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Generative AI and ChatGPT Master Course with 20 AI Tools

Name: Generative AI and ChatGPT Master Course with 20 AI Tools
Rating: 4.2 (34 reviews)

ChatGPT and AI | Learn Prompt Engineering, LLM and ChatGPT, Practice with 20 AI Tools and Master Generative AI skills

Created byOak Academy, OAK Academy Team, Ali̇ CAVDAR

Last updated 6/2026

English

What you'll learn

What is Artificial Intelligence?
Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
Artificial Super Intelligence (ASI)
Subsets of Artificial Intelligence - Machine Learning
Subsets of Artificial Intelligence - Deep Learning
Machine Learning vs. Deep Learning
Machine Learning Study with a Real Example
Large Language Models(LLM)
Natural Language Processing(NLP)
A Warning Before Switching to ChatGPT
Revolutionary of the Era: OpenAI
The Revolution of the Age: Creating a ChatGPT Account
Let's Get to Know the ChatGPT Interface
ChatGPT: Differences Between Versions
Differences in the ChatGPT-4 Interface
ChatGPT's Endpoints
ChatGPT's Secret to More Accurate Answers:
Prompt Prompt Engineering Power
Summary of Prompt Engineering Fundamentals
Prompt Engineering: Sample Prompts
Best Questions in Prompt Engineering
Summary of the Best Questions in Prompt Engineering
Reinforcing the topic through a scenario
Drawing a Roadmap to the Prompt
Directed Writing Request
Clear Explanation Method
Example-Based Learning
RGC(Role, Goals, Context)
Constrained Responses
Adding Visual Appeal
Prompt Updates
ChatGPT-Google Extension
Email Writing
Summarizing YouTube Videos
Talk to ChatGPT
Quick Access to ChatGPT
Dive Into Websites
Get Prompt Assistance
Using the ChatGPT API
File Reading
Visual Reading
Visual Generation (DALL-E Introduction)
Enhancing Images with DALL-E
Improving Visuals Through Ready-Made Prompts
Combining Images
A Helper Site for Visual Prompts
GPTs
Create Your Own GPT
Useful GPTs
Big News: Introducing ChatGPT-4o
How to Use ChatGPT-4o?
Chronological Development of ChatGPT
What Are the Capabilities of ChatGPT-4o?
As an App: ChatGPT
Voice Communication with ChatGPT-4o
Instant Translation in 50+ Languages
Interview Preparation with ChatGPT-4o
Visual Commentary with ChatGPT-4o

Course content

18 sections • 149 lectures • 16h 38m total length

What is Artificial Intelligence?7:17
In this lesson, we will explore the fundamental concepts and definitions of Artificial Intelligence, understanding its scope and significance in modern technology.

What Is Artificial Intelligence (AI)?
Artificial intelligence is a technology that allows you to generate, classify, and perform tasks like image analysis and speech recognition.
Artificial Narrow Intelligence (ANI)5:34
In this lesson, we will dive into Artificial Narrow Intelligence (ANI), also known as Weak AI, and discuss its capabilities and limitations with examples from current AI applications.

Artificial Narrow Intelligence

ANI is also referred to as Narrow AI or Weak AI. This type of artificial intelligence is one that focuses primarily on one single narrow task, with a limited range of abilities. If you think of an example of AI that exists in our lives right now, it is ANI.
Artificial General Intelligence (AGI)3:38
In this lesson, we will explore the concept of Artificial General Intelligence (AGI), or Strong AI, focusing on its theoretical potential to perform any intellectual task that a human can do.

What is Artificial General Intelligence?
Artificial General Intelligence (AGI) is a type of artificial intelligence equipped with the ability to behave like a human in tasks that require different types and scales of intelligence. This means AGI can exhibit functionality across a wide range of tasks, not limited to specific ones. This technology, currently in development, is considered the holy grail of AI. Achieving AGI could elevate machines' learning, decision-making, and creative thinking abilities to human levels.
Artificial Super Intelligence (ASI)3:38
In this lesson, we will discuss Artificial Super Intelligence (ASI), its hypothetical scenarios, and the implications of AI surpassing human intelligence.

What is artificial superintelligence?
Artificial superintelligence (ASI) is a hypothetical software-based artificial intelligence (AI) system with an intellectual scope beyond human intelligence. At the most fundamental level, this superintelligent AI has cutting-edge cognitive functions and highly developed thinking skills more advanced than any human.
Subsets of Artificial Intelligence - Machine Learning3:40
In this lesson, we will break down the subset of AI known as Machine Learning, examining how machines learn from data and the different approaches within this field.

Machine Learning
Machine learning is a part of AI which provides intelligence to machines with the ability to automatically learn with experiences without being explicitly programmed.
It is primarily concerned with the design and development of algorithms that allow the system to learn from historical data.
Machine Learning is based on the idea that machines can learn from past data, identify patterns, and make decisions using algorithms.
Machine learning algorithms are designed in such a way that they can learn and improve their performance automatically.
Machine learning helps in discovering patterns in data.
Subsets of Artificial Intelligence - Deep Learning3:43
In this lesson, we will delve into Deep Learning, a more advanced subset of Machine Learning, exploring how neural networks and layered architectures work to mimic human brain functions.

Deep Learning
Deep learning is a subset of machine learning which provides the ability to machine to perform human-like tasks without human involvement. It provides the ability to an AI agent to mimic the human brain. Deep learning can use both supervised and unsupervised learning to train an AI agent.
Deep learning is implemented through neural networks architecture hence also called a deep neural network.
Deep learning is the primary technology behind self-driving cars, speech recognition, image recognition, automatic machine translation, etc.
The main challenge for deep learning is that it requires lots of data with lots of computational power.
Machine Learning vs. Deep Learning3:35
In this lesson, we will compare and contrast Machine Learning with Deep Learning, highlighting their key differences, strengths, and appropriate use cases.

deep learning can learn from its own errors while machine learning needs a human to intervene. Deep learning also requires much more data than machine learning, which in turn requires significantly more computational power
Machine Learning Study with a Real Example: Lesson 13:56
In this lesson, we will conduct a hands-on Machine Learning study using a real-world example, starting from data preparation to model selection and evaluation.

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses. ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.
Machine Learning Study with a Real Example: Lesson 24:33
In this lesson, we will continue the hands-on Machine Learning study, refining the model, tuning hyperparameters, and analyzing the results to draw meaningful conclusions.

What is Chat GPT?
It is an artificial intelligence (AI) chatbot technology that can process our natural human language and generate a response.
Large Language Models(LLM)5:07
In this lesson, we will explore Large Language Models (LLMs), discussing how they are trained, their applications, and the impact they have had on natural language processing and AI development.

What are LLMs?
Large language models (LLMs) are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks.
Natural Language Processing(NLP)6:11
In this lesson, we will cover the fundamentals of Natural Language Processing (NLP), including key techniques, algorithms, and the challenges involved in teaching machines to understand and generate human language.

What is NLP?
Natural language processing (NLP) is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human language.

A Warning Before Switching to ChatGPT2:35
In this lesson, we will discuss the considerations and potential challenges users may face before switching to ChatGPT, including data privacy and AI limitations.

What is ChatGPT?
ChatGPT is an artificial intelligence (AI) chatbot that uses natural language processing to create humanlike conversational dialogue. The language model can respond to questions and compose various written content, including articles, social media posts, essays, code and emails.
Revolutionary of the Era: OpenAI10:57
In this lesson, we will explore OpenAI, the organization behind ChatGPT, and its revolutionary role in advancing artificial intelligence.

What is OpenAI?
OpenAI is an AI research lab and company that aims to develop AI and steer it in ways that “benefit all of humanity.” It was created at first as a non-profit organization due to its founders’ concerns about the potential misuse and catastrophe from AI being used “in the wild.” Several investors pooled together $1 billion to deliver research and resources that remain open to the public.
The Revolution of the Age: Creating a ChatGPT Account1:49
In this lesson, we will guide you through the process of creating a ChatGPT account, ensuring you can access and start using the platform effectively.

What Is ChatGPT Used For?
ChatGPT is primarily used for natural language understanding and generation, making it valuable for tasks like content creation, chatbot development, language translation, and more.
Let's Get to Know the ChatGPT Interface9:38
In this lesson, we will take a tour of the ChatGPT interface, familiarizing ourselves with the features and tools available to users.

ChatGPT is a language model developed by OpenAI. It is part of the generative AI tools which utilize deep learning techniques to understand and generate text. The model works like a chatbot for asking questions or giving prompts, and it generates contextually relevant responses.
ChatGPT: Differences Between Versions10:19
In this lesson, we will compare the different versions of ChatGPT, highlighting the key differences and improvements made in each iteration.

ChatGPT 4 is more Accurate, less prone to “Hallucinations”
ChatGPT 3.5 was based on the GPT 3.5 engine, which received training on over 175 billion training parameters. ChatGPT 4 took this training one step further, and is purportedly trained on over a trillion parameters.
Differences in the ChatGPT-4 Interface5:33
In this lesson, we will examine the changes and enhancements specific to the ChatGPT-4 interface, focusing on user experience and functionality.

How does ChatGPT work?
ChatGPT works through its Generative Pre-trained Transformer, which uses specialized algorithms to find patterns within data sequences. ChatGPT originally used the GPT-3 large language model, a neural network machine learning model and the third generation of Generative Pre-trained Transformer. The transformer pulls from a significant amount of data to formulate a response.
ChatGPT's Endpoints5:00
In this lesson, we will dive into ChatGPT's endpoints, explaining how to effectively use them for various tasks, including generating text, answering questions, and more.

One such game-changer is the ChatGPT API endpoint, an innovative tool that empowers you to integrate the power of natural language processing into your applications. With the ChatGPT API endpoint, you can seamlessly generate human-like text, engage in captivating conversations, and even compose creative content.

ChatGPT's Secret to More Accurate Answers: Prompt2:22
In this lesson, we will uncover how crafting effective prompts can significantly enhance the accuracy and relevance of ChatGPT's responses.

A ChatGPT prompt is an input or query given to the model to generate a response. It serves as the guiding question or instruction that shapes the content of the generated text. Effective prompts are clear, concise, and provide sufficient context to elicit the desired response from ChatGPT.
Prompt Engineering Power: Lesson 19:26
In this lesson, we will delve into the first set of techniques and strategies for prompt engineering, focusing on maximizing the efficiency of your interactions with ChatGPT.

Prompt engineering is the art of crafting input messages or queries, known as prompts, to effectively communicate with ChatGPT. It involves experimenting with different prompts to guide the model and achieve desired responses or outputs.
Prompt Engineering Power: Lesson 25:00
In this lesson, we will explore advanced techniques in prompt engineering, building on the foundations laid in Lesson 1 to create even more powerful prompts.

What is a prompt?
A prompt is a natural language text that requests the generative AI to perform a specific task. Generative AI is an artificial intelligence solution that creates new content like stories, conversations, videos, images, and music. It's powered by very large machine learning (ML) models that use deep neural networks that have been pretrained on vast amounts of data.
Prompt Engineering Power: Lesson 33:53
In this lesson, we will continue our deep dive into prompt engineering, introducing complex scenarios and multi-layered prompts to extract detailed responses.

Why is prompt engineering important?
Prompt engineering jobs have increased significantly since the launch of generative AI. Prompt engineers bridge the gap between your end users and the large language model. They identify scripts and templates that your users can customize and complete to get the best result from the language models. These engineers experiment with different types of inputs to build a prompt library that application developers can reuse in different scenarios.
Prompt Engineering Power: Lesson 48:27
In this lesson, we will further refine our prompt engineering skills, focusing on precision and clarity to ensure the best possible outputs from ChatGPT.

What are some prompt engineering use cases?
Prompt engineering techniques are used in sophisticated AI systems to improve user experience with the learning language model. Here are some examples.
Summary of Prompt Engineering Fundamentals8:58
In this lesson, we will summarize the key principles and strategies of prompt engineering, providing a comprehensive overview for easy reference.

What is prompt engineering?
Prompt engineering is the process where you guide generative artificial intelligence (generative AI) solutions to generate desired outputs. Even though generative AI attempts to mimic humans, it requires detailed instructions to create high-quality and relevant output. In prompt engineering, you choose the most appropriate formats, phrases, words, and symbols that guide the AI to interact with your users more meaningfully. Prompt engineers use creativity plus trial and error to create a collection of input texts, so an application's generative AI works as expected.
Prompt Engineering: Sample Prompts13:34
In this lesson, we will review a variety of sample prompts, demonstrating the practical application of prompt engineering techniques in different contexts.

What is a prompt?
A prompt is a natural language text that requests the generative AI to perform a specific task. Generative AI is an artificial intelligence solution that creates new content like stories, conversations, videos, images, and music. It's powered by very large machine learning (ML) models that use deep neural networks that have been pretrained on vast amounts of data.

Best Questions in Prompt Engineering: Lesson 110:30
In this lesson, we will explore the most effective questions to ask in prompt engineering, starting with foundational techniques to guide AI responses.
Best Questions in Prompt Engineering: Lesson 210:13
In this lesson, we will continue our exploration of best questions in prompt engineering, focusing on how to frame queries to elicit precise and relevant answers.
Best Questions in Prompt Engineering: Lesson 39:19
In this lesson, we will delve deeper into crafting strategic questions in prompt engineering, enhancing the depth and detail of AI-generated content.
Best Questions in Prompt Engineering: Lesson 48:48
In this lesson, we will further refine our question-asking techniques, emphasizing clarity and context to improve the quality of ChatGPT's outputs.
Best Questions in Prompt Engineering: Lesson 54:12
In this lesson, we will conclude our exploration of best questions with advanced strategies for complex prompt engineering scenarios.
Summary of the Best Questions in Prompt Engineering2:52
In this lesson, we will summarize the key insights and strategies for asking the best questions in prompt engineering, providing a comprehensive overview.
Reinforcing the topic through a scenario11:32
In this lesson, we will reinforce the concepts learned by applying them in a practical scenario, demonstrating the impact of well-crafted questions on AI interactions.

Drawing a Roadmap to the Prompt2:48
In this lesson, we will outline the steps to effectively construct a roadmap for creating precise and effective prompts, ensuring clarity and direction in AI interactions.
Directed Writing Request6:57
In this lesson, we will focus on the technique of Directed Writing Requests, exploring how to guide ChatGPT to produce content that meets specific needs and criteria.
Clear Explanation Method4:53
In this lesson, we will delve into the Clear Explanation Method, a strategy to enhance the clarity and comprehensiveness of AI-generated responses.
Example-Based Learning12:55
In this lesson, we will explore Example-Based Learning, showing how providing examples can significantly improve the quality and relevance of AI outputs.
RGC(Role, Goals, Context)5:52
In this lesson, we will introduce the RGC framework (Role, Goals, Context), a structured approach to crafting prompts that align with specific roles, objectives, and contextual needs.

Constrained Responses2:49
In this lesson, we will explore techniques for constraining responses in ChatGPT, ensuring that the output stays within desired boundaries and relevance.
Adding Visual Appeal3:04
In this lesson, we will examine how to enhance the visual appeal of responses, focusing on formatting, structure, and presentation for better readability and engagement.
Prompt Updates Lesson 16:29
In this lesson, we will continue exploring prompt updates, focusing on refining strategies to improve clarity and precision in AI responses.
Prompt Updates Lesson 29:57
In this lesson, we will delve into advanced updates in prompt engineering, introducing more complex scenarios and multi-layered prompts.
Prompt Updates Lesson 37:44
In this lesson, we will finalize our exploration of prompt updates, summarizing key improvements and best practices for optimal AI interactions.
Prompt Updates Lesson 46:58
In this lesson, we will cover the first set of updates to prompt engineering, incorporating new methods and techniques for more effective AI interactions.

ChatGPT-Google Extension3:01
In this lesson, we will explore the ChatGPT-Google extension, learning how to integrate and use it to enhance your browsing experience.
Email Writing2:39
In this lesson, we will focus on the art of email writing using ChatGPT, covering tips and techniques to craft effective and professional emails.
Summarizing YouTube Videos4:35
In this lesson, we will delve into summarizing YouTube videos with ChatGPT, learning how to extract key points and create concise summaries.
Talk to ChatGPT4:44
In this lesson, we will discuss how to effectively communicate with ChatGPT, maximizing its capabilities for productive and meaningful conversations.
Quick Access to ChatGPT1:45
In this lesson, we will learn how to quickly access ChatGPT, utilizing shortcuts and methods to streamline your workflow.
Dive Into Websites3:43
In this lesson, we will explore how to dive into websites using ChatGPT, extracting valuable information and insights efficiently.
Get Prompt Assistance5:41
In this lesson, we will focus on getting prompt assistance from ChatGPT, ensuring that you can quickly and accurately receive the help you need for various tasks.

Using the ChatGPT API4:19
In this lesson, we will explore how to use the ChatGPT API, enabling integration with other applications and automating tasks using AI.
File Reading5:24
In this lesson, we will focus on file reading with ChatGPT, learning how to extract and analyze information from various types of files.
Visual Reading3:48
In this lesson, we will delve into visual reading, teaching ChatGPT to interpret and summarize visual content effectively.
Visual Generation (DALL-E Introduction)6:47
In this lesson, we will introduce DALL-E for visual generation, covering the basics of creating images from text prompts.
Enhancing Images with DALL-E7:23
In this lesson, we will enhance images using DALL-E, focusing on refining visual outputs to match specific requirements.
Improving Visuals Through Ready-Made Prompts6:26
In this lesson, we will explore how to improve visuals through the use of ready-made prompts, streamlining the process of generating high-quality images.
Combining Images3:20
In this lesson, we will learn techniques for combining images, creating composite visuals that convey more complex ideas.
A Helper Site for Visual Prompts7:21
In this lesson, we will introduce a helper site for visual prompts, a resource that provides inspiration and examples for effective visual creation.
GPTs5:56
In this lesson, we will discuss GPTs, exploring their functionalities and how they can be tailored to specific tasks.
Create Your Own GPT6:16
In this lesson, we will guide you through the process of creating your own GPT, customizing its behavior and output to meet your needs.
Useful GPTs: Lesson 16:05
In this lesson, we will cover useful GPTs, focusing on the first set of applications that can enhance productivity and creativity.
Useful GPTs: Lesson 26:36
In this lesson, we will continue exploring useful GPTs, introducing more advanced applications and their practical uses.
Useful GPTs: Lesson 35:39
In this lesson, we will finalize our exploration of useful GPTs, summarizing key tools and techniques for maximizing their potential.

Big News: Introducing ChatGPT-4o4:54
In this lesson, we will introduce ChatGPT-4o, highlighting the latest features and improvements in this version.
How to Use ChatGPT-4o?5:52
In this lesson, we will guide you on how to effectively use ChatGPT-4o, covering key functionalities and best practices.
Chronological Development of ChatGPT5:20
In this lesson, we will explore the chronological development of ChatGPT, tracing its evolution from earlier versions to the current ChatGPT-4o.
What Are the Capabilities of ChatGPT-4o?4:32
In this lesson, we will examine the capabilities of ChatGPT-4o, showcasing its strengths and unique features that set it apart from previous iterations.
As an App: ChatGPT3:18
In this lesson, we will discuss the ChatGPT app, exploring how it functions as a mobile application and its advantages for on-the-go use.
Voice Communication with ChatGPT-4o4:50
In this lesson, we will focus on voice communication with ChatGPT-4o, demonstrating how to interact with the AI using spoken language.
Instant Translation in 50+ Languages3:03
In this lesson, we will explore the instant translation feature in ChatGPT-4o, which supports over 50 languages, making it a powerful tool for global communication.
Interview Preparation with ChatGPT-4o18:06
Visual Commentary with ChatGPT-4o: Lesson 14:19
In this lesson, we will begin a series on visual commentary using ChatGPT-4o, exploring how to create and analyze visual content effectively.
Visual Commentary with ChatGPT-4o: Lesson 24:56
In this lesson, we will continue our exploration of visual commentary with ChatGPT-4o, delving deeper into techniques for enhancing visual presentations.

Important Announcement0:56
In this lesson, we will introduce key updates related to ChatGPT, highlighting major improvements, new capabilities, and what users need to know to navigate recent changes.
ChatGPT Latest Updates – Free Version Interface Review3:38
In this lesson, we will explore the current interface of the free version of ChatGPT, focusing on layout, limitations, and available features to help users get the most out of their experience.
ChatGPT Latest Updates – Paid Version Interface Review6:52
In this lesson, we will review the updated interface of the paid version of ChatGPT, highlighting exclusive tools, advanced capabilities, and how it differs from the free version.
Chatgpt 4o Model3:40
In this section, we will explore the features of the ChatGPT 4o model, including its capabilities in multimodal tasks (text, image, and voice), performance improvements, and how it compares to previous models.
Chatgpt 4o with scheduled task & 4.5 model4:03
In this lesson, we will explore how to use scheduled tasks with ChatGPT 4o and introduce the 4.5 model, comparing their use cases, strengths, and ideal application scenarios.
ChatGPT o1 & o3 & o3 mini model5:47
In this lesson, we will examine the o1, o3, and o3 mini models of ChatGPT, discussing their unique capabilities, limitations, and when to choose each for specific tasks.
ChatGPT – Other Models10:35
In this lesson, we will provide an overview of other available ChatGPT models, explaining their differences in performance, memory, speed, and usage contexts.
ChatGPT Canvas10:00
In this lesson, we will introduce the ChatGPT Canvas feature, showing how to create interactive documents and code collaboratively using this advanced workspace.
ChatGPT – Search & Deep Research8:37
In this lesson, we will explore ChatGPT's Search and Deep Research capabilities, demonstrating how it can fetch real-time information, analyze sources, and support research-driven tasks.

Requirements

A working computer (Windows, Mac, or Linux)
Motivation to learn the the second largest number of job postings relative AI among all others
Desire to learn AI & ChatGPT
Curiosity for Artificial Intelligence
Nothing else! It’s just you, your computer and your ambition to get started today

Description

Welcome to my "Generative AI and ChatGPT Master Course with 20 AI Tools" course.

ChatGPT and AI | Learn Prompt Engineering, LLM and ChatGPT, Practice with 20 AI Tools and Master Generative AI skills

Artificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In this comprehensive course, you will dive deep into the world of AI through hands-on experience with 20 cutting-edge tools, including the revolutionary ChatGPT.

This course is designed for learners of all levels who are eager to enhance their skills in AI and prompt engineering. Whether you're a beginner looking to understand the fundamentals or a seasoned professional seeking to refine your expertise, this course offers valuable insights and practical knowledge to help you achieve your goals.

What you will learn?

In this course, we will start from the very beginning and guide you through a comprehensive journey of mastering AI with hands-on experience using 20 different tools. We will begin by introducing the foundational concepts of Artificial Intelligence and how they apply to real-world scenarios. Here's what you'll learn:

What is Artificial Intelligence?
Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
Artificial Super Intelligence (ASI)
Subsets of Artificial Intelligence - Machine Learning
Subsets of Artificial Intelligence - Deep Learning
Machine Learning vs. Deep Learning
Machine Learning Study with a Real Example
Large Language Models(LLM)
Natural Language Processing(NLP)
A Warning Before Switching to ChatGPT
Revolutionary of the Era: OpenAI
The Revolution of the Age: Creating a ChatGPT Account
Let's Get to Know the ChatGPT Interface
ChatGPT: Differences Between Versions
Differences in the ChatGPT-4 Interface
ChatGPT's Endpoints
ChatGPT's Secret to More Accurate Answers: Prompt
Prompt Engineering Power
Summary of Prompt Engineering Fundamentals
Prompt Engineering: Sample Prompts
Best Questions in Prompt Engineering
Summary of the Best Questions in Prompt Engineering
Reinforcing the topic through a scenario
Drawing a Roadmap to the Prompt
Directed Writing Request
Clear Explanation Method
Example-Based Learning
RGC(Role, Goals, Context)
Constrained Responses
Adding Visual Appeal
Prompt Updates
ChatGPT-Google Extension
Email Writing
Summarizing YouTube Videos
Talk to ChatGPT
Quick Access to ChatGPT
Dive Into Websites
Get Prompt Assistance
Using the ChatGPT API
File Reading
Visual Reading
Visual Generation (DALL-E Introduction)
Enhancing Images with DALL-E
Improving Visuals Through Ready-Made Prompts
Combining Images
A Helper Site for Visual Prompts
GPTs
Create Your Own GPT
Useful GPTs
Big News: Introducing ChatGPT-4o
How to Use ChatGPT-4o?
Chronological Development of ChatGPT
What Are the Capabilities of ChatGPT-4o?
As an App: ChatGPT
Voice Communication with ChatGPT-4o
Instant Translation in 50+ Languages
Interview Preparation with ChatGPT-4o
Visual Commentary with ChatGPT-4o

Setting Up Your AI Lab: Learn how to set up your environment and install the necessary software and tools to get started with AI and prompt engineering.
Understanding AI Fundamentals: Delve into the core concepts of Artificial Intelligence, including Machine Learning, Deep Learning, and Natural Language Processing, to build a solid foundation.
Exploring ChatGPT: Get hands-on with ChatGPT, understanding its setup, interface, and the key differences between its various versions, including the latest innovations.
Mastering Prompt Engineering: Discover the art and science of prompt engineering with practical techniques and examples that will help you craft precise and powerful prompts.
Advanced AI Techniques: Learn advanced strategies such as constrained responses, visual generation, and integrating AI-powered tools for enhancing communication and creativity.
Utilizing 20 AI Tools: Gain practical experience with 20 cutting-edge AI tools that will equip you with the skills to tackle complex challenges and develop innovative solutions.
Real-World Applications: Apply what you've learned through real-world examples and projects that will prepare you to use AI effectively in your career.
The foundational concepts of AI and its subsets, including Machine Learning, Deep Learning, and Natural Language Processing.
Hands-on experience with 20 different AI tools, each with its own unique capabilities and applications.
Mastery of ChatGPT, including its setup, interface, and the differences between its various versions.
The art of prompt engineering, with practical examples and exercises to refine your skills.
Advanced techniques in AI, such as constrained responses, visual generation, and the use of AI-powered extensions.
How to unleash the full potential of ChatGPT for tasks like summarizing content, generating visuals, and enhancing communication.

By the end of this course, you will have a deep understanding of AI principles and practical experience with the tools and techniques that are driving the future of technology.

Why This Course?

Artificial Intelligence is no longer a concept of the future; it's here, and it's shaping industries across the globe. This course is your gateway to mastering AI with practical tools that are used by professionals in real-world applications. You'll learn how to leverage AI for various purposes, from data analysis to natural language processing, all while gaining hands-on experience with tools that are at the forefront of AI technology.

Throughout the course, you will explore key concepts of AI, such as Machine Learning, Deep Learning, and Large Language Models (LLMs), and see how they apply to real-world scenarios. You will also gain an in-depth understanding of ChatGPT and its different versions, along with techniques to enhance your prompt engineering skills.

Who Is This Course For?

This course is for everyone! Whether you have no prior experience or you're already familiar with AI, this course is expertly designed to teach you from the basics to advanced concepts. By the end of this course, you will be able to confidently apply AI tools and prompt engineering techniques to solve complex problems and create innovative solutions.

Why Mastering AI?

AI is one of the most sought-after skills in today's job market, and mastering it can open doors to numerous career opportunities. With the practical knowledge and skills you'll gain in this course, you'll be well-equipped to tackle challenges in industries such as technology, finance, healthcare, and more.

Course Features:

Lifetime access to all course materials, including updates and new content.
High-quality video and audio production to ensure a clear and engaging learning experience.
Fast and friendly support in the Q&A section to help you with any questions or challenges you may face.
Udemy Certificate of Completion, ready for download upon finishing the course.

Video and Audio Production Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

You will be,

Seeing clearly
Hearing clearly
Moving through the course without distractions

You'll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

Dive in now!

We offer full support, answering any questions.

Dive in now! Take the first step towards becoming an AI expert with this comprehensive course. We offer full support and are ready to answer any questions you may have along the way.

See you in the "Generative AI and ChatGPT Master Course with 20 AI Tools" course!

ChatGPT and AI | Learn Prompt Engineering, LLM and ChatGPT, Practice with 20 AI Tools and Master Generative AI skills

Who this course is for:

Anyone who wants to start learning AI & ChatGPT
Anyone who needs a complete guide on how to start and continue their career with AI & Prompt Engineering
And also, who want to learn how to develop Prompt Engineering

Generative AI and ChatGPT Master Course with 20 AI Tools

What you'll learn

Explore related topics

Course content

Artificial Intelligence: Concepts, Subsets, and Real-World Examples11 lectures • 51min

Exploring ChatGPT: Setup, Versions, and Endpoints7 lectures • 46min

The Art of Prompt Engineering: Techniques and Examples7 lectures • 52min

Critical Questions in Prompt Engineering: A Deep Dive7 lectures • 57min

Effective Techniques for Crafting Prompts5 lectures • 33min

Prompt Strengthening Efforts6 lectures • 37min

Useful extensions with ChatGPT7 lectures • 26min

ChatGPT Capabilities13 lectures • 1hr 15min

ChatGPT-4o Unleashed: Innovations in Communication and Learning10 lectures • 59min

ChatGPT – Updated User Guide and Model Overview9 lectures • 54min

Requirements

Description

Who this course is for: