Name: PL-200T00 Microsoft Power Platform Functional Consultant
Price: 2975 GBP
Availability: InStock

<p>Become a python programmer now at a minimal cost with endorsed certification. The Python course is endorsed by QLS with extra courses in a bundle.</p><p>It doesn't matter if you are a Python programmer or not, a data scientist or not, or even if you can write code or not. This course will guide you through all the necessary topics that are required to become a successful python programmer.</p><p>In today's world maybe you are seeing our courses in spite of the Artificial Intelligence existence and Python is the language that made it easier to write code for Machine Learning, Artificial Intelligence or Neural Networks. In the field of data science python is the tool mostly used.</p><p>If you look into our course contents, it's designed to walk you through basic to advanced topics. Topics that are required to become a python programmer to data science beginning stage. It's not over yet. There is some career guidance also for your future career path.</p><p>We're not leaving you after the guidance also. We'll be providing you with an assessment system that can assist you to judge your python skills.</p><p>Last but not least, the QLS (The Quality Endorsed Scheme) endorsed certificate will be awarded upon successful completion.</p><p>We're welcoming you to take our courses and experience our interactive quizzes, adaptive teaching videos, and personalised learning plans that make us different from other platforms.</p><p>Enrol now today.</p><p>This bundle package includes:</p><ul><li>Python Programming: Beginner To Expert - with endorsed certificate</li><li>5 additional CPD accredited courses -<br /><ol><li>Easy to Advanced Data Structures</li><li>Mastering SQL Programming</li><li>Java Programming: Beginners to Advanced</li><li>SAS Programming Basic to Advanced</li><li>Getting Started with Julia Programming</li></ol></li></ul><p><strong>Why People Enrol This Course from One Education:</strong></p><ul><li>Receive an Quality Licence Scheme-endorsed certificate upon successful completion</li><li>5 additional CPD accredited courses to enrich your knowledge and skills</li><li>Learning materials of our course contains engaging voiceover and visual elements for your comfort</li><li>Get 24/7 access to all course content for a full year</li><li>Complete the course at your own pace</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li><li>Efficient assessments and instant results upon completion of our course</li></ul><p>In this Python course journey will start from the very basics where you'll get the initial knowledge about python and its run time environments. After mastering the basic ideas our course will move on to the data types, iterations, conditional statements, basic data structures and algorithms and their understandings as well. Meanwhile, you're growing your capability to the next level and the course will pivot you to some advanced topics such as sets, tuples lists etc. This you'll recognise some advanced data structures, algorithms and Object Oriented concepts as well. And yes, a clear explanation will be the finishing touch. These data structures are often used in the field of Data Science, Artificial Intelligence and Machine Learning.</p><p>The course will end after providing you with some career suggestions. Please consider the below listings as our course contents and extra courses.</p><p><strong>Course Curriculum:</strong></p><p>Here is a curriculum breakdown of the Python Programming: Beginner To Expert:</p><p><strong>Module 01: Introduction to Python Programming from A-Z</strong></p><ul><li>Intro To Python Section Overview</li><li>What is Python Programming</li><li>Who is This Course For</li></ul><p><strong>Module 02: Getting Familiar with Python</strong></p><ul><li>Getting Familiar with Python Section Overview</li><li>Installing on Windows</li><li>Anaconda and Jupyter Notebooks Part 1</li><li>Anaconda and Jupyter Notebooks Part 2</li><li>Comments</li><li>Line Structure</li><li>Line Structure Exercise</li><li>Joining Lines</li><li>Multiple Statements on a Single Line</li><li>Indentation</li></ul><p><strong>Module 03: Basic Data Types</strong></p><ul><li>Basic Data Types Section Overview</li><li>String Overview</li><li>String Manipulation</li><li>String Indexing</li><li>String Slicing</li><li>Printing</li><li>Integers and Floats</li><li>Booleans</li><li>Mini Project 1 : Letter Counter</li></ul><p><strong>Module 04: Python Operators</strong></p><ul><li>Comparison Operators</li><li>Arithmetic Operators</li><li>Assignment Operators</li><li>Logical Operators</li><li>Identity Operators</li><li>Membership Operators</li><li>Bitwise Operators</li></ul><p><strong>Module 05: Advanced Data Types</strong></p><ul><li>Advanced Data Types Section Overview</li><li>Sets</li><li>List Overview</li><li>List Slicing and Indexing</li><li>Tuples</li><li>Dictionaries</li><li>When to use each one?</li><li>Compound Data Types</li></ul><p><strong>Module 06: Control Flow Part 1</strong></p><ul><li>Control Flow Part 1 Section Overview</li><li>Intro to Control Flow</li><li>Basic Conditional Statements</li><li>More Conditional Statements</li><li>For Loops</li><li>While Loops</li></ul><p><strong>Module 07: Control Flow Part 2</strong></p><ul><li>Control Flow Part 2 Section Overview</li><li>Break Statements</li><li>Continue Statements</li><li>Zip Function</li><li>Enumerate Function</li><li>List Comprehension</li></ul><p><strong>Module 08: Python Functions</strong></p><ul><li>Functions Section Overview</li><li>Intro to Functions</li><li>Defining Functions</li><li>Variable Scope</li><li>Doc Strings</li></ul><p><strong>Module 09: User Input and Error Handling</strong></p><ul><li>User Input and Error Handling Section Overview</li><li>Introduction to error handling</li><li>User Input</li><li>Syntax Errors</li><li>Exceptions</li><li>Handling Exceptions Part 1</li><li>Handling Exceptions Part 2</li></ul><p><strong>Module 10: Python Advanced Functions</strong></p><ul><li>Advanced Functions Section Overview</li><li>Lambda Functions</li><li>Functions args and kwargs</li><li>Iterators</li><li>Generators and Yield</li><li>Map Function</li><li>Filter Function</li></ul><p><strong>Module 11: Python Scripting and Libraries</strong></p><ul><li>Scripting and Libraries Section Overview</li><li>What is a script</li><li>What is an IDE</li><li>What is a text editor?</li><li>From Jupyter Notebook to VScode Part 1</li><li>From Jupyter Notebook to VScode Part 2</li><li>Importing Scripts</li><li>Standard Libraries</li><li>Third Party Libraries</li></ul><p><strong>Module 12: NumPy</strong></p><ul><li>NumPy Section Overview</li><li>Intro to NumPy</li><li>Why use NumPy?</li><li>NumPy Arrays</li><li>Reshaping, Accessing, and Modifying</li><li>Slicing and Copying</li><li>Inserting, Appending, and Deleting</li><li>Array Logical Indexing</li><li>Broadcasting</li></ul><p><strong>Module 13: Pandas</strong></p><ul><li>Intro to Pandas</li><li>Pandas Series</li><li>Pandas Series Manipulation</li><li>Pandas DataFrame</li><li>Pandas DataFrame Manipulation</li><li>Dealing with Missing Values</li></ul><p><strong>Module 14: Introduction to OOP</strong></p><ul><li>Functional vs OOP</li><li>OOP Key Definitions</li><li>Create your First Class</li><li>How to Create and Use Objects</li><li>How to Modify Attributes</li></ul><p><strong>Module 15: Advanced OOP</strong></p><ul><li>Decorators</li><li>Property Decorator</li><li>Class Method Decorator</li><li>Static Methods</li><li>Inheritance from A to Z</li></ul><p><strong>Module 16: Starting a Career in Python</strong></p><ul><li>Career Section Overview</li><li>Getting Started with Freelancing</li><li>Building A Brand</li><li>Personal Branding</li><li>Importance of Having Website/Blog</li><li>Do's and Don'ts of Networking</li><li>Top Freelance Websites</li><li>Creating A Developer Resume</li></ul><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the course, learners will get an endorsed certificate (included with the course) delivered right at their doorstep by post, without paying a single penny! Note that learners residing outside the UK have to pay a £10 postage charge.</p><p><strong>For Additional Courses</strong></p><p>For the additional Quality Licence Scheme endorsed certificates from the additional courses, you have to pay the fees based on the level of each course:</p><ul><li>No Level- £29</li><li>Level 1 - £29</li><li>Level 2 - £59</li><li>Level 3 - £69</li><li>Level 4 - £79</li><li>Level 5 - £99</li><li>Level 6 - £109</li><li>Level 7 - £119</li></ul><p><strong>CPD Accredited Certification from One Education</strong></p><p>After successfully completing the courses under this course, you will also qualify for CPD Accredited Certificates for each of the courses. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post at £15.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Just want to start a programming career</li><li>Working with data science but wants to start a journey in python programming</li><li>Individuals who wants to build their career in the python programming industry</li><li>Individuals from any age and any occupations</li></ul>
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        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for the course, with enrollment open to anyone!<strong> Anyone and everyone</strong> with a knack for learning can enrol this course without any hesitation.</p><p>Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the course at your own pace.</p><p>All students must have a passion for learning and literacy, as well as being over the age of 16.</p>
                        </div><h2>
        
        <div>Career path</div>
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                            <p>Python is among the most famous programming languages. Widely used in different fields of the IT industry. Data science, AI, and ML are putting their footprint in every sector. So, individuals who are capable of python would be standing straight in front of these huge opportunities.</p>
                        </div>

One Education

Python Level 7 QLS Endorsed Course

General Admission

School of Business and Technology London

QUALIFI Level 3 Diploma in Data Science

<strong>This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.</strong>
        <p>If you work in any functional areas of data analysis, machine learning, and artificial intelligence, you will want to be familiar with or master Pandas. Pandas is a popular Python library used for data analysis and manipulation, commonly used with data analysis, artificial intelligence, and machine learning. Pandas enables quick and efficient data manipulation, aggregation, pivoting, and flexible time series.

This course will introduce you to the basics of data analysis using the Pandas library. You will learn to work with two primary data structures in Pandas, Series and Data Frame. Then, we will take a look at how to read data from a file and explore input data using indexing and filtering, at which point you will be ready for data preprocessing. Next, we will focus on handling missing values and duplicate rows and transforming data into a more efficient format. You will also discover how to manipulate data and data processing. Finally, we will dive into creating simple plots to visualize the data.

By the end of this course, you can use OOPs paradigm to create class hierarchies with the OOP design process. You can design and implement Python programs for complex issues and make good use of the features like classes and inheritance.

All resources are available at: https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>What You Will Learn</h2><p>Learn basic data analysis with Pandas' open-source Python library<br>Use the two primary Pandas data structures, Series and DataFrame<br>Process varied data types and manipulate data with string function<br>Organize input with index and filter, preprocess data with Pandas<br>Format and process different kinds of data most efficiently<br>Manipulate, aggregate, and pivot data flexibly and efficiently</p>
        <h2>Audience</h2><p>This course targets beginner Python developers or those who want to learn and use the Pandas library for Python. Data analysts, project management analysts, and those working in artificial intelligence, machine learning, or data science can benefit from this course immensely. For those managers and executives that handle a lot of data and create analytic reporting material, this course could help them as well in their data science projects. This course assumes no previous experience in Pandas, but a fundamental understanding of basic Python syntax is needed since it is built for Python.</p>
        <h2>Approach</h2><p>The course offers interactive onscreen demonstrations of the Pandas library, its installation, and setup, getting familiar with the usage and manipulation of data with examples and explanations. It is loaded with quizzes and project examples that can be attempted as you learn. It offers individual videos and course files to follow along.</p>
        <h2>Key Features</h2><p>Learn to view data imported from an external source * Understand data analysis basics with Pandas and data structures, Series and DataFrame * Explore data manipulation and processing using Pandas and create simple plots to visualize data</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/pandas-for-Beginners---A-Quick-Guide</p>
        <h2>About the Author</h2><h3>Simon Sez IT</h3><p>Simon Sez IT has offered technical courses for individuals, small businesses, and Fortune 500 companies since 2008, with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8,000 video tutorials on a range of software programs.

Simon Sez IT ensures stress-free eLearning and enhanced employee productivity-whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Pandas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas</p><p style='margin: 0'>This video will look at an introductory overview of the Pandas course and what we will be learning about. It also takes us through an outline of the features and capabilities of Pandas and their use.</p></td></tr><tr><td style='padding: 15px;'><p>2. Pandas Installation</p><p style='margin: 0'>This video demonstrates how to install Pandas and discusses everything that is needed for starting to use Pandas. It takes us through installing Python and the Pandas library and shows how to install Jupyter notebook.</p></td></tr></tbody></table><br><h4>2. Pandas Objects</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Pandas Series</p><p style='margin: 0'>In this video, we will look at an introductory outline of the Pandas series and NumPy arrays, which makes the code fast and optimized.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Pandas Data Frame</p><p style='margin: 0'>In this lesson, you will learn about the second primary data structure called Pandas Data Frame, which is a tabular data structure. We will understand the data frame and its operability. We will also learn about the Pandas dictionary.</p></td></tr><tr><td style='padding: 15px;'><p>3. Reading Data from Files</p><p style='margin: 0'>After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting the datasets. The video also explains headers and adding values from the datasets to a data frame.</p></td></tr><tr><td style='padding: 15px;'><p>4. Selection and Filtering Pandas</p><p style='margin: 0'>In this video, you will learn about extracting part of the data frame using the selection operation. We will also look at accessing one or more columns using "[] and iloc and loc." We will look at how to select a part of the data frame in detail.</p></td></tr></tbody></table><br><h4>3. Data Preprocessing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Handling Missing Values and Duplicates</p><p style='margin: 0'>During the data analysis, significant time is spent on data cleaning and transformation. Pandas provides the tool to handle such data. In this video, you will learn about handling missing data and duplicates. You will learn to eliminate rows with missing values and fill missing values and look at duplicates similarly.</p></td></tr><tr><td style='padding: 15px;'><p>2. DataFrame Manipulation</p><p style='margin: 0'>Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Transformation</p><p style='margin: 0'>In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature.</p></td></tr></tbody></table><br><h4>4. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Processing Numerical Data for Pandas</p><p style='margin: 0'>In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and standard deviation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing String Format</p><p style='margin: 0'>In this lesson, we will continue processing data, but this time with string format data. String features have their operations. We will look at all the powerful tools on Pandas for handling string data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Processing-Date/Time Format</p><p style='margin: 0'>Here, we will understand how to process and manipulate date/time data values. We will learn the most common and practical methods to manipulate and analyze date/time data.</p></td></tr></tbody></table><br><h4>5. Data Processing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Visualize your Data</p><p style='margin: 0'>In this video, you will learn about data visualization. We will look at the basic and simple plots like the scatter plot, line plot, histogram, bar chart, and pie chart.</p></td></tr></tbody></table>

Packt

Data Analysis

Python

Pandas

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Pandas for Beginners - A Quick Guide

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<h2>About this Training Course</h2>
<p>More energy companies today are setting ambitious net-zero targets and are expected to pour billions into the voluntary carbon offset market by the end of this decade. To get to net zero emissions, companies will need to balance emissions with nature and technology-based offsets. Markets are the best tool for connecting carbon sources and sinks. Many countries will not have enough supply inside their borders and will need to co-operate with those who have extra greenhouse gas removal potential.</p>
<p>The energy industry is in search of effective climate tools as pressure mounts from investors and consumers for more progress on fighting rising emissions. Corporations fighting to cut their carbon footprint have for years focused on internal reduction measures. Many are now adding to that effort by turning to carbon credits, a process made easier as verification and registration tools mature.</p>
<p>One particular category of carbon offsets leads the way: high-quality, nature-based carbon credits. These represent the largest category of carbon credit projects in the voluntary carbon market, comprising nearly half of credits issued. Public concern about this practice focused on the additionality, leakage, and integrity of carbon offsets that are created through reforestation, land preservation, carbon capture and other projects.</p>
<p>Lack of standardization and government regulation has also increased uncertainty for all participants in carbon markets, creating risks for developers of credit-generating projects and offset purchasers. Demand for higher-quality offsets will value projects that were subjected to due diligence and rely upon reputable third-party verification. Companies purchasing offsets generated by permanent and quantifiable projects will therefore be in the best position moving forward.</p>
<p>In this highly interactive training course, your course instructor will guide you through the latest developments and best procurement practices to successfully operate in the voluntary carbon market.</p>
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Training Objectives 

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<p><span>At the end of this course, the participants will be able to:</span></p>
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<li><span>Discover the current state of the carbon economy</span></li>
<li><span>Gain insights into the voluntary carbon market</span></li>
<li><span>Learn about the different type carbon credits available</span></li>
<li><span>Examine how companies can reach net zero target by using carbon offsets</span></li>
<li><span>Uncover best practices in carbon credit procurement strategy</span></li>
<li><span>Learn the pricing dynamics carbon credits</span></li>
<li><span>Examine how to identify and ensure high quality credits</span></li>
<li><span>Obtain key learning from flawed carbon offset projects</span></li>
</ul>
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Target Audience 

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<p><span>This course is intended for:</span></p>
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<li><span>Energy transition team leaders</span></li>
<li><span>Carbon credit procurement professionals</span></li>
<li><span>ESG strategy team leaders</span></li>
<li><span>Finance and accounting professionals</span></li>
<li><span>Low carbon business analysts or economists</span></li>
<li><span>Corporate business sustainability professionals</span></li>
<li><span>Legal, compliance and regulatory professionals</span></li>
<li><span>Carbon trading professionals</span></li>
</ul>
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Course Level 

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<li>Intermediate</li>
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Trainer

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<p>Your expert course leader is a skilled and accomplished professional with over 25 years of extensive C-level experience in the energy markets worldwide. He has a strong expertise in all the aspects of (energy) commodity markets, international sales, marketing of services, derivatives trading, staff training and risk management within dynamic and high-pressure environments.</p>
<p>He received a Master's degree in Law from the University of Utrecht in 1987. He started his career at the NLKKAS, the Clearing House of the Commodity Futures Exchange in Amsterdam. After working for the NLKKAS for five years, he was appointed as Member of the Management Board of the Agricultural Futures Exchange (ATA) in Amsterdam at the age of 31. While working for the Clearing House and exchange, he became an expert in all the aspects of trading and risk management of commodities. In 1997, he founded his own specialist-consulting firm that provides strategic advice about (energy) commodity markets, trading and risk management.</p>
<p>He has advised government agencies such as the European Commission, investment banks, major utilities and commodity trading companies and various energy exchanges and market places in Europe, CEE countries, North America and Asia. Some of the issues he has advised on are the development and implementation of a Risk Management Framework, investment strategies, trading and hedging strategies, initiation of Power Exchanges (APX) and other trading platforms, the set-up of (OTC) Clearing facilities, and feasibility and market studies like for the Oil, LNG and the Carbon Market. The latest additions are (Corporate) PPAs and Artificial Intelligence for energy firms.</p>
<p>He has given numerous seminars, workshops and (in-house) training sessions about both the physical and financial trading and risk management of commodity and carbon products. The courses have been given to companies all over the world, in countries like Japan, Singapore, Thailand, United Kingdom, Germany, Poland, Slovenia, Czech Republic, Malaysia, China, India, Belgium and the Netherlands.</p>
<p>He has published several articles in specialist magazines such as Commodities Now and Energy Risk and <strong>he is the co-author of a book called A Guide to Emissions Trading: Risk Management and Business Implications published by Risk Books in 2004.</strong></p>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' 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 />
Request for further information post training support and fees applicable</p>
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Accreditions And Affliations

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EnergyEdge - Training for a Sustainable Energy Future

Renewable Energy

Oil & Gas

Best Practices Procurement for Carbon Offsets in the Energy Industry

Team of 10, pp

Normal Fee, pp

<p>The digital world knows no borders. Imagine crafting marketing campaigns that resonate across continents and cultures. This power-packed bundle equips you with the cutting-edge skills and strategies to conquer the global digital marketing landscape.</p><p>What awaits you:</p><ul><li>15 in-depth courses: Dive into essential areas like SEO, social media marketing, influencer marketing, email marketing, and video marketing, all with a global perspective.</li><li>Master the art of growth hacking: Discover innovative techniques to attract customers and skyrocket your online brand presence.</li><li>Become an AI whiz: Learn how to integrate Artificial Intelligence into your marketing strategies for enhanced efficiency and results.</li><li>Embrace the power of e-commerce: Set up and optimise an online store that caters to international customers.</li><li>Build a global audience: Explore the nuances of social media marketing across different platforms and cultures.</li></ul><p>This Global Digital Marketing Bundle empowers you to become a digital marketing force to be reckoned with on a global scale. Craft campaigns that transcend borders, build a loyal international customer base, and watch your brand flourish in the vast digital landscape. Enroll today and unleash your global digital marketing potential!</p><p><strong>Course 01: Digital Marketing - Growth Hacking Techniques - Online Course: </strong></p><p>Discover unconventional and data-driven strategies to skyrocket your online presence and customer acquisition.</p><p><strong>Course 02: Advanced Diploma in Digital Marketing: </strong></p><p>Deep dive into the comprehensive world of digital marketing, mastering core principles and advanced techniques across various channels.</p><p><strong>Course 03: Digital Marketing: </strong></p><p>Grasp the fundamentals of digital marketing, equipping yourself with the essential skills to launch and manage successful online campaigns.</p><p><strong>Course 04: Digital Marketing Starting an online E-Commerce Store:</strong> </p><p>Learn how to leverage digital marketing strategies specifically for your e-commerce store, attracting customers and boosting international sales.</p><p><strong>Course 05: Digital Marketing Masterclass:</strong> </p><p>Incorporating AI into Your Online Business: Unleash the power of Artificial Intelligence in marketing. This course equips you to integrate AI for smarter campaigns, personalised experiences, and optimised results.</p><p><strong>Course 06: Social Media Influencer: </strong></p><p>Explore the influencer marketing landscape, understand how to collaborate with influencers, and cultivate your own social media presence to become a captivating brand ambassador.</p><p><strong>Course 07: Famebit Influencer Marketing: </strong></p><p>Master the art of influencer marketing using Famebit, a leading platform that connects brands with relevant influencers for impactful collaborations.</p><p><strong>Course 08: Email Marketing for Beginners: </strong></p><p>Craft captivating email campaigns that resonate with a global audience. Learn best practices and automation tools to streamline your email marketing efforts.</p><p><strong>Course 09: Instagram Marketing:</strong> </p><p>A Step-by-Step to 10,000 Followers: This course unlocks the secrets to Instagram success. Develop engaging content strategies, attract followers, and watch your brand flourish on this influential platform.</p><p><strong>Course 10: Lead Generation and Attraction Marketing Training:</strong> </p><p>Master the art of attracting potential customers. Learn effective lead generation strategies to build a robust pipeline for your business.</p><p><strong>Course 11: Affiliate Marketing:</strong> </p><p>Discover how to leverage affiliate marketing programs to generate additional income streams by promoting other companies' products or services.</p><p><strong>Course 12: Youtube Marketing and Analytics Training: </strong></p><p>Create compelling YouTube content that grabs international audiences and learn valuable analytics techniques to optimise your channel for maximum reach.</p><p><strong>Course 13: Facebook Marketing: </strong></p><p>Harness the power of Facebook marketing to reach a global audience. This course equips you with data-driven strategies for targeted campaigns and brand engagement.</p><p><strong>Course 14: TikTok Marketing: </strong></p><p>Learn the ins and outs of marketing on TikTok, a rapidly growing platform. Develop engaging content strategies to capture the attention of a younger demographic.</p><p><strong>Course 15: Starting a Profitable Video Marketing Agency:</strong> </p><p>Dive deep into the world of video marketing and its potential for brand storytelling. Gain the skills and knowledge to launch and run your own successful video marketing agency.</p><h2>
        
        <div>CPD</div>
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                                        30 CPD hours / points
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                                            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 digital marketing professionals</li><li>Business owners seeking to expand their online presence globally</li><li>Marketing professionals looking to refine their skillset for international markets</li><li>Content creators and social media enthusiasts</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">
                            <ul><li>Global digital marketing manager</li><li>Social media marketing specialist</li><li>E-commerce marketing specialist</li><li>Content marketing manager</li><li>Influencer marketing manager</li><li>Founder of a digital marketing agency</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>

Global Digital Marketing Course

<strong>Are you fascinated by the possibilities that AI holds for transforming the education sector? If so, you have come to the right place. This course delves into the captivating world of AI and discovers how it can revolutionize education. If you are seeking to expand your horizons or are eager to explore the intersections of AI and education, this course provides an exciting and tailor-made learning experience.</strong>
        <p>The course unlocks the potential of AI with ChatGPT, a powerful language model that enables human-like conversations and opens new possibilities for various applications.

We will begin by exploring ChatGPT, diving deep into its functionalities and features. You will gain practical experience in navigating the ChatGPT interface. Additionally, we will address important aspects such as safety features and ethical considerations when utilizing ChatGPT in an educational context.

Then, we will move to the powerful tool called SlidesAI. This cutting-edge tool utilizes AI to revolutionize the creation of visually appealing presentations.

Next, we will delve into Education Copilot, where you will discover new ways to streamline your teaching practices, facilitate student engagement, and enhance the overall learning experience.

We will then shift our focus to PrepAI. You will learn how to utilize PrepAI to effortlessly create customized quizzes and tests, saving time while promoting active learning among your students.

Following that, we will take a look at Pictory. You will explore its various features and learn how to leverage Pictory to enhance your instructional materials, engage students visually, and promote meaningful learning experiences.

Tome will be our next stop on this exciting journey. This platform, integrated with ChatGPT, allows for seamless knowledge sharing and collaboration.

Finally, we will explore the user-friendly Wisdolia tool and guide you through the process of adding it to your Chrome extension.

By the end of this course, you will have the skills and knowledge you need to confidently incorporate AI into your teaching practice and enhance your students' learning experience like never before.</p>
        <h2>What You Will Learn</h2><p>Learn and explore the capabilities of ChatGPT from scratch<br>Master SlidesAI tool for creating visually stunning presentations<br>Harness the potential of Education Copilot<br>Create customized quizzes and tests with the PrepAI tool<br>Utilize Pictory for impactful visual content<br>Foster knowledge sharing with Tome</p>
        <h2>Audience</h2><p>The target audience for this course primarily includes teachers and educators at any level who are keen on integrating AI into their teaching practice. This course aims to provide them with the necessary knowledge and skills to effectively utilize AI tools in the educational setting.<br><br>To fully benefit from this course, you should have access to a computer or mobile device with internet connectivity. Additionally, basic computer literacy and proficiency in using educational technology are expected, ensuring learners can engage with the course materials effectively.</p>
        <h2>Approach</h2><p>This course adopts a hands-on, focused, and practical approach, providing learners with the opportunity to actively engage with AI tools, specifically focusing on ChatGPT and its integration with various educational applications. Through a combination of demonstrations and interactive exercises, learners will gain both theoretical understanding and practical skills to effectively leverage AI in their teaching practice.</p>
        <h2>Key Features</h2><p>Flexible and accessible course to improve prompt writing skills of educators of all levels * Explore to seamlessly integrate AI tools and resources into your daily classroom tasks and activities * Acquire valuable insights, practical skills, and effective strategies to harness the power of AI in education</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/AI-for-Teachers-with-ChatGPT</p>
        <h2>About the Author</h2><h3>Allison McCrary</h3><p>Allison (Alli) McCrary is a seasoned educator and instructional tech coach who is dedicated to integrating technology into education. With over two decades of experience in the field, she has honed her skills in teacher and staff professional development, video production and editing, leadership committees, new app adoption, and parent outreach.

After holding several leadership positions, Alli currently serves as an instructional technology coach for the Waltham Public Schools in Massachusetts, where she coaches faculty and staff and supports district-wide technology initiatives. Prior to her work in education, Alli worked as a video and website producer for WGBH, Channel 2 Boston, and as a video and television producer for MCET, Massachusetts Corporation for Educational Telecommunications.

Alli earned an M.Ed. from Cambridge College and completed the Educational Technology Licensure Program at Lesley University. She also holds a B.A. in mass communication, and television production, from Franklin Pierce University.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Course</h4><p></p><br><h4>2. SlidesIO and ChatGPT</h4><p></p><br><h4>3. Education CoPilot and ChatGPT</h4><p></p><br><h4>4. Prep AI - Quiz and Test Generator</h4><p></p><br><h4>5. Pictory</h4><p></p><br><h4>6. Tome</h4><p></p><br><h4>7. Wisdolia</h4><p></p>

ChatGPT

Are you fascinated by the possibilities that AI holds for transforming the education sector? If so, you have come to the right place. This course delves into the captivating world of AI and discovers how it can revolutionize education. If you are seeking to expand your horizons or are eager to explore the intersections of AI and education, this course provides an exciting and tailor-made learning experience.

AI for Teachers with ChatGPT

Keras

TensorFlow

Deep Learning

You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.

Deep Learning with Real-World Projects

<p>Machine learning is a vital aspect of data science, and it is the fundamental building block of artificial intelligence. This course is designed to help you master the basics of machine learning by taking you through ten comprehensive modules.</p> <p><strong>Learning outcomes:</strong></p> <ul> <li>Understand the basic principles of machine learning and its significance in today's world.</li><li>Learn how to use Minitab for data analysis and data cleaning.</li><li>Understand how regression trees and classification trees work and how to apply them.</li><li>Understand binary logistic regression and its applications.</li><li>Understand data modelling and how to use different predictors.</li><li>Learn how to evaluate and improve the performance of machine learning models.</li></ul><p>The Machine Learning Basics course is designed to help individuals develop a fundamental understanding of machine learning. In this course, you will learn about the basics of machine learning, including regression, predictors, data cleaning, and data models. Additionally, you will learn how to use Minitab for data analysis and how to apply binary logistic regression, regression trees, and classification trees. The course includes ten comprehensive modules that will help you develop the skills you need to become a machine learning expert.</p> <p>This course is for anyone who wants to learn the basics of machine learning, including students, data analysts, and business professionals. By the end of the course, you will have a deep understanding of machine learning principles, including how to apply machine learning algorithms to solve real-world problems.</p> <p><strong>Certification</strong></p> <p>Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations.</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>Students who want to learn about machine learning.</li><li>Data analysts who want to enhance their skills.</li><li>Business professionals who want to understand machine learning.</li><li>Anyone who wants to develop a fundamental understanding of machine learning.</li></ul> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p><strong>Career paths related to this industry are:</strong></p> <ul> <li>Data analyst: £20,000 - £50,000 per year</li><li>Machine learning engineer: £30,000 - £90,000 per year</li><li>Data scientist: £35,000 - £80,000 per year</li><li>Business intelligence analyst: £25,000 - £55,000 per year</li><li>Artificial intelligence (AI) specialist: £45,000 - £100,000 per year</li><li>Software engineer: £25,000 - £70,000 per year</li></ul> 
                        </div>

NextGen Learning

Learning & Development

Managed Learning Programme (MLP)

Machine Learning (ML)

Learning To Learn

Trainers Course

Azure Machine Learning

Explore the World of Machine Learning with Basics Course

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p>Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion.</p>
<p>Understanding of these important production concepts is a must have to exploit the existing assets profitably.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li>Hands-on usage of <strong>SNAP Software</strong> to solve gas-lift exercises</li>
<li>Discussion on <strong>digital oil field</strong></li>
<li><strong>Machine learning</strong> <strong>applications</strong> in gas-lift optimization</li>
</ul>
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</section>
<section>
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Training Objectives 

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<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses</li>
<li>Easily recognize the different components from downhole to the surface and their basic structural and operational features</li>
<li>Design and analyze different components using appropriate software tools</li>
<li>Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation</li>
<li>Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization</li>
<li>Learn about use cases of Machine learning and artificial intelligence in the artificial lift</li>
</ul>
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Target Audience 

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<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Production, reservoir, completion, drilling and facilities engineers, analysts, and operators</li>
<li>Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course.</li>
</ul>
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</div>
</div>
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Course Level 

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<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
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Training Methods 

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<p><span>The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization.</span></p>
<p><em><span>Course Duration: 5 days in total (35 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts.</li>
<li>Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software.</li>
</ul>
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Trainer

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<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' 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 />
Request for further information post training support and fees applicable</p>
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Accreditions And Affliations

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</section>

Artificial Lift and Real-Time Production Optimization in Digital Oilfield

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p></p><p>A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations.</p><p></p><p></p><p>This course will teach you to use Microsoft Power Platform solutions to simplify, automate, and empower business processes for organizations in the role of a Functional Consultant. A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course may contain a 1-day Applied Workshop. This workshop will allow you to practice your Functional Consultant skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows.</p><p></p>Prerequisites<p></p><p></p><ul> <li>Experience as an IT professional or student</li> <li>Working knowledge of Microsoft Power Platform and its key components</li> <li>Knowledge of Microsoft Dataverse (or general data modeling) and security concepts</li></ul><p></p><p></p></div><div id="course-pills-2"><h3>1 - Describe the business value of the Microsoft Power Platform</h3> <ul> <li>Explore Microsoft Power Platform</li> <li>Describe the business value of the Power Platform</li> <li>Explore connectors and Microsoft Dataverse</li> <li>Describe how Power Platform works with Microsoft 365 apps and services</li> <li>Explore how Power Platform works with Microsoft Teams</li> <li>Describe how Power Platform works  with Microsoft Dynamics 365 apps</li> <li>Describe how Power Platform solutions consume Microsoft Azure services </li> <li>Explore how Microsoft Power Platform apps work together </li> <li>Use Artificial Intelligence to increase productivity</li> </ul> <h3>2 - Core components of Power Pages</h3> <ul> <li>Get started with Power Pages</li> <li>Core tools and components of Power Pages</li> <li>Overview of Power Pages security</li> <li>Overview of Power Pages extensibility</li> </ul> <h3>3 - Explore Power Pages templates</h3> <ul> <li>Site design templates</li> <li>Scenario-based templates</li> <li>Dynamics 365 Power Pages site templates</li> </ul> <h3>4 - Explore Power Pages design studio</h3> <ul> <li>Work with pages</li> <li>Page components</li> <li>Site styling and templates</li> </ul> <h3>5 - Explore Power Pages design studio data and security features</h3> <ul> <li>Data workspace in Power Pages design studio</li> <li>Power Pages security features</li> </ul> <h3>6 - Introduction to Power Pages administration</h3> <ul> <li>Power Pages administrative tools</li> <li>Set up workspace in Power Pages design studio</li> </ul> <h3>7 - Get started building with Power BI</h3> <ul> <li>Use Power BI</li> <li>Building blocks of Power BI</li> <li>Tour and use the Power BI service</li> </ul> <h3>8 - Get data with Power BI Desktop</h3> <ul> <li>Overview of Power BI Desktop</li> <li>Explore Power BI Desktop</li> <li>Connect to data sources</li> <li>Get data from Excel</li> <li>Transform data to include in a report</li> <li>Combine data from multiple sources</li> <li>Clean data to include in a report</li> </ul> <h3>9 - Model data in Power BI</h3> <ul> <li>How to manage your data relationships</li> <li>Create calculated columns</li> <li>Optimize data models</li> <li>Create measures</li> <li>Create calculated tables</li> <li>Explore time-based data</li> </ul> <h3>10 - Use visuals in Power BI</h3> <ul> <li>Create and customize simple visualizations</li> <li>Create slicers</li> <li>Map visualizations</li> <li>Matrices and tables</li> <li>Create scatter, waterfall, and funnel charts</li> <li>Modify colors in charts and visuals</li> <li>Page layout and formatting</li> </ul> <h3>11 - Explore data in Power BI</h3> <ul> <li>Quick insights in Power BI</li> <li>Create and configure a dashboard</li> <li>Ask questions of your data with natural language</li> <li>Create custom Q&amp;A suggestions</li> <li>Share dashboards with your organization</li> <li>Display visuals and tiles in full screen</li> <li>Edit tile details and add widgets</li> <li>Get more space on your dashboard</li> </ul> <h3>12 - Publish and share in Power BI</h3> <ul> <li>Publish Power BI Desktop reports</li> <li>Print and export dashboards and reports</li> <li>Introducing Power BI Mobile</li> <li>Create workspaces in Power BI</li> <li>Build apps</li> <li>Use apps</li> <li>Integrate OneDrive for Business with Power BI</li> <li>Publish to web</li> </ul> <h3>13 - Create and manage workspaces in Power BI</h3> <ul> <li>Distribute a report or dashboard</li> <li>Monitor usage and performance</li> <li>Recommend a development life cycle strategy</li> <li>Troubleshoot data by viewing its lineage</li> <li>Configure data protection</li> </ul> <h3>14 - Manage semantic models in Power BI</h3> <ul> <li>Use a Power BI gateway to connect to on-premises data sources</li> <li>Configure a semantic model scheduled refresh</li> <li>Configure incremental refresh settings</li> <li>Manage and promote semantic models</li> <li>Troubleshoot service connectivity</li> <li>Boost performance with query caching (Premium)</li> </ul> <h3>15 - Create dashboards in Power BI</h3> <ul> <li>Configure data alerts</li> <li>Explore data by asking questions</li> <li>Review Quick insights</li> <li>Add a dashboard theme</li> <li>Pin a live report page to a dashboard</li> <li>Configure a real-time dashboard</li> <li>Set mobile view</li> </ul> <h3>16 - Implement row-level security</h3> <ul> <li>Configure row-level security with the static method</li> <li>Configure row-level security with the dynamic method</li> </ul> <h3>17 - Create tables in Dataverse</h3> <ul> <li>Table characteristics</li> <li>Table relationships</li> <li>Dataverse logic and security</li> <li>Dataverse auditing</li> <li>Dual-write vs. virtual tables</li> </ul> <h3>18 - Manage tables in Dataverse</h3> <ul> <li>Identify tables and table types in Dataverse</li> <li>Create a custom table</li> <li>Enable attachments within a table</li> <li>Licensing requirements for each table type</li> </ul> <h3>19 - Create and manage columns within a table in Dataverse</h3> <ul> <li>Define columns in Microsoft Dataverse</li> <li>Column types in Microsoft Dataverse</li> <li>Add a column to a table</li> <li>Create a primary name column</li> <li>Restrictions that apply to columns in a table</li> <li>Create an auto numbering column</li> <li>Create an alternate key</li> </ul> <h3>20 - Create a relationship between tables in Dataverse</h3> <ul> <li>Relate one or more tables - Introduction</li> <li>Relationship types that are available in Microsoft Dataverse</li> <li>Create a one-to-many relationship between tables</li> <li>Create a many-to-many relationship between tables</li> <li>Edit or delete relationships</li> </ul> <h3>21 - Working with choices in Dataverse</h3> <ul> <li>Define choice column</li> <li>Standard choices column</li> </ul> <h3>22 - Get started with security roles in Dataverse</h3> <ul> <li>Understand environment roles</li> <li>Adding or disabling an environment user</li> <li>Understand security concepts in Dataverse</li> <li>Understand user security roles and security role defaults</li> <li>Check the roles that a user belongs to</li> <li>Configure Dataverse teams for security</li> <li>Configure Dataverse group teams for security</li> </ul> <h3>23 - Use administration options for Dataverse</h3> <ul> <li>Use Microsoft Power Platform Admin Center portal</li> <li>Tenant storage capacity</li> <li>Advanced Customization options in Power Apps Portal</li> <li>Enable and disable auditing</li> </ul> <h3>24 - Manage Dynamics 365 model-driven app settings and security</h3> <ul> <li>Configure role-based security</li> <li>Manage teams and business units</li> <li>Explore settings and customizations</li> </ul> <h3>25 - Introduction to Microsoft Power Platform security and governance</h3> <ul> <li>Identify Microsoft Power Platform environments</li> <li>Data Loss Prevention policies</li> <li>Microsoft Power Platform Center of Excellence Starter Kit</li> </ul> <h3>26 - Get started with model-driven apps in Power Apps</h3> <ul> <li>Introducing model-driven apps</li> <li>Components of model-driven apps</li> <li>Design model-driven apps</li> <li>Incorporate business process flows</li> </ul> <h3>27 - Configure forms, charts, and dashboards in model-driven apps</h3> <ul> <li>Forms overview</li> <li>Form elements</li> <li>Configure multiple forms</li> <li>Use specialized form components</li> <li>Configure views overview</li> <li>Configure grids</li> <li>Create and edit views</li> <li>Configure charts overview</li> <li>Dashboards overview</li> <li>Use interactive streams and tiles</li> </ul> <h3>28 - Get started with Power Apps canvas apps</h3> <ul> <li>Power Apps building blocks</li> <li>Ways to build Power Apps</li> <li>Power Apps related technologies</li> <li>Additional Power Apps related technologies</li> <li>Designing a Power Apps app</li> </ul> <h3>29 - Connect to other data in a Power Apps canvas app</h3> <ul> <li>Overview of the different data sources</li> <li>Work with action-based data sources</li> <li>Power Automate is a companion to Power Apps</li> </ul> <h3>30 - How to build the UI in a canvas app in Power Apps</h3> <ul> <li>Use themes to quickly change the appearance of your app</li> <li>Branding a control</li> <li>Icons</li> <li>Images</li> <li>Personalization</li> <li>Using the tablet or phone form factors</li> </ul> <h3>31 - Manage apps in Power Apps</h3> <ul> <li>Power Apps review</li> </ul> <h3>32 - Build your first app with Power Apps and Dataverse for Teams</h3> <ul> <li>Create your first app with the hero template</li> <li>Customize your app with Power Apps Studio</li> <li>Publish your app</li> <li>Install template apps</li> </ul> <h3>33 - Access Dataverse in Power Pages websites</h3> <ul> <li>Use lists to display multiple Dataverse records</li> <li>Use forms to interact with Dataverse data</li> </ul> <h3>34 - Authentication and user management in Power Pages</h3> <ul> <li>Power Pages authentication settings</li> <li>User registration in Power Pages</li> <li>Authentication management for Power Pages users</li> <li>Power Pages authentication providers</li> </ul> <h3>35 - Power Pages maintenance and troubleshooting</h3> <ul> <li>Power Pages website maintenance</li> <li>Power Pages website troubleshooting</li> </ul> <h3>36 - Define and create business rules in Dataverse</h3> <ul> <li>Define business rules - Introduction</li> <li>Define the components of a business rule</li> <li>Create a business rule</li> </ul> <h3>37 - Get started with Power Automate</h3> <ul> <li>Introducing Power Automate</li> <li>Troubleshoot flows</li> </ul> <h3>38 - Use the Admin center to manage environments and data policies in Power Automate</h3> <ul> <li>Administer flows</li> <li>Export and import flows</li> <li>Learn how to distribute button flows</li> </ul> <h3>39 - Use Dataverse triggers and actions in Power Automate</h3> <ul> <li>Dataverse triggers</li> <li>Query data</li> <li>Create, update, delete, and relate actions</li> </ul> <h3>40 - Extend Dataverse with Power Automate</h3> <ul> <li>Set up a flow and configure its trigger</li> <li>Email Dataverse record</li> <li>Add to-do items</li> <li>Test and run your flow</li> </ul> <h3>41 - Introduction to expressions in Power Automate</h3> <ul> <li>Get started with expressions</li> <li>Notes make things easier</li> <li>Types of functions</li> <li>Write complex expressions</li> </ul> <h3>42 - Build your first Power Automate for desktop flow</h3> <ul> <li>Set up the environment</li> <li>Explore Power Automate for desktop</li> <li>Create your first Power Automate for desktop flow</li> <li>Record Power Automate for desktop actions</li> <li>Edit and test recorded actions</li> </ul> <h3>43 - Run a Power Automate for desktop flow in unattended mode</h3> <ul> <li>Set up an unattended desktop flow</li> <li>Create a new cloud flow that calls an existing flow in unattended mode</li> <li>Perform a test run</li> <li>Best practices</li> </ul> <h3>44 - Optimize your business process with process advisor</h3> <ul> <li>Get familiar with process advisor</li> <li>Create your first recording</li> <li>Edit recordings and group actions</li> <li>Analyze recordings and interpret results</li> <li>Automation recommendations</li> </ul> <h3>45 - Get started with Microsoft Copilot Studio bots</h3> <ul> <li>Get started working with environments</li> <li>Create bots and work with the Microsoft Copilot Studio interface</li> <li>Create topics</li> <li>Test bots</li> <li>Publish bots and analyze performance</li> </ul> <h3>46 - Enhance Microsoft Copilot Studio bots</h3> <ul> <li>Use Power Automate to add actions</li> <li>Transfer conversations to agents by using Omnichannel for Customer Service</li> <li>Create topics for existing support content</li> <li>Analyze bot performance</li> </ul> <h3>47 - Manage topics in Microsoft Copilot Studio</h3> <ul> <li>Work with bot topics</li> <li>Branch a topic</li> <li>Create topics for existing support content</li> <li>Work with system fallback topics</li> <li>Manage topics</li> </ul> <h3>48 - Manage Power Virtual Agents</h3> <ul> <li>Environments in Microsoft Copilot Studio</li> <li>Bot topics permissions</li> <li>Bot entities and flow permissions</li> <li>Monitor and diagnose</li> <li>Administer and manage</li> <li>Export and import bots</li> <li>Authentication</li> </ul> <h3>49 - Get started building with Power BI</h3> <ul> <li>Use Power BI</li> <li>Building blocks of Power BI</li> <li>Tour and use the Power BI service</li> </ul> <h3>50 - Get data with Power BI Desktop</h3> <ul> <li>Overview of Power BI Desktop</li> <li>Explore Power BI Desktop</li> <li>Connect to data sources</li> <li>Get data from Excel</li> <li>Transform data to include in a report</li> <li>Combine data from multiple sources</li> <li>Clean data to include in a report</li> </ul> <h3>51 - Model data in Power BI</h3> <ul> <li>How to manage your data relationships</li> <li>Create calculated columns</li> <li>Optimize data models</li> <li>Create measures</li> <li>Create calculated tables</li> <li>Explore time-based data</li> </ul> <h3>52 - Use visuals in Power BI</h3> <ul> <li>Create and customize simple visualizations</li> <li>Create slicers</li> <li>Map visualizations</li> <li>Matrices and tables</li> <li>Create scatter, waterfall, and funnel charts</li> <li>Modify colors in charts and visuals</li> <li>Page layout and formatting</li> </ul> <h3>53 - Explore data in Power BI</h3> <ul> <li>Quick insights in Power BI</li> <li>Create and configure a dashboard</li> <li>Ask questions of your data with natural language</li> <li>Create custom Q&amp;A suggestions</li> <li>Share dashboards with your organization</li> <li>Display visuals and tiles in full screen</li> <li>Edit tile details and add widgets</li> <li>Get more space on your dashboard</li> </ul> <h3>54 - Publish and share in Power BI</h3> <ul> <li>Publish Power BI Desktop reports</li> <li>Print and export dashboards and reports</li> <li>Introducing Power BI Mobile</li> <li>Create workspaces in Power BI</li> <li>Build apps</li> <li>Use apps</li> <li>Integrate OneDrive for Business with Power BI</li> <li>Publish to web</li> </ul> <h3>55 - Manage solutions in Power Apps and Power Automate</h3> <ul> <li>Add and remove apps, flows, and entities in a solution</li> <li>Edit a solution-aware app, flow, and table</li> <li>Build and deploy a complex solution with flows, apps, and entities</li> <li>Automate solution management</li> </ul> <h3>56 - Load/export data and create data views in Dataverse</h3> <ul> <li>View data in a table</li> <li>Create or edit views of data in a table</li> <li>Load data into a table</li> <li>Export data from a table</li> <li>Add, update, or delete data in a table by using Excel</li> <li>Import data using Power Query</li> <li>Generate a new dataflow from an Excel Template</li> <li>Dataflow and Azure integration</li> </ul> <h3>57 - Get started with AI Builder</h3> <ul> <li>Choose an AI capability</li> <li>Create your first model</li> <li>Ways to use your models</li> </ul> <h3>58 - Manage models in AI Builder</h3> <ul> <li>Model lifecycle</li> <li>Manage model versions</li> <li>Share your models</li> </ul> <h3>59 - Use AI Builder in Power Automate</h3> <ul> <li>AI Builder in Power Automate saves time</li> <li>Advanced usage of AI Builder in Power Automate</li> </ul> <h3>60 - Functional Consultant skills</h3> <ul> <li>Create entity relationship diagrams</li> <li>Create and document mock-ups</li> <li>Document functional requirements and artifacts</li> <li>Complete fit-gap analysis</li> <li>Discuss stakeholder management responsibilities</li> <li>Understand industry accelerators</li> <li>Define Application Lifecycle Management</li> <li>Participate in testing</li> <li>Evaluate options</li> <li>Define connectors</li> <li>Understand Power Apps component framework</li> </ul> <h3>61 - Solution Architect series: Plan application lifecycle management for Power Platform</h3> <ul> <li>Key considerations for ALM</li> <li>Solutions</li> <li>Configuration and reference data</li> <li>Release process</li> <li>ALM with Azure DevOps</li> </ul></div>

Nexus Human

Microsoft Power Apps

Power Apps

Microsoft Power BI

Microsoft Power Platform

Microsoft AZ-104

Microsoft AZ-303

PL-200T00 Microsoft Power Platform Functional Consultant

<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

Online Course Marketing

NLP Practitioner

Microsoft AI-900

AI (Artificial Intelligence)

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
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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

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

Duco Digital Training

IT Certifications

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

Loughborough

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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>

Mpi Learning - Professional Learning And Development Provider

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>

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>

Studyhub UK

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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