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Price: 550 GBP
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<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong><strong>Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong></p><p>Take the initial steps toward a successful long-term career by studying the <strong>Passive Income with ChatGPT Artificial Intelligence Open AI</strong> package online with <strong>Studyhub </strong>through our online learning platform. The Passive Income with ChatGPT Artificial Intelligence Open AI bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong>course provides complete 360-degree training on Passive Income with ChatGPT Artificial Intelligence Open AI. You'll get not one, not two, not three, but <strong>twenty-five </strong>Passive Income with ChatGPT Artificial Intelligence Open AI courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these Passive Income with ChatGPT Artificial Intelligence Open AI courses are yours for as long as you want them once you enrol in this course</p><p><strong>This Passive Income with ChatGPT Artificial Intelligence Open AI Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Passive Income - An Ultimate Guide</li><li>Course 02: ChatGPT Masterclass: A Complete ChatGPT Zero to Hero!</li><li>Course 03: ChatGPT Complete Guide with Expertise</li><li>Course 04: Professional Digital Marketing Diploma</li><li>Course 05: Learn to Drive Traffic into Sales through Digital Marketing</li><li>Course 06: SEO - Search Engine Optimisation</li><li>Course 07: Advanced Training on SEO &amp; SMM Strategies</li><li>Course 08: Content Marketing Certification Course</li><li>Course 09: Social Media Marketing Course</li><li>Course 10: Email Marketing Course</li><li>Course 11: Unlocking the Power of Google Adwords for Digital Marketing</li><li>Course 12: Google Ads Training</li><li>Course 13: Facebook Marketing</li><li>Course 14: Instagram Marketing</li><li>Course 15: Affiliate Marketing</li><li>Course 16: Linkedin Marketing</li><li>Course 17: Youtube Marketing</li><li>Course 18: Social Media Influencer</li><li>Course 19: Affiliate Marketing Business Essentials</li><li>Course 20: E-Commerce: Complete Guide to Income Mastery</li><li>Course 21: Blogging</li><li>Course 22: ChatGPT for Marketing Content and Productivity with AI Tools</li><li>Course 23: Lead Generation and Attraction Marketing Training</li><li>Course 24: Marketing Strategies for Business</li><li>Course 25: Content Writing &amp; Copywriting For SEO and Sales</li></ul> <p>The <strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong>course has been prepared by focusing largely on Passive Income with ChatGPT Artificial Intelligence Open AI career readiness. It has been designed by our Passive Income with ChatGPT Artificial Intelligence Open AI specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.</p><p>The Passive Income with ChatGPT Artificial Intelligence Open AI Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Passive Income with ChatGPT Artificial Intelligence Open AI bundle course has been created with <strong>twenty-five </strong>premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</p><p>This Passive Income with ChatGPT Artificial Intelligence Open AI Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Passive Income with ChatGPT Artificial Intelligence Open AI Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Passive Income with ChatGPT Artificial Intelligence Open AI course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p><p><strong>In this exclusive </strong><strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Passive Income with ChatGPT Artificial Intelligence Open AI lessons</li><li>One to one assistance from Passive Income with ChatGPT Artificial Intelligence Open AIprofessionals if you need it</li><li>Innovative exams to test your knowledge after the Passive Income with ChatGPT Artificial Intelligence Open AIcourse</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all twenty-five Passive Income with ChatGPT Artificial Intelligence Open AI courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Passive Income with ChatGPT Artificial Intelligence Open AI certificate and transcript on the next working day</li><li>Easily learn the Passive Income with ChatGPT Artificial Intelligence Open AI skills and knowledge you want from the comfort of your home</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        250 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This <strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Passive Income with ChatGPT Artificial Intelligence Open AI</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Passive Income with ChatGPT Artificial Intelligence Open AI</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Passive Income with ChatGPT Artificial Intelligence Open AI </strong>career because this course includes various courses as a bonus. This bundle is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Passive Income with ChatGPT Artificial Intelligence Open AI career opportunities.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li>CPD Accredited e-Certificate - Free</li><li>CPD Accredited Hardcopy Certificate - Free</li><li>Enrolment Letter - Free</li><li>Student ID Card - Free</li></ul></div>

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Studyhub UK

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Passive Income

Passive Income with ChatGPT Artificial Intelligence Open AI - CPD Certified

General Admission

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">About this Course</strong></h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This 5 full-day course is focused on load forecasting in the power industry, a critical aspect of managing electricity generation and distribution with a focus on key areas described &nbsp;as follows:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Load Forecasting:</strong>&nbsp;The course presents advanced load forecasting techniques, which are essential for predicting electricity demand accurately. Load forecasting is critical for grid management and resource planning across all forecasting time horizons.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Temporal Granularity:</strong>&nbsp;Some regions have transitioned to load forecasts with finer temporal granularity, moving beyond hourly predictions. This shift aims to reduce forecasting uncertainties and improve real-time grid management and generate improved hybrid methodologies</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Frequency of Updates:</strong>&nbsp;As the operation of electric grids becomes more complex, there&rsquo;s a need for more frequent updates in load forecasts, due to the increased penetration of inverter-based resources, which can vary in output rapidly.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Weather Sensitivity Analysis</strong>: The course examines how weather conditions impact load forecasts. It covers weather sensitivity analysis, which quantifies the influence of meteorological factors on electricity demand. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Statistical and Mathematical Models:</strong>&nbsp;The course delves into the application of statistical and mathematical models for load forecasting. These models often include time series analysis, regression analysis, and other mathematical tools to make predictions.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Artificial Intelligence and Machine Learning (AI/ML</strong>): The course highlights the integration of AI and ML techniques in load forecasting. Machine learning algorithms are used for data-driven predictions and pattern recognition, improving forecast accuracy.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Grid Complexity:</strong>&nbsp;As the power grid becomes more complex due to increased penetration of renewable and inverter-based resources, load forecasts require higher temporal resolution and adaptability to changing conditions.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Practical Applications-Industry Examples:</strong>&nbsp;It emphasizes practical applications of forecasting methods, supported by real-life examples from large control areas in North America, Australia, Europe. This approach helps professionals understand how to apply these methods effectively.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting.</p></section><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Advanced Load Forecasting & Methodology" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINING OBJECTIVES</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course offers a comprehensive approach to all aspects of load forecasting:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Gain a perspective of load forecasting from both operators in the generating plant and system operators.</li><li fr-original-style="" style="box-sizing: border-box;">Understand and review the advanced load forecasting concepts and forecasting methodologies</li><li fr-original-style="" style="box-sizing: border-box;">Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames</li><li fr-original-style="" style="box-sizing: border-box;">Appreciate market segmentation and econometric framework for long term forecasts</li><li fr-original-style="" style="box-sizing: border-box;">Find out the most recent practical application of load forecasting as examples from large power companies</li><li fr-original-style="" style="box-sizing: border-box;">Get access to recent industry reports and developments</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TARGET AUDIENCE</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Energy load forecasting professionals from power plant and system operators</li><li fr-original-style="" style="box-sizing: border-box;">Energy planners and energy outlook forecasters and plant operators</li><li fr-original-style="" style="box-sizing: border-box;">Fuel procurement professionals</li><li fr-original-style="" style="box-sizing: border-box;">Planners and schedulers of thermal generating units</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">COURSE LEVEL</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Intermediate</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINER</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Modern Power System in Digital Utilities &ndash; The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020</li><li fr-original-style="" style="box-sizing: border-box;">Assessment of OETC Control Centre, Oman, December 2019</li><li fr-original-style="" style="box-sizing: border-box;">Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019</li><li fr-original-style="" style="box-sizing: border-box;">Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia)</li><li fr-original-style="" style="box-sizing: border-box;">The Modern Power System: Impact of the Power Electronics on the Power System</li><li fr-original-style="" style="box-sizing: border-box;">The Digital Utility, AI and Blockchain</li><li fr-original-style="" style="box-sizing: border-box;">Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada</li><li fr-original-style="" style="box-sizing: border-box;">Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia)</li><li fr-original-style="" style="box-sizing: border-box;">Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level.</li><li fr-original-style="" style="box-sizing: border-box;">Enterprise Risk methodology, EDP, Portugal</li><li fr-original-style="" style="box-sizing: border-box;">Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia</li><li fr-original-style="" style="box-sizing: border-box;">Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA)</li><li fr-original-style="" style="box-sizing: border-box;">EUSN, ENERGY &amp; UTILITIES SECTOR NETWORK, Government of Canada, 2016</li><li fr-original-style="" style="box-sizing: border-box;">Connected+, IOT, Toronto, Canada September 2016 and 2015</li><li fr-original-style="" style="box-sizing: border-box;">Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014</li><li fr-original-style="" style="box-sizing: border-box;">Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"></a></section><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Advanced Load Forecasting & Methodology" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/advanced-load-forecasting-methodology-classroom-training/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable</p></div></section>

EnergyEdge - Training for a Sustainable Energy Future

Energy Management

Electrical Engineering

Power System Protection

Enhance your forecasting skills with EnergyEdge's Advanced Load Forecasting Methodology course. Join our classroom training for expert insights.

Advanced Load Forecasting & Methodology

Team of 10, pp

Normal Fee, pp

Loughborough

<div>
		

		<div>
			
			<p>In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.</p>
			<div><i></i> 120 minutes</div>
			<div><i></i>  £50.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><p>In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider-it is a truly disruptive force, one that promises to deliver an entirely new level of results for all aspects of the business. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI.</p>
<p>Despite its promises, AI can seem like a daunting concept for business professionals. How can you hope to apply AI to your own business if you can't see beyond the vague buzzwords and hype? That's why this course was created: to give you the essential knowledge of AI you'll need to steer the business forward.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is primarily designed for managers, business leaders, and other decision-makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have foundational knowledge of business processes and general concepts. You should also have at least a basic understanding of information technology resources and systems, including networks, computers, and other electronic devices used in the enterprise.</p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4><span><strong>Lesson 1: AI Fundamentals</strong></span></h4>
<p>Topic A: AI Concepts<br />Topic B: Approaches to Machine Learning and Deep Learning</p>
<h4><span><strong>Lesson 2: AI Implementations</strong></span></h4>
<p>Topic A: Data Science<br />Topic B: Search Engines</p>
<h4><span><strong>Lesson 2: AI Implementations (cont.)</strong></span></h4>
<p>Topic C: Natural Language Processing<br />Topic D: Computer Vision<br />Topic E: Robotics</p>
<h4><span><strong>Lesson 4: The Impact of AI</strong></span></h4>
<p>Topic A: Benefits of AI<br />Topic B: Challenges of AI<br />Topic C: Business Use Cases for AI</p>
<p></p>

Mpi Learning - Professional Learning And Development Provider

Business Analytics & Intelligence

Generative AI

Business Information Technology

Microsoft AI-900

AI (Artificial Intelligence)

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

AI For Leaders

<p>Transform the future - one line of code at a time. This comprehensive online bundle equips you with the foundational knowledge and practical skills to explore the exciting world of Artificial Intelligence (AI).</p><p><strong>What you'll gain:</strong></p><ul><li><strong>15 in-depth courses</strong>: Master essential concepts, delve into real-world applications, and explore cutting-edge deep learning projects.</li><li><strong>Structured learning path</strong>: Progress from core AI principles to advanced techniques at your own pace.</li><li><strong>Interactive learning</strong>: Engage with video lectures, quizzes, and practical coding exercises.</li><li><strong>Project-based learning</strong>: Apply your newfound knowledge with hands-on projects in areas like image recognition and social media automation.</li></ul><p>This bundle is designed for anyone curious about AI, from absolute beginners to those seeking to enhance their existing knowledge. The bundle culminates in advanced Deep Learning Projects where you'll build real-world AI applications.</p><p><strong>Course list: </strong></p><p><strong>Course 01: Foundations of Artificial Intelligence:</strong> Explore the core concepts of AI, including machine learning, deep learning, and natural language processing.</p><p><strong>Course 02: Introduction to Statistics:</strong> Grasp the fundamental statistical concepts crucial for understanding and working with AI data.</p><p><strong>Course 03: PIC Microcontroller Simulation:</strong> Gain experience in microcontroller programming, a valuable skill for building physical AI systems.</p><p><strong>Course 04: Probability and Statistics Essential Training:</strong> Strengthen your understanding of probability and statistics, essential tools for analysing AI data.</p><p><strong>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong> Delve deeper into statistical analysis specifically for data science and machine learning applications.</p><p><strong>Course 06: Project on Deep Learning - Artificial Neural Network:</strong> Build your own deep learning model using artificial neural networks.</p><p><strong>Course 07: ChatGPT &amp; AI: 23 Ways to Make Money with AI:</strong> Explore the potential of AI for generating income through various creative and entrepreneurial avenues.</p><p><strong>Course 08: Master in JavaScript Quickly Using ChatGPT Open AI:</strong> Utilise ChatGPT's capabilities to accelerate your mastery of JavaScript programming.</p><p><strong>Course 09: ChatGPT for Marketing and Productivity with AI Tools:</strong> Discover how ChatGPT and other AI tools can enhance your marketing and productivity strategies.</p><p><strong>Course 10: Data Science &amp; Machine Learning with Python:</strong> Learn Python, a popular programming language widely used in data science and machine learning.</p><p><strong>Course 11: Hands-on Machine Learning Project - Covid Mask Detector:</strong> Develop a machine learning model that detects the presence of face masks in images.</p><p><strong>Course 12: Hands-on Machine Learning Project - Auto Image Captioning for Social Media:</strong> Build an AI system that automatically generates captions for your social media images.</p><p><strong>Course 13: Deep Learning Projects - Handwritten Digit Recognition Using Neural Network:</strong> Create a deep learning model that can recognise handwritten digits.</p><p><strong>Course 14: Deep Learning Projects - Convolutional Neural Network:</strong> Explore the power of convolutional neural networks (CNNs) for image recognition tasks.</p><p><strong>Course 15: Deep Learning &amp; Neural Networks Python - Keras:</strong> Learn Keras, a popular Python library for building and training deep learning models.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals with no prior AI knowledge who want to start their AI journey.</li><li>Professionals seeking to upskill in AI and machine learning.</li><li>Anyone interested in exploring the potential of AI for creative or business applications.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge. </p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This bundle opens doors to a range of exciting careers in the booming field of AI, including:</p><ul><li>Machine Learning Engineer</li><li>Data Scientist</li><li>AI Developer</li><li>AI Researcher</li><li>Robotics Engineer</li></ul><p>And many more!</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div><p>A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p></div>

                        </div>

One Education

Artificial Intelligence (Online) Course

<p><strong>The future is data-driven.</strong> Imagine wielding the power to extract insights from vast datasets and leverage artificial intelligence to solve complex problems. This Data Science and Artificial Intelligence bundle empowers you to unlock the potential of data and AI. Equip yourself with the skills to solve complex problems, make informed decisions, and shape the future of data-driven innovation.</p><p><strong>What awaits you:</strong></p><ul><li><strong>15 in-depth courses:</strong> Master essential programming languages like Python and R, delve into statistics and probability, and explore the fascinating world of artificial intelligence.</li><li><strong>Learn by doing:</strong> Gain practical experience through hands-on projects, applying your knowledge to real-world data science and AI applications.</li><li><strong>Unlock career possibilities:</strong> Develop a sought-after skillset that opens doors to exciting opportunities in data science, machine learning, and AI-powered fields.</li></ul><p><strong>This is your chance to:</strong></p><ul><li>Become a data-driven decision-maker.</li><li>Build innovative AI solutions.</li><li>Transform businesses with the power of data.</li></ul><p><strong>Enrol now and take your first step towards a data-driven future!</strong></p><p><strong>Course List </strong></p><ul><li><strong>Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong> Master the language of data! This course equips you with core statistical and probability concepts for analysing data and building machine learning models.</li></ul><ul><li><strong>R Programming for Data Science:</strong> Unleash the power of R, a popular programming language for data analysis and visualisation. Learn to manipulate data, perform statistical tests, and create informative graphics.</li></ul><ul><li><strong>Python Data Science:</strong> Dive into Python, the go-to language for data science. This course equips you with essential skills for data manipulation, analysis, and building machine learning models.</li></ul><ul><li><strong>SQL for Data Science, Data Analytics and Data Visualisation:</strong> Unlock the secrets of databases! Learn SQL, a powerful query language for retrieving and formatting data for analysis and visualisation in data science projects.</li></ul><ul><li><strong>Quick Data Science Approach from Scratch:</strong> Get started with data science fast! This course provides a foundational understanding of the entire data science workflow, from data acquisition to analysis and communication.</li></ul><ul><li><strong>Foundations of Artificial Intelligence:</strong> Demystify the world of AI! Explore core concepts like machine learning, deep learning, and natural language processing to understand how AI systems learn and solve problems.</li></ul><ul><li><strong>Consider replacing with:</strong><strong>Advanced Statistics for Data Science:</strong> Take your statistical skills to the next level. This course delves deeper into advanced statistical techniques commonly used in data science projects.</li></ul><ul><li><strong>ChatGPT &amp; AI: 23 Ways to Make Money with AI:</strong> Discover the monetisation potential of AI! Learn how to leverage ChatGPT, a large language model, and explore various ways to generate income through AI applications.</li></ul><ul><li><strong>ChatGPT for Marketing and Productivity with AI Tools:</strong> Boost your marketing and productivity with AI! Explore how ChatGPT and other AI tools can automate tasks, generate content, and optimise marketing campaigns.</li></ul><ul><li><strong>Hands-on Machine Learning Project - Auto Image Captioning for Social Media:</strong> Learn by doing! Build a real-world machine learning project that automatically generates captions for social media images. Gain practical experience in training and deploying a machine learning model.</li></ul><ul><li><strong>Spatial Data Visualisation and Machine Learning in Python:</strong> Uncover hidden patterns in location-based data! Learn spatial data analysis techniques and use Python to visualise and analyse geographic data for machine learning applications.</li></ul><ul><li><strong>Machine Learning for Predictive Maps in Python and Leaflet:</strong> Predict the future with maps and machine learning! Develop machine learning models that can make predictions based on geographic data, visualised using interactive maps with Leaflet.js.</li></ul><ul><li><strong>U&amp;P AI - Natural Language Processing (NLP) with Python:</strong> Make machines understand human language! Master NLP techniques for text analysis, sentiment analysis, and machine translation using Python libraries.</li></ul><ul><li><strong>Learn AI with Python:</strong> Deepen your understanding of AI. Explore various Python libraries and frameworks commonly used in machine learning and AI development.</li></ul><ul><li><strong>Creating REST APIs with Python Django:</strong> Connect your data and applications! Learn how to build RESTful APIs using Python's Django framework, enabling data exchange and communication between different systems.</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists, machine learning engineers, and AI enthusiasts</li><li>Business professionals seeking to leverage data and AI for better decision-making</li><li>Anyone curious about the future of technology and its applications</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The Data Science &amp; Artificial Intelligence Bundle equips you with a versatile skillset that opens doors to a multitude of exciting career paths. Here's a glimpse into some potential journeys you can embark on:</p><ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>AI Specialist</li><li>Business Intelligence Analyst</li><li>Data Analyst</li><li>Research Scientist</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div><p>A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p></div>

                        </div>

Data Science and Artificial Intelligence (Online) Course

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">About this Training Course</strong></h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The goal of data analytics is to gain understanding and intelligence from data which can be used to make improvements or changes in business. Analytics often involves studying past historical data for hidden valuable trends, to analyze the effects of certain decisions or events, or to evaluate the performance of a given tool or scenario.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The aim of this 2 full-day course is to enable participants to understand the process behind Data Analytics or Data Science, equip them to find opportunities from their data to make better business decisions as well as apply the insights obtained from the data to identify potential gaps and develop improvements needed in the business. The applications are to help participants understand better where the possible use of data analytics can be applied in their respective field of work or discipline.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course can also be offered through Virtual Instructor Led Training (VILT) format.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Introduction to Data Analytics & Visualization" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING OBJECTIVES</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">By the end of this course, participants will be able to:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Describe the definition of Data Analytics, Data Science, Machine Learning &amp; Artificial intelligence and the main difference between them</li><li fr-original-style="" style="box-sizing: border-box;">Describe the use and purpose of data analytics and data science</li><li fr-original-style="" style="box-sizing: border-box;">Describe the strengths and weakness of data analytics and visualization in a business setting</li><li fr-original-style="" style="box-sizing: border-box;">Explain the importance of visualization, the first step to gain value from Data Analytics and what benefits visualization provides</li><li fr-original-style="" style="box-sizing: border-box;">Propose how data visualization and its tools can be used to identify potential gaps and develop improvements in the business</li><li fr-original-style="" style="box-sizing: border-box;">Describe how data analytics and visualisation can enhance decision making</li><li fr-original-style="" style="box-sizing: border-box;">Walkthrough the steps on how to start building data analytics capabilities, namely data governance and visualization.</li><li fr-original-style="" style="box-sizing: border-box;">Explain the technology buzzwords around Data Science, Artificial Intelligence and Big Data technology for better communication/discussion with technology vendors</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TARGET AUDIENCE</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course will benefit:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Managers</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Analysts</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Technologists</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Technology leaders</p></li><li fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Oil &amp; Gas professionals&nbsp;who would like to find out more on what data analytics has to offer and how they can gain further insights from their existing data.</p></li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE LEVEL</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Basic</li><li fr-original-style="" style="box-sizing: border-box;">Foundation</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/#collapseThree" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING METHODS</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">System requirements for this course:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The system requirements are as follows:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Excel 2013</li><li fr-original-style="" style="box-sizing: border-box;">Windows 7 Enterprise Above</li><li fr-original-style="" style="box-sizing: border-box;">8GB Memory RAM, preferably 16 RAM</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINER</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Your expert course leader is an experienced data scientist, consultant and seasoned trainer with over 1,600 man-hours of training completed to date. He currently conducts training at the SAS Institute, and is also the adjunct senior faculty with SUSS and SCALE, NUS. He was a guest lecturer at NUS-ISS before and previously held an adjunct position in School of Information Systems, SMU. He is currently the mentor to the trainees accepted into the IMDA-SAS BIA Programme.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) Singapore Management University, School of Information Systems. He managed the industrial relationships through projects and attachments. He often advised companies on the type of Analytics projects they can do with their data and is a co-supervisor for many MITB students on their Analytics Capstone Projects.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Through his career, he has gathered much experience on statistical modeling, from working in the industry, supervising MITB (Analytics) students and doing education research. His Analytics experience range from a wide variety of business functions and industries, gathered from consulting with companies from a wide variety of industries.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His strong passion in Analytics/Data Science can be seen through his involvement in Analytics interest groups, being a Co-founder of DataScience.Sg, former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of DataKind SG project. He also reads widely on the different topics related to Data Science and Artificial Intelligence, keeping himself up-to-date with their developments.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His research interest lies in how Data Science can help organisations and businesses be more efficient and effective, and how organisations can build in-house data science capabilities successfully. He holds an MBA from the University of Adelaide. He obtained his Bachelor Degree in Economics from the National University of Singapore, with a minor in Computational Finance.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Introduction to Data Analytics & Visualization" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/introduction-to-data-analytics-visualization-classroom-training/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable</p></div></section>

Machine Learning (ML)

Develop your expertise in data analytics and visualization with EnergyEdge's Introduction to Data Analytics Visualization course. Join our classroom training to acquire essential skills in this field.

Introduction to Data Analytics & Visualization

<p>AI can create art! There are AI algorithms and models that have been trained to generate artwork, music, and even poetry. Dive deep into the world of AI, starting from the basics and progressing to cutting-edge technologies. From understanding the mathematics that underpin AI to exploring machine learning, deep learning, and real-world applications, this course equips you with the knowledge you need to thrive in this dynamic field. Whether you're a tech enthusiast or a professional looking to enhance your skills, this course is your gateway to a future where AI shapes the world.</p><p><strong>Key Features</strong></p><ul><li>CPD Accredited</li><li>FREE PDF + Hardcopy certificate</li><li>Fully online, interactive course</li><li>Self-paced learning and laptop, tablet and smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Course Curriculum </strong></p><ul><li>Module 01 : Introduction to Artificial Intelligence</li><li>Module 02 : Mathematics for AI</li><li>Module 03 : Knowledge Representation in AI - Part 1</li><li>Module 04 : Knowledge Representation in AI - Part 2</li><li>Module 05 : Machine Learning - Part 1</li><li>Module 06 : Machine Learning - Part 2</li><li>Module 07 : Deep Learning</li><li>Module 08 : Natural Language Processing</li><li>Module 09 : Computer Vision</li><li>Module 10 : Robotics</li><li>Module 11 : Building AI Applications</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Grasp the fundamentals of artificial intelligence and its applications.</li><li>Develop a strong mathematical foundation for AI algorithms.</li><li>Master knowledge representation techniques in AI.</li><li>Explore the principles and applications of machine learning.</li><li>Dive into the world of deep learning and its use in AI.</li><li>Understand the core concepts of natural language processing and computer vision.</li></ul><p><strong>Accreditation</strong></p><p>This course is <strong>CPD Quality Standards</strong> (<strong>CPD QS)</strong> accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Technology enthusiasts eager to delve into AI.</li><li>Students pursuing a career in AI and machine learning.</li><li>Professionals seeking to upskill in the AI domain.</li><li>Engineers and programmers interested in AI development.</li><li>Entrepreneurs exploring AI for business solutions.</li><li>Anyone with a curiosity about the future of artificial intelligence.</li><li>Graduates looking to enhance their tech-related knowledge.</li><li>Innovators with an interest in robotics and AI applications.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>AI Research Scientist</li><li>Machine Learning Engineer</li><li>Data Scientist</li><li>Natural Language Processing Engineer</li><li>Computer Vision Specialist</li><li>Robotics Software Engineer</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Once you've successfully completed your course, you will immediately be sent a FREE digital certificate.</p></div>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK).<br />For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only <strong>£10</strong>.<br />Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p></div>

                        </div>

Training Express

Foundations of Artificial Intelligence Course

London

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who is this course for?&nbsp;Sketchup Artificial Intelligence Training Course.</strong><br fr-original-style="" style="box-sizing: border-box;">Mastering SketchUp Artificial Intelligence (AI) is essential for designers, offering automation, efficiency, and innovative solutions. It saves time, enhances visualizations, fosters collaboration, and future-proofs skills, ensuring a competitive edge in the design industry.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://www.autocadtraininglondon.co.uk/product-page/sketchup-and-stable-diffusion-rendering-course" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Click here for more info: Website</strong></a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">How to Book?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">1-on-1 training. Customize your schedule from Mon&nbsp;to Sat&nbsp;from 9 am&nbsp;to 7 pm&nbsp;Call to book&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration:</strong> 16 hours.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Method:</strong>&nbsp;In-person&nbsp;or Live Online</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sketchup and (Artificial Intelligence) Stable Diffusion Rendering Course (16 hours)</strong></p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 1: Sketchup Fundamentals (2 hours)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Sketchup software overview and interface navigation</li>
<li fr-original-style="" style="box-sizing: border-box;">Introduction to basic drawing tools and fundamental geometry creation techniques</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 2: Texturing and Material Mastery (2 hours)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Application of textures and customization of materials</li>
<li fr-original-style="" style="box-sizing: border-box;">Exploration of texture mapping and comprehensive material libraries</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 3: Illumination and Shadows (2 hours)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Comprehending lighting principles and strategic light placement</li>
<li fr-original-style="" style="box-sizing: border-box;">Crafting realistic shadows and reflections</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 4: Advanced Modeling Techniques (3 hours)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Creating intricate shapes and harnessing advanced modeling tools</li>
<li fr-original-style="" style="box-sizing: border-box;">Efficiently managing groups, components, and modifiers</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 5: Stable Diffusion Rendering (2 hours)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Initiating stable diffusion rendering</li>
<li fr-original-style="" style="box-sizing: border-box;">Optimizing rendering settings for superior outcomes</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 6: Scene Composition and Camera Configuration (2 hours)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Exploring composition principles and camera perspectives</li>
<li fr-original-style="" style="box-sizing: border-box;">Scene management and creation of captivating walkthrough animations</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 7: Rendering Optimization Strategies (2 hours)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Techniques for optimizing models to expedite rendering</li>
<li fr-original-style="" style="box-sizing: border-box;">Application of render passes and post-processing methods</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 8: Real-World Projects and Portfolio Building (1 hour)</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Application of acquired skills in completing authentic projects</li>
<li fr-original-style="" style="box-sizing: border-box;">Professional portfolio presentation techniques</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Optional: Stable Diffusion and Python Installation (Additional 10 hours)</strong></p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 1: Introduction to Stable Diffusion and Python</strong></p>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Comprehensive understanding of Stable Diffusion and Python&#39;s significance <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 2: System Prerequisites</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardware and software requirements for successful installation <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 3: Python Installation Guide</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Step-by-step installation process for various operating systems <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 4: Configuring Python Environment</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Configuration of environment variables and package managers <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 5: Stable Diffusion Installation</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Downloading and installing the Stable Diffusion package <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 6: Setting Up the Development Environment</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Configuration of integrated development environments (IDEs) for Python and Stable Diffusion <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 7: Troubleshooting and Common Issues</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Identification and resolution of common installation errors <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 8: Best Practices and Recommendations</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Effective management of Python and Stable Diffusion installations <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 9: Practical Applications and Projects</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hands-on exercises exemplifying the practical usage of Stable Diffusion and Python <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Module 10: Advanced Topics (Optional)</strong></p>
</li>
<li fr-original-style="" style="box-sizing: border-box;">
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Exploration of advanced features and techniques</p>
</li>
</ul>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Stable Diffusion<br fr-original-style="" style="box-sizing: border-box;">
<a href="https://stablediffusionweb.com/" target="_blank" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">https://stablediffusionweb.com</a></strong><br fr-original-style="" style="box-sizing: border-box;">
<a href="https://stability.ai/stable-diffusion" target="_blank" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">https://stable-diffusion-ui.github.io<br fr-original-style="" style="box-sizing: border-box;">
https://stability.ai/stable-diffusion</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon successful completion of the Sketchup and Stable Diffusion Rendering Course with a focus on AI image rendering, participants will achieve the following:</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">1. Mastery of AI Image Rendering:</strong> Attain expertise in employing AI-powered rendering techniques to produce realistic and top-quality visualizations.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">2. Proficiency in Sketchup for 3D Modeling:</strong> Navigate the software adeptly, utilize drawing tools with proficiency, and craft intricate 3D models.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">3. Enhanced Rendering Optimization:</strong> Implement AI-based rendering to enhance model visuals, resulting in faster rendering times and superior image quality.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">4. Application of AI-driven Lighting and Shadows:</strong> Employ AI algorithms for precise lighting placement, shadows, and reflections, elevating the realism of renderings.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5. Development of a Professional Portfolio:</strong> Present AI-rendered projects within a polished professional portfolio, highlighting advanced image rendering capabilities.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">1. Mastering Sketchup:</strong> Attain proficiency in Sketchup, a renowned and user-friendly 3D modeling software, equipping you with the skills needed to adeptly create and manipulate 3D models.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">2. Advanced Rendering Expertise:</strong> Explore stable diffusion rendering, an avant-garde technique that simplifies the creation of realistic and high-quality renderings. Broaden your rendering capabilities, producing visually stunning representations of your designs.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">3. Practical Industry Applications:</strong> Cultivate practical skills relevant to diverse industries, encompassing architecture, interior design, product development, and visualization. Elevate your professional portfolio with captivating renderings that showcase your design prowess.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">4. Interactive Learning:</strong> Participate in hands-on exercises and projects that promote active learning and the practical application of concepts. Benefit from personalized feedback and expert guidance, ensuring your continuous progress throughout the course.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5. Career Advancement:</strong> Elevate your career prospects by adding valuable skills to your toolkit. Proficiency in crafting detailed 3D models and impressive renderings through stable diffusion techniques opens doors to diverse job opportunities within the design and visualization sector.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">6. Flexibility and Convenience:</strong> Access course materials online and learn at your own pace. Enjoy the flexibility of tailoring the coursework to your schedule, allowing you to harmonize your learning journey with other commitments.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Advantages:</strong></p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Tailored Learning:</strong> Enjoy personalized 1-on-1 sessions, accommodating your schedule from Monday to Saturday, 9 am to 7 pm.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Mastery of Sketchup:</strong> Develop proficiency in the widely-used and user-friendly 3D modeling software, enabling efficient creation and manipulation of 3D models.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Advanced Rendering Proficiency:</strong> Acquire expertise in stable diffusion rendering for producing realistic, high-quality renderings that enhance the visual appeal of your designs.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Practical Applicability:</strong> Develop practical skills applicable across diverse domains, including architecture, interior design, product development, and visualization, enriching your professional portfolio.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Interactive Practical Experience:</strong> Engage in hands-on exercises with personalized guidance from seasoned instructors, ensuring consistent progress in your skillset.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Progression:</strong> Boost your career opportunities by gaining valuable skills in 3D modeling and generating impressive renderings through stable diffusion techniques.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Comprehensive Support:</strong> Benefit from free portfolio reviews, mock interviews, and career advice, providing additional resources to enhance your professional journey.</p>

ATL Autocad Training London

Autodesk

Google Sketchup

Trainers Course

3D Rendering

3D & Animation

SketchUp

Sketchup Artificial Intelligence Training Course

<h2>The Project Manager's Value Add through Artificial Intelligence</h2>
<p>Do you know that Artificial Intelligence (AI) is all around you? Today, even small projects have more data than a project manager can effectively trend or digest. Artificial Intelligence can help you today. Implementing AI on a project and understanding how to use it effectively makes you a value add over those that do not use it. Project managers are leaders and leaders do what is best for the team. Artificial Intelligence will assist in demonstrating your value as a leader. The future of AI and projects is only bound by the imagination.</p><h3>What You Will Learn:</h3><ul><li>How to use Artificial Intelligence on a project• It is not understanding 1s and 0s, it is understanding how to use AI</li><li>How to get AI implemented on a project• AI and the future of project management</li></ul>

IIL Europe Ltd

The Project Manager's Value Add through Artificial Intelligence

<h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Overview</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Thinking about how AI can work as part of a digital transformation for an organisation? Maybe your senior managers, board or other stakeholders need a clear strategy to convince them about the need before they commit to investing in new technology and processes.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">A digital ecosystem is fundamental to the operations of any modern business, and with the addition of AI, it has the capability to enable an organisation to service its customers and data better.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">This award introduces the critical concepts associated with AI and explores its relationship with the systems and processes that make up the digital ecosystem. It explores how AI can empower organisations to utilise Big Data through the use of Business Analysis and Machine Learning, and encourages candidates to consider a future vision of the world that is powered by AI.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Upon completion of the award, candidates will be able to demonstrate:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">1. An understanding of the key components of AI</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">2. An understanding of the relationship between AI and The Digital Ecosystem</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">3. An understanding of the relationship between AI and Data</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">4. An understanding of the role the IT professional plays in supporting AI for the future.ž</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Why Choose Duco Digital Training?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With self-study, you get a whole package of support we call PASS ASSIST, including:<br fr-original-style="" style="box-sizing: border-box;">Free one year BCS Associate membership (normally costing &pound;90)<br fr-original-style="" style="box-sizing: border-box;">Free BCS Data Analyst eBook<br fr-original-style="" style="box-sizing: border-box;">Practice exam papers<br fr-original-style="" style="box-sizing: border-box;">Series of support videos to get the most out of your course, making a learning plan and how to prepare for the exam<br fr-original-style="" style="box-sizing: border-box;">5-star rating<br fr-original-style="" style="box-sizing: border-box;">95% pass rate.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">A live training option is available, please contact us.</p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Description</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The &ldquo;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">AI and the Digital Ecosystem - BCS Foundation Award</strong>&rdquo; is a professional certification that is a globally recognized professional qualification that will help develop your knowledge and understanding of:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">1. Key components of AI:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Recall the general definition of human intelligence. (see Encyclopaedia Britannica)</li><li fr-original-style="" style="box-sizing: border-box;">State a general definition of artificial intelligence and how it relates to human intelligence.</li><li fr-original-style="" style="box-sizing: border-box;">Describe how the following are used within an application of Artificial intelligence; Machine Learning, Deep Learning, Data Science, Knowlewdge-Based systems , Robotics and Automation.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">2. AI and the digital ecosystem:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Explain what a digital ecosystem is.</li><li fr-original-style="" style="box-sizing: border-box;">Describe an ecosystem mindset.</li><li fr-original-style="" style="box-sizing: border-box;">Identify how AI can facilitate a digital ecosystem that works intuitively.</li><li fr-original-style="" style="box-sizing: border-box;">Discuss why you might make use of AI to create a digital ecosystem as a driver or enabler.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">3. The relationship between AI and Data:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Explain data infrastructure with specific relevance to Big Data</li><li fr-original-style="" style="box-sizing: border-box;">Describe the following concepts within data architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Suggest ways in which AI can support in the utilisation of Big Data.</li><li fr-original-style="" style="box-sizing: border-box;">Recognise different approaches used within the testing of AI systems.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">4. The potential future of AI:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Identify industries that can invest in AI.</li><li fr-original-style="" style="box-sizing: border-box;">Recognise the role of AI in raising human intelligence.</li><li fr-original-style="" style="box-sizing: border-box;">Explain the concept of digital singularity</li><li fr-original-style="" style="box-sizing: border-box;">Explain the need for individuals and organisations to maintain and update their skills and<br fr-original-style="" style="box-sizing: border-box;">knowledge in relation to current and emerging technologies.</li><li fr-original-style="" style="box-sizing: border-box;">Identify the role the IT professional plays in supporting a utopian future with AI.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exam Information of &ldquo;AI and the Digital Ecosystem - BCS Foundation Award&rdquo; Course</strong>:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">It is a 16 multiple choice questions, 2 scenario-based questions</li><li fr-original-style="" style="box-sizing: border-box;">Pass mark is 13/20 points or 65%</li><li fr-original-style="" style="box-sizing: border-box;">Duration of the exam is 30 minutes</li><li fr-original-style="" style="box-sizing: border-box;">The exam will be supervised virtually</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who is BCS?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Recognised globally by corporations, academics and IT professionals, BCS is the British Computer Society, more commonly known as the Chartered Institute for IT.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">They have over 60,000 members in 150 countries, and a wider community of business leaders, educators, practitioners and policy-makers all committed to their mission of leading the IT industry through its ethical challenges, to support the people who work in the industry, and to make IT good for society.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What our students say about us:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">"The training provided will assist me to conduct AI research projects in a more professional and systematic way. The knowledge provided will be incredibly valuable for my future study in the field of computer vision."<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;&mdash; Muhammad Lecturer and AI PhD Candidate</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&ldquo;Good training materials for remote learning, and the most impressive part was the speed at which they responded to questions.&rdquo;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;&mdash; Tom Data Protection Practitioner</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">"This proved to be a very valuable course to me."&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&mdash; Janet Business Analyst</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Meet Our Instructor</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Darren Winter is Director at Duco Digital and supports organisations with cutting-edge business intelligence, sales, and marketing automation solutions alongside courses and training in artificial intelligence, business analysis, and data protection across diverse sectors spanning the UK, Europe, the Middle East, and SE Asia.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Noteworthy achievements include training academics in AI for the Indonesian government and teaching students in Technology Sales for the Saudi Arabian government. In 2023, the UK Department of Business and Trade invited him as a leaders of AI for a trade mission to Indonesia where he discussed Indonesian AI and ethical policy with key stakeholders.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">He is also studying for his PhD in AI Ethics at Cordoba University, Spain, where he is exploring the impacts of the EU AI Act upon organisations.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For whom is the &ldquo;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">AI and the Digital Ecosystem - BCS Foundation Award</strong>&rdquo; course designed?</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whether you&#39;re new to the field of artificial intelligence or a professional looking to enhance your understanding of AI within the digital ecosystem, the &ldquo;AI and the Digital Ecosystem - BCS Foundation Award&rdquo; course is tailored to meet your needs. It&#39;s designed for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring AI Professionals: Individuals eager to enter the dynamic field of artificial intelligence, ready to establish a solid foundation in AI concepts and applications within the digital landscape.</li><li fr-original-style="" style="box-sizing: border-box;">Tech-Savvy Students: University scholars aiming to complement their academic knowledge with practical, industry-relevant skills in AI, preparing for a successful career in technology.</li><li fr-original-style="" style="box-sizing: border-box;">Career Changers: Professionals considering transitioning into AI roles from diverse backgrounds, seeking the essential knowledge required to thrive in the AI-driven digital ecosystem.</li><li fr-original-style="" style="box-sizing: border-box;">Digital Innovation Enthusiasts: Practitioners passionate about driving innovation and leveraging AI to enhance digital strategies and solutions within their organizations.</li><li fr-original-style="" style="box-sizing: border-box;">Emerging Leaders and Managers: Entry-level managers and team leaders looking to expand their AI expertise, enabling them to support AI initiatives and effectively integrate AI technologies into their organizational strategies.</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">An internet connection with a mobile/tablet or laptop is required to access the course</li><li fr-original-style="" style="box-sizing: border-box;">Access to laptop with camera is required for the exam and a pair of headphones is recommended for the exam.</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Globally, Artificial Intelligence solutions will be worth more than &pound;30bn by 2024 - boosting productivity up to 30% with up to 25% savings &amp; generate up to $15.7 trillion to the global economy in 2030.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Sectors using Artificial Intelligence:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Health</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Robotics</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Engineering &amp; Manufacturing</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Finance</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Marketing</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Transport</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Automotive</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Advertising</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Retail</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Researchers</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull; Cyber Security</p></section></div>

Duco Digital Training

IT Certifications

Digital Skills

This award introduces the critical concepts associated with AI and explores its relationship with the systems and processes that make up the digital ecosystem. It explores how AI can empower organisations to utilise Big Data through the use of Business Analysis and Machine Learning, and encourages candidates to consider a future vision of the world that is powered by AI.

AI and the Digital Ecosystem - BCS Foundation Award

General admission

<p><strong> 24-Hour Knowledge Knockdown! Prices Reduced Like Never Before </strong></p><p>Are you fascinated by the potential of AI to revolutionise our world? The UK government has pledged<strong> £1 billion to invest in AI research</strong>, creating exciting job opportunities in this dynamic field. If you're curious about how AI works and want to explore its practical applications, this <strong>Artificial Intelligence, Open AI &amp; ChatGPT bundle</strong> is for you!</p><p><strong>With this Artificial Intelligence, Open AI &amp; ChatGPT course you will get 20 CPD Accredited PDF Certificates, Hard Copy Certificate of Project on Deep Learning - Artificial Neural Network and our exclusive student ID card absolutely free.</strong><strong><br /></strong></p><p><strong>Courses Are Included In This Artificial Intelligence, Open AI &amp; ChatGPT Bundle:</strong><strong><br /></strong></p><ul><li><strong> Course 01: </strong>Project on Deep Learning - Artificial Neural Network</li><li><strong> Course 02: </strong>Deep Learning &amp; Neural Networks Python - Keras</li><li><strong> Course 03: </strong>Machine Learning Basics</li><li><strong> Course 04: </strong>Hands on Machine Learning Project - Auto Image Captioning for Social Media</li><li><strong> Course 05: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 06: </strong>Hands on Deep Learning Projects - Stock price Prognostics</li><li><strong> Course 07: </strong>Deep Learning Projects - Convolutional Neural Network</li><li><strong> Course 08: </strong>Deep Learning Projects - Handwritten Digit Recognition Using Neural Network</li><li><strong> Course 09: </strong>Essential Training on Deep Learning Heuristic using R</li><li><strong> Course 10: </strong>Project on Deep Learning - Artificial Neural Network</li><li><strong> Course 11: </strong>Machine Learning with Python Course</li><li><strong> Course 12: </strong>Python Data Science</li><li><strong> Course 13: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 14: </strong>Data Science &amp; Machine Learning with R Training</li><li><strong> Course 15: </strong>Azure Machine Learning</li><li><strong> Course 16: </strong>A Beginner Crash Course on ChatGPT</li><li><strong> Course 17: </strong>ChatGPT Complete Guide with Expertise</li><li><strong> Course 18: </strong>ChatGPT Masterclass: A Complete ChatGPT Zero to Hero!</li><li><strong> Course 19: </strong>ChatGPT for Marketing and Productivity with AI Tools</li><li><strong> Course 20: </strong>Fundamentals to Identifying Market Trends You Can Capitalise On</li></ul><p>This comprehensive Artificial Intelligence, Open AI &amp; ChatGPT bundle equips you with the essential skills to thrive in the AI revolution. You'll learn about deep learning, building powerful neural networks that can learn and adapt like the human brain. Master Python, the language of Artificial Intelligence, and explore practical applications like image captioning and stock price prediction.</p><p>Don't miss this chance to elevate your career and skillset. Enrol in Artificial Intelligence, Open AI &amp; ChatGPT today and take the first step towards achieving your goals and dreams.</p><p><strong>Why buy this Artificial Intelligence, Open AI &amp; ChatGPT?</strong></p><ul><li><strong>Free CPD Accredited Certificate</strong> upon completion of Artificial Intelligence, Open AI &amp; ChatGPT</li><li>Get <strong>a free student ID card</strong> with Artificial Intelligence, Open AI &amp; ChatGPT</li><li><strong>Lifetime access</strong> to the Artificial Intelligence, Open AI &amp; ChatGPT course materials</li><li>Get instant access to this Artificial Intelligence, Open AI &amp; ChatGPT course</li><li>Learn Artificial Intelligence, Open AI &amp; ChatGPT from anywhere in the world</li><li>24/7 tutor support with the Artificial Intelligence, Open AI &amp; ChatGPT course.</li><li>Artificial Intelligence, Open AI &amp; ChatGPT is an entirely online, interactive lesson with voiceover audio.</li></ul> <p><strong>Start your learning journey straightaway with our Artificial Intelligence, Open AI &amp; ChatGPT Training!</strong></p><p>This Artificial Intelligence's curriculum has been designed by Artificial Intelligence experts with years of Artificial Intelligence experience behind them. The Artificial Intelligence course is extremely dynamic and well-paced to help you understand Artificial Intelligence with ease. You'll discover how to master the Artificial Intelligence skill while exploring relevant and essential topics.</p><p><strong>Certification of Artificial Intelligence, Open AI &amp; ChatGPT</strong></p><p>You have to complete the assignment given at the end of the Artificial Intelligence, Open AI &amp; ChatGPT course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Artificial Intelligence, Open AI &amp; ChatGPT exam You will be entitled to claim a PDF &amp; Hardcopy certificate accredited by CPD Quality standards completely free.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        200 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Artificial Intelligence, Open AI &amp; ChatGPT course is ideal for:</p><ul><li>Students seeking mastery in Artificial Intelligence, Open AI &amp; ChatGPT</li><li>Professionals seeking to enhance Artificial Intelligence, Open AI &amp; ChatGPT skills</li><li>Individuals looking for a Artificial Intelligence, Open AI &amp; ChatGPT-related career.</li><li>Anyone passionate about Artificial Intelligence, Open AI &amp; ChatGPT</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Artificial Intelligence, Open AI &amp; ChatGPT doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Artificial Intelligence, Open AI &amp; ChatGPT bundle will allow you to kickstart or take your career in the related sector to the next stage.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited  Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited  Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

                        </div>

 24-Hour Knowledge Knockdown! Prices Reduced Like Never Before 
Are you fascinated by the potential of AI to revolutionise our world? The UK government has pledged £1 billion to invest in AI research, creating exciting job opportunities in this dynamic field. If you're curious about how AI works and want to explore its practical applications, this Artificial Intelligence, Open AI & ChatGPT bundle is for you!
With this Artificial Intelligence, Open AI & ChatGPT course you will get 20 CPD Accredited PDF Certificates, Hard Copy Certificate of Project on Deep Learning - Artificial Neural Network and our exclusive student ID card absolutely free.

Courses Are Included In This Artificial Intelligence, Open AI & ChatGPT Bundle:

Course 01: Project on Deep Learning - Artificial Neural Network
Course 02: Deep Learning & Neural Networks Python - Keras
Course 03: Machine Learning Basics
Course 04: Hands on Machine Learning Project - Auto Image Captioning for Social Media
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: Hands on Deep Learning Projects - Stock price Prognostics
Course 07: Deep Learning Projects - Convolutional Neural Network
Course 08: Deep Learning Projects - Handwritten Digit Recognition Using Neural Network
Course 09: Essential Training on Deep Learning Heuristic using R
Course 10: Project on Deep Learning - Artificial Neural Network
Course 11: Machine Learning with Python Course
Course 12: Python Data Science
Course 13: Quick Data Science Approach from Scratch
Course 14: Data Science & Machine Learning with R Training
Course 15: Azure Machine Learning
Course 16: A Beginner Crash Course on ChatGPT
Course 17: ChatGPT Complete Guide with Expertise
Course 18: ChatGPT Masterclass: A Complete ChatGPT Zero to Hero!
Course 19: ChatGPT for Marketing and Productivity with AI Tools
Course 20: Fundamentals to Identifying Market Trends You Can Capitalise On
This comprehensive Artificial Intelligence, Open AI & ChatGPT bundle equips you with the essential skills to thrive in the AI revolution. You'll learn about deep learning, building powerful neural networks that can learn and adapt like the human brain. Master Python, the language of Artificial Intelligence, and explore practical applications like image captioning and stock price prediction.
Learning Outcomes
Understand the foundational concepts of artificial intelligence and machine learning techniques.
Gain hands-on experience with deep learning projects and their practical applications.
Learn to implement machine learning algorithms using Python and R programming languages.
Develop skills in data science and statistical analysis for informed decision-making.
Master ChatGPT functionalities for marketing and productivity enhancements.
Explore market trends and develop strategies to leverage AI tools effectively.
Don't miss this chance to elevate your career and skillset. Enrol in Artificial Intelligence, Open AI & ChatGPT today and take the first step towards achieving your goals and dreams.
Why buy this Artificial Intelligence, Open AI & ChatGPT?
Free CPD Accredited Certificate upon completion of Artificial Intelligence, Open AI & ChatGPT
Get a free student ID card with Artificial Intelligence, Open AI & ChatGPT
Lifetime access to the Artificial Intelligence, Open AI & ChatGPT course materials
Get instant access to this Artificial Intelligence, Open AI & ChatGPT course
Learn Artificial Intelligence, Open AI & ChatGPT from anywhere in the world
24/7 tutor support with the Artificial Intelligence, Open AI & ChatGPT course.
Artificial Intelligence, Open AI & ChatGPT is an entirely online, interactive lesson with voiceover audio.



Start your learning journey straightaway with our Artificial Intelligence, Open AI & ChatGPT Training!
This Artificial Intelligence's curriculum has been designed by Artificial Intelligence experts with years of Artificial Intelligence experience behind them. The Artificial Intelligence course is extremely dynamic and well-paced to help you understand Artificial Intelligence with ease. You'll discover how to master the Artificial Intelligence skill while exploring relevant and essential topics.
*** Course Curriculum ***
Course 01: Project on Deep Learning - Artificial Neural Network
Section 01: Introduction
Section 02: ANN Installation
Section 03: Data Preprocessing
Section 04: Data Encoding
Section 05: Steps to Build ANN
Section 06: Predictions and Imbalance-Learn
Certification of Artificial Intelligence, Open AI & ChatGPT
You have to complete the assignment given at the end of the Artificial Intelligence, Open AI & ChatGPT course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Artificial Intelligence, Open AI & ChatGPT exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free.
 CPD 
200 CPD hours / points  Accredited by CPD Quality Standards



 Who is this course for? 
This Artificial Intelligence, Open AI & ChatGPT course is ideal for:
Students seeking mastery in Artificial Intelligence, Open AI & ChatGPT
Professionals seeking to enhance Artificial Intelligence, Open AI & ChatGPT skills
Individuals looking for a Artificial Intelligence, Open AI & ChatGPT-related career.
Anyone passionate about Artificial Intelligence, Open AI & ChatGPT



 Requirements 
This Artificial Intelligence, Open AI & ChatGPT doesn't require prior experience and is suitable for diverse learners.



 Career path 
This Artificial Intelligence, Open AI & ChatGPT bundle will allow you to kickstart or take your career in the related sector to the next stage.



 Certificates 
CPD Accredited Digital certificate
 Digital certificate - Included 
CPD Accredited Hard copy certificate
 Hard copy certificate - Included 
If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Academy for Health and Fitness

NLP Practitioner

Artificial Intelligence, Open AI & ChatGPT

<p>If you aim to enhance your Machine Learning &amp; Artificial Intelligence skills, our comprehensive Machine Learning &amp; Artificial Intelligence course is perfect for you. Designed for success, this Machine Learning &amp; Artificial Intelligence course covers everything from basics to advanced topics in Machine Learning &amp; Artificial Intelligence.</p><p>Each lesson in this Machine Learning &amp; Artificial Intelligence course is crafted for easy understanding, enabling you to become proficient in Machine Learning &amp; Artificial Intelligence. Whether you are a beginner or looking to sharpen your existing skills, this Machine Learning &amp; Artificial Intelligence is the ideal choice.</p><p>With our Machine Learning &amp; Artificial Intelligence exclusive bundle, you will get<strong> a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. </strong></p><p><strong>Courses are Included in This Bundle:</strong></p><ul><li><strong>Course 01: </strong>Machine Learning Basics</li><li><strong>Course 02: </strong>Hands-on Machine Learning Project - Auto Image Captioning for Social Media</li><li><strong>Course 03: </strong>Machine Learning with Python Course</li><li><strong>Course 04: </strong>Project on Deep Learning - Artificial Neural Network</li><li><strong>Course 05: </strong>Data Science &amp; Machine Learning with R Training</li><li><strong>Course 06: </strong>ChatGPT for Marketing and Productivity with AI Tools</li></ul><p><strong>Why Choose Our Course?</strong></p><ul><li>FREE Machine Learning &amp; Artificial Intelligence certificate accredited</li><li>Get a free student ID card with Machine Learning &amp; Artificial Intelligence Training</li><li>Get instant access to this Machine Learning &amp; Artificial Intelligence course.</li><li>Learn Machine Learning &amp; Artificial Intelligence from anywhere in the world</li><li>Machine Learning &amp; Artificial Intelligence is affordable and simple to understand</li><li>This bundle is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Machine Learning &amp; Artificial Intelligence course materials</li><li>The Machine Learning &amp; Artificial Intelligence comes with 24/7 tutor support</li></ul><p>So enrol now in this Machine Learning &amp; Artificial Intelligence Today to advance your career!</p> <p>Start your learning journey straightaway!</p><p>This Machine Learning &amp; Artificial Intelligence's curriculum has been designed by Machine Learning &amp; Artificial Intelligence experts with years of Machine Learning &amp; Artificial Intelligence experience behind them. The Machine Learning &amp; Artificial Intelligence course is extremely dynamic and well-paced to help you understand Machine Learning &amp; Artificial Intelligence with ease. You'll discover how to master Machine Learning &amp; Artificial Intelligence skills while exploring relevant and essential topics.</p><p><strong>Assessment Process</strong></p><p>Once you have completed all the courses in the Machine Learning &amp; Artificial Intelligence bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        60 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Machine Learning &amp; Artificial Intelligence bundle is suitable for everyone.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Machine Learning &amp; Artificial Intelligence bundle will allow you to kickstart or take your career in the related sector to the next stage.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited  Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div><p>If you are an international student, you will be required to pay an additional fee of <strong>10 GBP</strong> for international delivery, and <strong>4.99 GBP</strong> for delivery within the UK, for each certificate</p></div>

                        </div>

If you aim to enhance your Machine Learning & Artificial Intelligence skills, our comprehensive Machine Learning & Artificial Intelligence course is perfect for you. Designed for success, this Machine Learning & Artificial Intelligence course covers everything from basics to advanced topics in Machine Learning & Artificial Intelligence.
Each lesson in this Machine Learning & Artificial Intelligence course is crafted for easy understanding, enabling you to become proficient in Machine Learning & Artificial Intelligence. Whether you are a beginner or looking to sharpen your existing skills, this Machine Learning & Artificial Intelligence is the ideal choice.
With our Machine Learning & Artificial Intelligence exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. 
Courses are Included in This Machine Learning & Artificial Intelligence Bundle:
Course 01: Machine Learning Basics
Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media
Course 03: Machine Learning with Python Course
Course 04: Project on Deep Learning - Artificial Neural Network
Course 05: Data Science & Machine Learning with R Training
Course 06: ChatGPT for Marketing and Productivity with AI Tools
Learning Outcomes of this Machine Learning & Artificial Intelligence
Understand the foundational concepts of machine learning and its applications.
Gain practical experience through hands-on machine learning projects and tools.
Master Python programming for effective machine learning applications and tasks.
Develop deep learning models using artificial neural networks effectively.
Apply data science techniques using R for comprehensive data analysis.
Learn to utilise AI tools for marketing and enhancing productivity in business.
Why Choose Our Course?
FREE Machine Learning & Artificial Intelligence certificate accredited
Get a free student ID card with Machine Learning & Artificial Intelligence Training
Get instant access to this Machine Learning & Artificial Intelligence course.
Learn Machine Learning & Artificial Intelligence from anywhere in the world
Machine Learning & Artificial Intelligence is affordable and simple to understand
This bundle is an entirely online, interactive lesson with voiceover audio
Lifetime access to the Machine Learning & Artificial Intelligence course materials
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Start your learning journey straightaway with Machine Learning & Artificial Intelligence!
This Machine Learning & Artificial Intelligence's curriculum has been designed by Machine Learning & Artificial Intelligence experts with years of Machine Learning & Artificial Intelligence experience behind them. The Machine Learning & Artificial Intelligence course is extremely dynamic and well-paced to help you understand Machine Learning & Artificial Intelligence with ease. You'll discover how to master Machine Learning & Artificial Intelligence skills while exploring relevant and essential topics.
*** Course Curriculum ***
Course 01: Machine Learning Basics
Section 01: Introduction
Section 02: Regression
Section 03: Predictors
Section 04: Minitab
Section 05: Regression Trees
Section 06: Binary Logistics Regression
Section 07: Classification Trees
Section 08: Data Cleaning
Section 09: Data Models
Section 10: Learning Success
Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media
Section 01: Introduction
Section 02: Building the Auto Image Captioning
Section 03: Deployment of Machine Learning App
Assessment Process of Machine Learning & Artificial Intelligence
Once you have completed all the courses in the Machine Learning & Artificial Intelligence bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
 CPD 
60 CPD hours / points  Accredited by CPD Quality Standards



 Who is this course for? 
This Machine Learning & Artificial Intelligence bundle is suitable for everyone.




 Requirements 
You will not need any prior background or expertise in this Machine Learning & Artificial Intelligence.




 Career path 
This Machine Learning & Artificial Intelligence bundle will allow you to kickstart or take your career in the related sector to the next stage.



 Certificates 
CPD Accredited Digital certificate
 Digital certificate - Included 
CPD Accredited Hard copy certificate
 Hard copy certificate - £29 
If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

Learning & Development

Managed Learning Programme (MLP)

Azure Machine Learning

ICDL (International Certification of Digital Literacy)

Machine Learning & Artificial Intelligence

OnlinePMCourses

Artificial Intelligence is here.

What does it mean for Project Management and Project Managers?
I delivered a special live briefing on 1 November 2022, to answer the questions I was asking:

🤖 What is Artificial Intelligence?

🦾 What is the role of AI in Project Management?

⚠️ What are the issues surrounding AI?

🧩 What do Project Managers need to do to prepare ourselves?

⚖️ And ended with my assessment of Artificial Intelligence in Project Management

Artificial Intelligence & Project Management

Master the Skills Now

IT Skills

IT (Information Technology)

Computing & IT

IT Literacy

Thinking about learning more about Artificial Intelligence?

The BCS Foundation Certificate in Artificial Intelligence is the advanced version of our Essentials Course Artificial Intelligence and includes more detail and insights about algebraic equations, vector calculus and schematics used in artificial intelligence and machine learning for you to learn how this new technology works.

Artificial Intelligence - BCS Foundation Certificate

IT Manager

The BCS Essentials Certificate in Artificial Intelligence teaches the general principles of Artificial Intelligence, an introduction to Machine Learning and understand it's potential implications and capabilities.

You will learn about human and artificial intelligence, the machine learning process, the different types of agents, the types of machine learning, the benefits, challenges and risks of a machine learning project, ethics in AI and the future of humans and machines in work.

This is a great course for any person or organisation who needs to gain familiarity about Artificial Intelligence and Machine Learning before they commence a project; helping ensure the project approach is correct and avoid the common and costly pitfalls of technology projects.

Artificial Intelligence - BCS Essentials Certificate

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			<p>This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.</p>
			<div><i></i> 5 Days 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><h3>Overview:</h3>
<p>Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organisations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organisations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives:</h3>
<p>In this course, you will implement AI techniques in order to solve business problems. You will:</p>
<p>• Specify a general approach to solve a given business problem that uses applied AI and ML.<br />• Collect and refine a dataset to prepare it for training and testing. <br />• Train and tune a machine learning model. <br />• Finalize a machine learning model and present the results to the appropriate audience. <br />• Build linear regression models. <br />• Build classification models. <br />• Build clustering models. <br />• Build decision trees and random forests. <br />• Build support-vector machines (SVMs). <br />• Build artificial neural networks (ANNs). <br />• Promote data privacy and ethical practices within AI and ML projects. </p>
<p> </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4><span>Lesson 1: Solving Business Problems Using AI and ML</span></h4>
<p>Topic A: Identify AI and ML Solutions for Business Problems<br />Topic B: Formulate a Machine Learning Problem<br />Topic C: Select Appropriate Tools  </p>
<h4>Lesson 2: Collecting and Refining the Dataset</h4>
<p>Topic A: Collect the Dataset<br />Topic B: Analyze the Dataset to Gain Insights<br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Prepare Data</p>
<h4>Lesson 3: Setting Up and Training a Model</h4>
<p>Topic A: Set Up a Machine Learning Model<br />Topic B: Train the Model </p>
<h4>Lesson 4: Finalizing a Model </h4>
<p>Topic A: Translate Results into Business Actions<br />Topic B: Incorporate a Model into a Long-Term Business Solution </p>
<h4>Lesson 5: Building Linear Regression Models</h4>
<p>Topic A: Build a Regression Model Using Linear Algebra<br />Topic B: Build a Regularized Regression Model Using Linear Algebra<br />Topic C: Build an Iterative Linear Regression Model </p>
<h4>Lesson 6: Building Classification Models</h4>
<p>Topic A: Train Binary Classification Models<br />Topic B: Train Multi-Class Classification Models<br />Topic C: Evaluate Classification Models<br />Topic D: Tune Classification Models</p>
<h4>Lesson 7: Building Clustering Models</h4>
<p>Topic A: Build k-Means Clustering Models<br />Topic B:  Build  Hierarchical  Clustering  Mode</p>
<h4>Lesson 8: Building Advanced Models</h4>
<p>Topic A: Build  Decision Tree Models<br />Topic B: Build Random Forest Model Lesson</p>
<h4>Lesson  9: Building Supports Vector Machines</h4>
<p>Topic A: Build SVM Models for Classification<br />Topic B:  Build SVM Models for Regression</p>
<h4>Lesson 10: Building Artificial Neural Networks</h4>
<p>Topic A: Build Multilayer Perceptrons (MLP)<br />Topic B: Build Convolutional Neural Networks (CNN)</p>
<h4>Lesson 11: Promoting Data Privacy and Ethical Practices</h4>
<p>Topic A: Protect Data Privacy<br />Topic B: Promote Ethical  Practices<br />Topic C: Establish Data Privacy and Ethics Policies</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing.</p>
<p>You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>The skills covered in this course converge on three areas-software development, applied math and statistics, and business analysis. Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.  So the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems, but is looking to develop technology skills related to machine learning.   A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. </p>
<p>This course is also designed to assist students in preparing for the Certified Artificial Intelligence (AI) Practitioner certification.</p>
<p></p>

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

Certified Artificial Intelligence Practitioner

<strong>Artificial intelligence & Javascript 2D Game Development - MinMax algorithm - "Computer vs You" Tic Tac Toe AI game</strong>
        <p>The author made this course as easy to understand as possible. The author structured it in such a way that each section will handle one major part of the course. 
Introduction: This is where we'll explain how the game works, it's various features and what we'll be using to achieve the same results. 
Module 1: We'll explain the basics of artificial intelligence and it's various terminologies. We'll put the ground work you'll need to understand the further concepts explained in this course. 
Module 2: We'll explain what the MiniMax alrogithm is and how it's implemented. We'll use pictorical and graphical representation to explain the concept with 2 detailed examples. We'll also explain the Pseudocode of the algorithm. 
Module 3: We'll explain how the MiniMax algorithm can be implemented in creating an artificial intelligence based player (computer player) for a Tic Tac Toe game. We'll explain the concept with another pictorial representation of the entire process. 
Module 4: We'll delve into Javascript and HTML5 canvas concepts that are related to the project we'll be creating. 
Module 5: We'll be teaching you how to create the bare bones of the app with HTML5. The result will be a page with all the elements we need in our game, devoid any colors or design elements. After that, we'll "beautify" our app. We'll be using CSS elements to give our game colors and styles. At the end of this module, we'll have a Tic Tac Toe web game that'll look like the final result, albeit one that is not playable yet. 
Module 6: We'll introduce a step by step algorithm that explains what we'll be doing while creating the Javascript part of our code.
Module 7: We'll be delving into Javascript & HTML5 canvas code of our game in this module, and we'll teach you how to make the game playable (let the user draw on the canvas and display the game results) in here. In this part, we'll create the necessary code to make the human player play the game on the app. 
Module 8: This would be the meat of the course. In this module, we'll be applying the MiniMax algorithm with relevant Javascript code to create an artificial intelligence that can play against the human player (the web user). 


All the code files are placed at https://github.com/PacktPublishing/Artificial-intelligence-in-Game-development---Tic-Tac-Toe-AI</p>
        <h2>What You Will Learn</h2><p>Create a complete dynamic Tic Tac Toe game app with an unbeatable AI with Javascript, HTML5 canvas and CSS<br>Improve your web app development, web game development & javascript skills<br>Improve your front end design and development skills<br>How to design the game logic for the game and implement it as code<br>Learn HTML5, CSS3 and much more while developing your game<br>Add artificial intelligent to your resume with this project as proof of your knowledge</p>
        <h2>Audience</h2><p>This course is for programmers who want to get into artificial intelligence. Web developers and programmers who want to add artificial intelligence to their websites, software, and apps. </p>
        <h2>Approach</h2><p>This course combines Artificial intelligence and Javascript and takes you into the world of 2D game development and creating 2D AI games. </p>
        <h2>Key Features</h2><p>In our course,   * -> Delve more into theories and implementation by learning what MiniMax algorithm is, and how to implement it, * -> Apply your new found knowledge to create a fully functional Artificial intelligence that can play a Tic Tac Toe game against expert human players.  * -> All the while learning, and becoming proficient in Javascript, HTML5 canvas, HTML5, CSS3, front end web development and 2D game development. </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/artificial-intelligence-in-game-development---tic-tac-toe-ai</p>
        <h2>About the Author</h2><h3>Aarthi Elumalai</h3><p>Aarthi Elumalai is the founder of DigiFisk. At DigiFisk, they aim to make programming fun and interactive. If you are tired of endless theories, you have come to the right place. Starting with beginner-level courses in any programming language or field, they guide you to advance with several real-world project-based classes to equip you to thrive in the real world. Their lectures tend to be detailed and leave nothing out, so beginners and advanced programmers alike can learn something from each course. Be sure to enjoy your journey into the fascinating world of programming with DigiFisk.	</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Artificial intelligence basic terms explanation</h4><p></p><br><h4>3. MiniMax algorithm explanation + Pseudocode</h4><p></p><br><h4>4. MiniMax for Tic Tac Toe - Explanation + Pseudocode</h4><p></p><br><h4>5. HTML and CSS code with explanation for the game</h4><p></p><br><h4>6. [OPTIONAL] JavaScript & HTML5 Canvas Basic Concepts (related to this project)</h4><p></p><br><h4>7. Step by step algorithm for the JavaScript code</h4><p></p><br><h4>8. Coding the Tic Tac Toe AI in JavaScript</h4><p></p><br><h4>9. MiniMax algorithm in JavaScript</h4><p></p>

Packt

JavaScript

Game Development

Artificial intelligence & Javascript 2D Game Development - MinMax algorithm - "Computer vs You" Tic Tac Toe AI game

Artificial Intelligence in Game Development- Tic Tac Toe AI

<p>Dive into the transformative world of Artificial Intelligence through the course titled 'Foundations of Artificial Intelligence: Building Intelligent Systems.' This comprehensive curriculum sweeps across an array of subjects, from the rudimentary introduction to AI to the intricate nuances of building AI applications. Embrace a holistic understanding of core modules like Machine Learning, Natural Language Processing, and Robotics. The content, framed meticulously, beckons those inquisitive minds eager to craft, innovate, and change the world with AI's limitless possibilities.</p>
<p>Deepen your conceptual clarity with two-part modules that delve into Knowledge Representation and Machine Learning, ensuring that learners grasp intricate details without feeling overwhelmed. With sections dedicated to Computer Vision and Deep Learning, individuals will find themselves proficiently navigating the vibrant ecosystems these technologies encompass. Finally, a spotlight on AI applications ensures that learners not only acquire theoretical wisdom but also grasp how AI integrates into real-world scenarios.</p>
<p>By the culmination of this course, participants will stand at the forefront of AI innovations, armed with the acumen to shape a future where intelligent systems intertwine seamlessly with our daily lives. This foundation lays the groundwork for boundless exploration in the Artificial Intelligence realm</p>
<p><strong>Learning Outcomes</strong></p>
<p>Upon completion of this course, participants will be able to:</p>
<ul>
<li>Gain comprehensive insights into the fundamental principles of Artificial Intelligence.</li>
<li>Understand the critical mathematical concepts underpinning AI technologies.</li>
<li>Develop proficiency in various AI knowledge representation methods.</li>
<li>Acquire a solid foundation in Machine Learning, Deep Learning, and Natural Language Processing techniques.</li>
<li>Familiarise with the applications and integrations of AI in Robotics and Computer Vision.</li>
</ul>
<h3><b>Why buy this Foundations of Artificial Intelligence: Building Intelligent Systems?</b></h3>
<ol>
<li><span>Unlimited access to the course for forever</span></li>
<li><b>Digital Certificate, Transcript, student ID</b><span> all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD </b><span>accredited qualifications after course completion</span></li>
<li><span>Receive one to one assistance on every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Foundations of Artificial Intelligence: Building Intelligent Systems</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this Foundations of Artificial Intelligence: Building Intelligent Systems course for?</b></h3>
<p>This Foundations of Artificial Intelligence: Building Intelligent Systems does not require you to have any prior qualifications or experience. You can just enrol and start learning.</p>
<ul>
<li>Aspiring AI enthusiasts keen on building a robust foundation in the subject.</li>
<li>Technologists aiming to pivot into AI-centric roles.</li>
<li>Researchers eager to enhance their knowledge spectrum in intelligent systems.</li>
<li>University students studying computer science or related disciplines, looking to supplement their academic pursuits.</li>
<li>Entrepreneurs eyeing opportunities in AI-driven ventures.</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Foundations of Artificial Intelligence: Building Intelligent Systems</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Foundations of Artificial Intelligence: Building Intelligent Systems</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong>AI Research Scientist</strong> - Average Salary Range: £60,000 - £85,000 per annum</li>
<li><strong>Machine Learning Engineer</strong> - Average Salary Range: £55,000 - £80,000 per annum</li>
<li><strong>NLP Specialist</strong> - Average Salary Range: £50,000 - £75,000 per annum</li>
<li><strong>Computer Vision Engineer</strong> - Average Salary Range: £52,000 - £77,000 per annum</li>
<li><strong>Robotics Engineer</strong> - Average Salary Range: £48,000 - £73,000 per annum</li>
<li><strong>AI Application Developer</strong> - Average Salary Range: £54,000 - £79,000 per annum</li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to Artificial Intelligence</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Artificial Intelligence</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Mathematics for AI</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mathematics for AI</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Knowledge Representation in AI - Part 1</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Knowledge Representation in AI - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Knowledge Representation in AI - Part 2</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Knowledge Representation in AI - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Machine Learning - Part 1</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Machine Learning - Part 1</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Machine Learning - Part 2</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Machine Learning - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Deep Learning</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Deep Learning</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Natural Language Processing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Natural Language Processing</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Computer Vision</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Computer Vision</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Robotics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Robotics</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Building AI Applications</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building AI Applications</td>
					<td> </td>
					<td><span><i></i> 00:24:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Foundations of Artificial Intelligence: Building Intelligent Systems


MBA – Artificial Intelligence.
Partner with IU International University of Applied Science  Germany
Lead the way to the future, and take your place in a field that’s changing the world. As Artificial Intelligence plays an ever-growing role in our everyday lives, experienced professionals with a clear managerial mind-set have the opportunity to shape tomorrow’s businesses.
With an MBA with a specialisation in Artificial Intelligence, you’ll lead teams to the frontlines of technological development, all while keeping track of profitability and economic sustainability.

Smart College

Who can apply for this MBA – Artificial Intelligence program?
Anyone with an undergraduate degree with a minimum of 50% marks
Minimum of one year of professional experience
Professionals looking to grow their career with a Master degree in Management
Professionals wishing to make a transition to mid-level and higher positions

MBA – Artificial Intelligence 

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><b data-stringify-type="bold" fr-original-style=" color: rgb(209, 210, 211);" style="color: rgb(209, 210, 211); box-sizing: border-box;" id="isPasted"><span fr-original-style="color: rgb(0, 0, 0);" style="color: rgb(0, 0, 0); box-sizing: border-box;">Welcome to Artificial Intelligence Foundations Course. In this course, you&#39;ll learn:<br fr-original-style="" style="box-sizing: border-box;"></span></b></p><ol style="color: rgb(209, 213, 219); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(209, 213, 219);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Introduction to Artificial Intelligence:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the history, evolution, and various branches of AI.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the ethical implications and societal impact of AI.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Gain insights into the current state and future trends of AI technology.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Mathematics for AI:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Develop a strong mathematical foundation essential for AI applications.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Cover concepts such as linear algebra, calculus, and probability theory.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn how to apply mathematical principles to solve AI problems.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Knowledge Representation in AI - Part 1:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Examine different methods for representing knowledge in AI systems.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore symbolic representation and logical reasoning techniques.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Knowledge Representation in AI - Part 2:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Dive deeper into knowledge representation techniques.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore ontologies, semantic networks, and other advanced topics.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Machine Learning - Part 1:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Introduce the basics of machine learning algorithms.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Cover supervised and unsupervised learning, and regression.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Machine Learning - Part 2:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore advanced machine learning concepts.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Discuss ensemble methods, dimensionality reduction, and model evaluation.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Deep Learning:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the fundamentals of neural networks.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore deep learning architectures, including convolutional and recurrent neural networks.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Natural Language Processing:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Study the processing and understanding of human language by machines.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Cover topics such as text analysis, sentiment analysis, and language generation.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Computer Vision:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the principles and applications of computer vision.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Discuss image recognition, object detection, and image generation.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Robotics:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Introduce the integration of AI in robotics.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore topics such as robot perception, motion planning, and control.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Building AI Applications:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn the practical aspects of developing AI applications.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Discuss real-world case studies and hands-on projects.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the challenges and considerations in deploying AI solutions.</li></ul></li></ol>

John Academy

Natural Language Processing (NLP)

Robotics

Computer Vision

Data Science

Unsupervised Machine Learning

Explore the world of Artificial Intelligence with our comprehensive Foundations Course. From understanding the basics of AI and essential mathematical principles to delving into advanced topics like Deep Learning, Natural Language Processing, and Robotics – this course equips you with the knowledge and skills needed to navigate the dynamic landscape of AI. Whether you're a student, professional, or enthusiast, join us on a journey to build a solid foundation in AI and develop practical applications that shape the future. Enroll now and empower yourself to contribute to the exciting field of Artificial Intelligence.

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