Name: Fundamentals of Seismic for Non-Geophysicists
Price: 3697 GBP
Availability: InStock

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

Packt

Python

Programming

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

General Admission

Loughborough

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			<p>Data Ethics for Business Professionals is designed for individuals who are seeking to demonstrate an understanding of the ethical uses of data in business settings.</p>
			<div><i></i> 6 hours or 3 x 90 min sessions</div>
			<div><i></i>  £45.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><p><span>This course empowers professionals to identify sources of ethical risk and move beyond transparency to understand all ethical principles while balancing business considerations of ethically driven technology.</span></p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Overview</h4>
<p>The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we apply ethical principles to data driven technology? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology.</p>
<h4>Course Length:</h4>
<p>6 hours instructional time Content is designed to be presented as a full day class, or in three 90-minute sessions by lesson.</p>
<h4>Course Content:</h4>
<p>Each lesson includes activities, indicated in orange and may include resources for learners to integrate ethical practices into their own organization, indicated in blue.</p>
<h4>Introduction to Data Ethics</h4>
<p>Define Ethics <br />Define Data <br />Define Data Ethics <br />Principles of Data Ethics <br />The Case for Data Ethics<br />Identifying Ethical Issues</p>
<h4>Ethical Principles</h4>
<p>Ethical Frameworks <br />Applying Ethical Frameworks <br />Privacy, Fairness, and Safety <br />Applying Privacy, Fairness, and Safety Principles <br />Algorithms and Human-Centered Values <br />Discussing True and False Positives and Negatives <br />Discussing Accuracy and Precision <br />Discussing Correlation and Causation <br />Transparency and Explainability: The Black Box Problem <br />Discussing Black Box Parallels <br />Inclusive Growth, Sustainable Development, and Well-Being <br />Examining a Tech for Good Organization <br />Improving Ethical Data Practices</p>
<h4>Sources of Ethical Risk</h4>
<p>Bias and Discrimination <br />Case Study: Allegheny Family Screening Tool <br />Data Surveillance <br />Safety and Security <br />Case Study: PredPol</p>
<h4>Business Considerations</h4>
<p>Data Legislation <br />Manage the Effects of Data <br />Case Study <br />Embed Organizational Values in the Data Value Chain <br />Building a Data Ethics Culture/Code of Ethics</p>
<h4>Exam</h4>
<p><span>A Data Ethics Business Professional is an individual who has demonstrated foundational knowledge of the ethical use of data in emerging technologies in a business. A credential holder is able to identify, explain, and document how organizations identify ethical principles and considerations, understand sources of risk, and explain how businesses can create sustainable, ethical decision-making processes.</span></p>
<p><span>Exam Details: 40 Mins, Multiple Choice Online Assessment. </span></p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions. Other individuals who want to know more about data ethics are also candidates for this course.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have a working knowledge of general business concepts and practices. You should also have a basic understanding of Artificial Intelligence and or Data Science.</p>
<p></p>

Mpi Learning - Professional Learning And Development Provider

Data Ethics for Business Professionals is designed for individuals who are seeking to demonstrate an understanding of the ethical uses of data in business settings.

Data Ethics for Business Professionals

<strong>This extensive course for beginners provides the basics of chatbots with machine learning, deep learning, AWS, and its applications, building it from scratch with hands-on practice for chatbot development. This course will help you learn basic to advanced mechanisms of developing chatbots using machine learning, deep learning, and AWS with Python.</strong>
        <p>Chatbots are computer programs that converse with users, understand their intent, and reply based on preset rules and data. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering in e-commerce, education, entertainment, finance, health, and more.

The course begins with an in-depth introduction to chatbot basics with ML, DL, and AWS. We will understand chatbots, their needs and types, rule-based/self-learning chatbots and their working mechanisms, and explore ML-based chatbot concepts. We will explore Natural Language Toolkit (NLTK) and install packages to create a corpus with Python. We will train and test the chatbot.

We will then advance to DL-based chatbots and compare conventional with DL-based chatbots. You will learn about tokenization, encoder-decoder, and implementing RNN-based models. Finally, we will explore AWS for chatbot training with DL. We will examine the features of AWS and build a hotel booking chatbot with Amazon Lex. We will connect AWS Lambda to Amazon Lex and integrate the chatbot with Twilio. We will use AWS SDK and create response cards with chatbots.

Upon completion, we will independently be able to build chatbots using ML, DL, and AWS Lex on Python, with a thorough understanding of the creation and functioning of these chatbots.

All resources are available at: https://github.com/PacktPublishing/Chatbots-for-Beginners-A-Complete-Guide-to-Build-Chatbots </p>
        <h2>What You Will Learn</h2><p>Learn the basic machine learning architecture for the chatbots<br>Gain hands-on practice in text generation with Python for chatbots<br>Learn about testing and training chatbots with machine learning<br>Learn hands-on web-based development of the AWS chatbot<br>Implement settings of a decoder-encoder model with Python<br>Understand the impact/overview tokenization in chatbot development</p>
        <h2>Audience</h2><p>This course is designed for individuals looking to advance their skills in applied machine learning and DL, understand relationships of data analysis with ML and DL, learn AWS and apply AWS Lex and Lambda for chatbots, build customized chatbots for their applications, implement DL algorithms for chatbots and rule-based self-learning chatbots. This course can benefit ML/DL practitioners, research scholars, and data scientists researching chatbots. No prior knowledge of chatbots, ML, DL, Amazon Lex, data analysis, or mathematics is required. Prior basic- to intermediate-level Python knowledge is required.</p>
        <h2>Approach</h2><p>The course is crafted to help you understand concepts with real-world applications and provides hands-on experience with a project. This straightforward learning-by-doing course will help you master the concepts and methodology with ease. This course is easy to understand, interactive, self-explanatory, and practical, with live coding with multiple in-depth projects covering complete course content.</p>
        <h2>Key Features</h2><p>Learn basic ML architecture for chatbots and the impact of ML technology on the chatbots industry * Explore Amazon Web Services (AWS) and the functionality of Amazon Lex for chatbot development * Gain hands-on knowledge of Amazon Lex, Lambda, and Twilio, and their integration with AWS chatbots</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Chatbots-for-Beginners-A-Complete-Guide-to-Build-Chatbots</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Basics of Chatbots with Machine Learning & Python</h4><p></p><br><h4>3. Advanced Chatbots with Deep Learning & Python</h4><p></p><br><h4>4. Chatbots Development with Amazon Lex</h4><p></p>

Web Development

TensorFlow

This extensive course for beginners provides the basics of chatbots with machine learning, deep learning, AWS, and its applications, building it from scratch with hands-on practice for chatbot development. This course will help you learn basic to advanced mechanisms of developing chatbots using machine learning, deep learning, and AWS with Python.

Chatbots for Beginners: A Complete Guide to Build Chatbots

<div><h2> About Course</h2><div><p><strong>Data Science and Data Analytics with Python: A Comprehensive Course for Beginners</strong></p><p><strong>Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python.</strong></p><p><span>This course is designed for beginners of all skill levels,</span><span> with no prior programming experience required.</span><span> You will learn the essential skills to embark on your data-driven journey,</span><span> including:</span></p><ul><li><span>Data manipulation with NumPy and Pandas</span></li><li><span>Data visualization with Matplotlib and Seaborn</span></li><li><span>Statistical analysis with Python</span></li><li><span>Machine learning and artificial intelligence</span></li></ul><p><span>You will also gain hands-on experience with real-world data projects,</span><span> allowing you to apply your newfound knowledge to solve real-world problems.</span></p><p><strong>By the end of this course, you will be able to:</strong></p><ul><li><span>Understand the fundamentals of data science and data analytics</span></li><li><span>Apply Python to manipulate,</span><span> visualize,</span><span> and analyze data</span></li><li><span>Use Python to build machine learning and artificial intelligence models</span></li><li><span>Solve real-world data problems</span></li></ul><p><span>This course is the perfect launchpad for your data science journey.</span><span> Whether you are looking to pivot your career,</span><span> enhance your skill set,</span><span> or simply quench your curiosity,</span><span> this course will give you the foundation you need to succeed.</span></p>  <p><strong>Enroll today and start exploring the fascinating world of data science together!</strong></p></div></div> <div><h3> What Will You Learn?</h3><ul><li> <span></span> <span>Understand the fundamentals of data science and data analytics</span></li><li> <span></span> <span>Apply Python to manipulate, visualize, and analyze data</span></li><li> <span></span> <span>Use Python to build machine learning and artificial intelligence models</span></li><li> <span></span> <span>Solve real-world data problems</span></li></ul></div><div><h3> Course Content</h3><div><div><h4> Introduction to Python Data Science</h4><div><div><ul><li><div> <span></span><h5> Introduction to Python Data Science</h5></div><div> </div></li><li><div> <span></span><h5> Environment Setup</h5></div><div> </div></li></ul></div></div></div><div><h4> Data Cleaning Packages</h4><div><div><ul><li><div> <span></span><h5> Working with the Numpy package</h5></div><div> </div></li><li><div> <span></span><h5> Working with Pandas Data science package</h5></div><div> </div></li></ul></div></div></div><div><h4> Data Visualization Packages</h4><div><div><ul><li><div> <span></span><h5> Working with Matplotlib Data Science package (Part - 1)</h5></div><div> </div></li><li><div> <span></span><h5> Working with Matplotlib Data Science (Part - 2)</h5></div><div> </div></li></ul></div></div></div></div></div>A course by  Uditha Bandara  Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience  Beginners with no prior programming experience  Anyone interested in learning data science and data analytics<h3> Audience</h3><ul><li> <span></span> <span>Beginners with no prior programming experience</span></li><li> <span></span> <span>Anyone interested in learning data science and data analytics</span></li></ul>

Xpert Learning

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Skills

Data Analyst

Data Science and Data Analytics with Python

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			<h2><b>Course Description</b></h2>
<div>
<p><span>Get instant knowledge from this bite-sized COVID-19 Awareness: Part 2 course. This course is very short and you can complete it within a very short time. In this COVID-19 Awareness: Part 2 course you will get fundamental ideas of COVID-19, the key understanding of diagnosis, treatment and so on. Enrol in this course today and start your instant first step towards learning about the effects of COVID-19 on human life. Learn faster for instant implementation.  </span></p>
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<h2><b>Learning Outcome</b></h2>
<ul>
<li><span>Familiarise with the effects of COVID-19 on human life </span></li>
<li><span>Deepen your understanding of artificial intelligence, data science and technological solutions against COVID-19 </span></li>
<li><span>Learn about the diagnosis and treatment </span></li>
<li><span>Gain an excellent understanding of the preventions and social measures to be taken </span></li>
</ul>
<h2><b>How Much Do Doctors Earn?</b></h2>
<ul>
<li><span>Senior - £100,000 (Apprx.) </span></li>
<li><span>Average - £52,000 (Apprx.) </span></li>
<li><span>Starting - £27,000 (Apprx.) </span></li>
</ul>
<h2><strong>Requirement</strong></h2>
<p>Our<strong> COVID-19 Awareness: Part 2 </strong>is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</p><table>				<tbody><tr>
					<td colspan="4">COVID-19 Awareness: Part 2</td>
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					<td>Module 01: Effects of Covid-19 on Human Life</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td>Module 02: Diagnosis and Treatment</td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td>Module 03: Preventions and Social Measures to Be Taken</td>
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					<td><span><i></i> 00:28:00</span></td>
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					<td>Module 04: Artificial Intelligence, Data Science and Technological Solutions against Covid-19</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td>Assignment - COVID-19 Awareness: Part 2</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
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iStudy UK

Online Course Marketing

Online Course Creation

COVID-19 Awareness: Part 2

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Dive deep into the world of ChatGPT with our ChatGPT Masterclass. From basic functionalities to advanced applications across various domains, this course equips you with the knowledge to leverage ChatGPT effectively. Enhance your professional skills, academic pursuits, and personal projects by mastering ChatGPT today.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Understand the mechanics behind ChatGPT&rsquo;s responses.</li><li fr-original-style="" style="box-sizing: border-box;">Create precise and effective prompts for ChatGPT.</li><li fr-original-style="" style="box-sizing: border-box;">Utilize ChatGPT for creative and technical writing.</li><li fr-original-style="" style="box-sizing: border-box;">Leverage ChatGPT for educational support and learning.</li><li fr-original-style="" style="box-sizing: border-box;">Integrate ChatGPT with Microsoft Excel for data management.</li><li fr-original-style="" style="box-sizing: border-box;">Employ ChatGPT to achieve professional excellence.</li><li fr-original-style="" style="box-sizing: border-box;">Explore practical and innovative ChatGPT prompts.</li><li fr-original-style="" style="box-sizing: border-box;">Implement ChatGPT strategies in social media marketing.</li><li fr-original-style="" style="box-sizing: border-box;">Understand the capabilities of ChatGPT Plus and New Bing.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Curriculum</strong></p><h4 id="isPasted" fr-original-style="" style="box-sizing: border-box;">Module 01: Getting Started with ChatGPT</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to ChatGPT:</strong> Basics of how to interact with and utilize ChatGPT effectively.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 02: Understanding ChatGPT</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">How ChatGPT Works:</strong> Insights into the AI and machine learning principles powering ChatGPT.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 03: Crafting Effective ChatGPT Prompts: A Guide</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prompt Engineering:</strong> Techniques for developing precise prompts that generate desired outcomes.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 04: Writing with ChatGPT</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Creative and Technical Writing:</strong> Using ChatGPT to assist with various writing tasks and projects.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 05: ChatGPT for Students</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Educational Applications:</strong> How students can use ChatGPT for studying, research, and homework assistance.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 06: ChatGPT for MS Excel</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Excel Integration:</strong> Harnessing ChatGPT for automating tasks and analyzing data in Microsoft Excel.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 07: ChatGPT for Professional Excellence</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Development:</strong> Applying ChatGPT in professional settings for communication, problem-solving, and innovation.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 08: Useful ChatGPT Prompts</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Practical Prompts:</strong> A collection of effective ChatGPT prompts for various uses.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 09: Social Media Marketing with ChatGPT</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Marketing Strategies:</strong> Leveraging ChatGPT for content creation, customer engagement, and campaign management.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 10: ChatGPT Plus and New Bing</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Advanced Features:</strong> Exploring the enhanced capabilities and applications of ChatGPT Plus and New Bing.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 11: ChatGPT in Personal Life</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Everyday Uses:</strong> Practical ways to incorporate ChatGPT into daily personal tasks and activities.</li></ul><h4 fr-original-style="" style="box-sizing: border-box;">Module 12: The Future with ChatGPT</h4><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Looking Ahead:</strong> Discussing potential future developments in ChatGPT technology and its implications for various sectors.</li></ul>

RapidEDX

AI (Artificial Intelligence)

ChatGPT

ChatGPT Masterclass

<h1 style="color: rgb(228, 129, 37); text-align: center; box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(228, 129, 37); text-align: center;">Using Technology in Teaching</h1><div style="color: rgb(52, 52, 52); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(52, 52, 52);"><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(52, 52, 52);">In this exciting TEFL Wonderland adventure, you will learn and practice how to use technology and artificial intelligence in planning lessons, designing teaching materials and developing assessments.</p><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Participants:</strong></p><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);">The course targets any novice or experienced teacher (of any subject) who wants to learn how to use technology and artificial intelligence tools in planning lessons, designing teaching materials, creating formative and summative assessments, tracking student progress and providing feedback.</p><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Main Points:</strong></p><ol style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><li fr-original-style="" style="box-sizing: border-box;">What Are the Benefits of Using Technology in Teaching?</li><li fr-original-style="" style="box-sizing: border-box;">Learning Environments and Models</li><li fr-original-style="" style="box-sizing: border-box;">E-Learning Components</li><li fr-original-style="" style="box-sizing: border-box;">How to Select Online Ready-Made Materials</li><li fr-original-style="" style="box-sizing: border-box;">How to Create Your Own Materials Offline</li><li fr-original-style="" style="box-sizing: border-box;">Using Online Tools for Creating Teaching Materials</li><li fr-original-style="" style="box-sizing: border-box;">Using Artificial Intelligence (AI) Tools in Planning Lessons</li><li fr-original-style="" style="box-sizing: border-box;">Using AI Tools in Designing Teaching Materials</li><li fr-original-style="" style="box-sizing: border-box;">Using AI Tools in Assessment and Feedback</li></ol><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Number of hours:</strong>&nbsp;15 hours</p><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Number of territories:</strong>&nbsp;2 territories</p><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Number of checkpoints:</strong>&nbsp;2 checkpoints</p><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course access:</strong>&nbsp;60 Days</p><p style="color: rgb(52, 52, 52); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(52, 52, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Passing the Course:</strong>&nbsp;Passing the 2 checkpoints and completing the course evaluation</p></div><p fr-original-style="" style="font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certificate:&nbsp;</strong>E-Certificate with Verification Number and QR Code</p><p fr-original-style="" style="font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Why TEFL Wonderland:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style="color: var( --e-global-color-c9114aa );">Worldwide&nbsp;</span>Accreditation</li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">Gamified Adventures</span></li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">Animated Videos</span></li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">Interactive Practice</span></li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">Personalized Tutor Support</span></li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">Learner Community</span></span></li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">Audios for all written text</span></li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">Video Scripts</span></li><li style="color: rgb(52, 52, 52); box-sizing: border-box;" fr-original-style="color: rgb(52, 52, 52);"><span style="color: var( --e-global-color-c9114aa ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-c9114aa );">100% Online</span></li></ul>

TEFL Wonderland - Brilliant Minds

English Pronunciation

English Speaking

English Vocabulary

English

General English

Using Technology in Teaching

<h2>Description</h2><p><span><strong>Robotics Fundamentals Diploma</strong></span></p><p><span>Introducing the Robotics Fundamentals Diploma, an innovative online course tailored for those keen on learning the nuances of modern robotics. This programme is an unparalleled journey into the captivating world of machines, sensors, and algorithms that are shaping the future.</span></p><p><span>Begin with a comprehensive introduction to robotics, setting a solid foundation for your studies. Grasping the basics is paramount, and this diploma ensures learners obtain a deep understanding of these core principles. Next, the course navigates the broader expanse of robotics fundamentals. Here, individuals grasp the intricacies that lie at the heart of these machines.</span></p><p><span>Every robot, from the simplest to the most complex, relies on sensors and actuators. Delving into this topic, this diploma teaches students about their pivotal role in robotics. From sensing external stimuli to initiating precise movements, these components are the nerve centres of any robotic system.</span></p><p><span>The beauty of a robot lies in its movements. Thus, the segments on mechanisms and kinematics elucidate the physical aspects that contribute to their agile motion. Pair this with a detailed analysis of the dynamics and control of robots, and one gets a holistic view of how these machines function and interact with their surroundings.</span></p><p><span>But, how do robots determine their course of action? That's where the module on path planning and navigation comes into play. It allows learners to comprehend how robots chart their routes and avoid obstacles, ensuring smooth and efficient operations.</span></p><p><span>Manipulation and grasping are fundamental robotic tasks, especially in industrial settings. This diploma elaborates on the strategies and techniques robots use to handle objects, ensuring they can efficiently interact with the physical world around them.</span></p><p><span>As we delve further into the modern realm of robotics, the role of computer vision becomes unmistakably evident. This course unravels its significance, showcasing how robots perceive and interpret visual information, ensuring accurate responses to their environment.</span></p><p><span>In today's age, no study of robotics is complete without addressing artificial intelligence and machine learning. These are the cognitive components that arm robots with 'thinking' capabilities. This module of the Robotics Fundamentals Diploma delves deep into the integration of these technologies in robotics, offering insights into how machines learn, adapt, and make decisions.</span></p><p><span>Lastly, as with any forward-looking course, the programme concludes with a session on emerging trends and applications of robotics. From healthcare to space exploration, learners are acquainted with the innovative ways robots are being employed to redefine the boundaries of possibility.</span></p><p><span>In summary, the Robotics Fundamentals Diploma offers a comprehensive online learning experience. Whether you're a budding engineer, a tech enthusiast, or simply someone curious about the robotic world, this course promises to equip you with the knowledge and skills necessary to navigate this ever-evolving landscape. Sign up today and embark on an enlightening journey into the realm of robotics.</span></p><p><span><strong>What you will learn</strong></span></p><p><span><strong>1</strong>:Introduction to Robotics</span><br />
<span><strong>2</strong>:Robotics Fundamentals</span><br />
<span><strong>3</strong>:Sensors and Actuators in Robotics </span><br />
<span><strong>4</strong>:Mechanisms and Kinematics </span><br />
<span><strong>5</strong>:Dynamics and Control of Robots </span><br />
<span><strong>6</strong>:Path Planning and Navigation </span><br />
<span><strong>7</strong>:Manipulation and Grasping </span><br />
<span><strong>8</strong>:Computer Vision in Robotics </span><br />
<span><strong>9</strong>:Artificial Intelligence and Machine Learning in Robotics </span><br />
<span><strong>10</strong>:Emerging Trends and Applications of Robotics</span></p><h4>Course Outcomes</h4><p>
After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college.</p><h4>Assessment</h4><p>
Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter.</p><h4>Accreditation</h4><p>
Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.</p>

Elearncollege

Robotics Fundamentals Course

Memory

This comprehensive course unlocks the boundless potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guiding you from AI novice to expert. Dive into 15 different practical projects, from dynamic chatbots to data analysis tools, and cultivate a profound understanding of AI, empowering your journey into the future of language-based applications.

LangChain Masterclass - Build 15 OpenAI and LLAMA 2 LLM Apps Using Python

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<h2><strong>About this Training Course</strong></h2>
<p>There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil &amp; Gas industry.</p>
<p>In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided.</p>
<p>This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results.</p>
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<p>By attending this course, participants will be able to acquire the following:</p>
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<li>Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these.</li>
<li>Be able to communicate more effectively with staff in other disciplines.</li>
<li>Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation.</li>
<li>Gain an awareness of modern seismic technology.</li>
<li>Apply the learning in a series of practical, illustrative exercises.</li>
<li>Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&amp;P activities</li>
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Target Audience 

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<p>The blended course is intended for <strong>non-geophysicists who have intensive interaction with geophysicists</strong>. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests.</p>
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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 has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone.</p>
<p>After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments.</p>
<p>After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht.</p>
<p>From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods.</p>
<p>After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies.</p>
<p>In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics.</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

Fundamentals of Seismic for Non-Geophysicists

Team of 10, pp

Normal Fee, pp

<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>

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

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                            <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>

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                            <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>
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        <div>Certificates</div>
    </h2>

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

                        </div>

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

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

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



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



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



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



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



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

Academy for Health and Fitness

NLP Practitioner

Trainers Course

Microsoft AI-900

Artificial Intelligence, Open AI & ChatGPT

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

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

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

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

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

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

                        </div>

If you aim to enhance your Machine Learning & Artificial Intelligence skills, our comprehensive Machine Learning & Artificial Intelligence course is perfect for you. Designed for success, this Machine Learning & Artificial Intelligence course covers everything from basics to advanced topics in Machine Learning & Artificial Intelligence.
Each lesson in this Machine Learning & Artificial Intelligence course is crafted for easy understanding, enabling you to become proficient in Machine Learning & Artificial Intelligence. Whether you are a beginner or looking to sharpen your existing skills, this Machine Learning & Artificial Intelligence is the ideal choice.
With our Machine Learning & Artificial Intelligence exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. 
Courses are Included in This Machine Learning & Artificial Intelligence Bundle:
Course 01: Machine Learning Basics
Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media
Course 03: Machine Learning with Python Course
Course 04: Project on Deep Learning - Artificial Neural Network
Course 05: Data Science & Machine Learning with R Training
Course 06: ChatGPT for Marketing and Productivity with AI Tools
Learning Outcomes of this Machine Learning & Artificial Intelligence
Understand the foundational concepts of machine learning and its applications.
Gain practical experience through hands-on machine learning projects and tools.
Master Python programming for effective machine learning applications and tasks.
Develop deep learning models using artificial neural networks effectively.
Apply data science techniques using R for comprehensive data analysis.
Learn to utilise AI tools for marketing and enhancing productivity in business.
Why Choose Our Course?
FREE Machine Learning & Artificial Intelligence certificate accredited
Get a free student ID card with Machine Learning & Artificial Intelligence Training
Get instant access to this Machine Learning & Artificial Intelligence course.
Learn Machine Learning & Artificial Intelligence from anywhere in the world
Machine Learning & Artificial Intelligence is affordable and simple to understand
This bundle is an entirely online, interactive lesson with voiceover audio
Lifetime access to the Machine Learning & Artificial Intelligence course materials
The Machine Learning & Artificial Intelligence comes with 24/7 tutor support
So enrol now in this Machine Learning & Artificial Intelligence Today to advance your career!



Start your learning journey straightaway with Machine Learning & Artificial Intelligence!
This Machine Learning & Artificial Intelligence's curriculum has been designed by Machine Learning & Artificial Intelligence experts with years of Machine Learning & Artificial Intelligence experience behind them. The Machine Learning & Artificial Intelligence course is extremely dynamic and well-paced to help you understand Machine Learning & Artificial Intelligence with ease. You'll discover how to master Machine Learning & Artificial Intelligence skills while exploring relevant and essential topics.
*** Course Curriculum ***
Course 01: Machine Learning Basics
Section 01: Introduction
Section 02: Regression
Section 03: Predictors
Section 04: Minitab
Section 05: Regression Trees
Section 06: Binary Logistics Regression
Section 07: Classification Trees
Section 08: Data Cleaning
Section 09: Data Models
Section 10: Learning Success
Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media
Section 01: Introduction
Section 02: Building the Auto Image Captioning
Section 03: Deployment of Machine Learning App
Assessment Process of Machine Learning & Artificial Intelligence
Once you have completed all the courses in the Machine Learning & Artificial Intelligence bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
 CPD 
60 CPD hours / points  Accredited by CPD Quality Standards



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




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




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



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

Learning & Development

Managed Learning Programme (MLP)

Machine Learning (ML)

Azure Machine Learning

ICDL (International Certification of Digital Literacy)

Machine Learning & Artificial Intelligence

OnlinePMCourses

Artificial Intelligence is here.

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

🤖 What is Artificial Intelligence?

🦾 What is the role of AI in Project Management?

⚠️ What are the issues surrounding AI?

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

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

Artificial Intelligence & Project Management

Master the Skills Now

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

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

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

Certified Artificial Intelligence Practitioner

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


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

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

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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