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Chris Haroun | 1.4 Million Students | #1 Best Selling Business & Finance Prof. and Luka Anicin

Free 357 book version of the course included. This course is designed to provide all students with a comprehensive understanding of Artificial Intelligence (AI) technology from scratch and how AI can be leveraged to achieve business and career goals in all industries. You will learn about the many AI based applications and how to identify potential opportunities for implementation in your own organization or to take your career to the next level.

AI applications/topics that we will discuss in this comprehensive course include:

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Free 357 book version of the course included. This course is designed to provide all students with a comprehensive understanding of Artificial Intelligence (AI) technology from scratch and how AI can be leveraged to achieve business and career goals in all industries. You will learn about the many AI based applications and how to identify potential opportunities for implementation in your own organization or to take your career to the next level.

AI applications/topics that we will discuss in this comprehensive course include:

  • ChatGPT & the new ChatGPT Plugins feature from scratch, so you can accomplish so much more with ChatGPT.

  • Google's Bard

  • Microsoft's Bing Chat

  • Image AI products like DALL-E, and Midjourney

  • Voice and Video Cloning + Avatars

  • Machine Learning

  • How to use Microsoft Excel with Machine Learning

  • You will also learn A LOT about AI business strategy, ethical considerations of AI and how to address them, as well as the potential risks and challenges associated with AI implementation.

Here are the 16 sections in this comprehensive Artificial Intelligence & ChatGPT Course: 

  • Section 1: Course Introduction and How to Take this Comprehensive A.I. & Chat GPT Course

  • Section 2: Intro. to Artificial Intelligence (Machine + Deep Learning & More)

  • Section 3: ChatGPT

  • Section 4: ChatGPT Plugins

  • Section 5: Alternatives to ChatGPT (Bard & Bing)

  • Section 6: How to Use Excel and Machine Learning

  • Section 7: Images and AI (DALL-E, MidJourney)

  • Section 8: Voice, Avatars and Cloning

  • Section 9: Other AI Applications (Ralph AI, ChatBase, Auto GPT and More)

  • Section 10: Using AI for Business Decisions

  • Section 11: Additional Risks and Ethics with AI

  • Section 12: Using AI in Different Industries

  • Section 13: Machine Learning Project Lifecycle

  • Section 14: The Future of AI

  • Section 15: OpenAI API (Application Programming Interface)

  • Section 16: Conclusion and Additional AI Topics

Course Requirements:

  • No prior knowledge of Artificial Intelligence (AI) or any technical concepts are required, except in the optional Section 15 where we discuss OpenAI and APIs (Application Programming Interfaces)

How to Take the Course

As explained in the first lecture, there are 3 ways to take this comprehensive course by taking the A, B or C track as follows: 

The A for All Track is for students that want to learn everything about AI from scratch.

The B for Basics Track is for students that want to only learn the basics of AI.

The C for ChatGPT Track is for students that want to only learn about ChatGPT and the new incredible ChatGPT Plugins feature.

Before all of the many lectures and exercises in this comprehensive course, are the letters A, B and C, to help you navigate how you want to take this complete Artificial Intelligence course.

Thanks.

Chris Haroun and Luka Anicin

Enroll now

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What's inside

Learning objectives

  • Learn how to use chatgpt from scratch, including more than 1,000 prompts we designed
  • Learn how to use chatgpt's new plugins feature so you can accomplish much more with chatgpt
  • Learn how to use chatgpt alternatives like microsoft bing chat and google bard
  • Free 357 page book version of the course included
  • Learn how to create incredible images using ai products dall-e and midjourney
  • Learn how to use many additional ai products, including voice based, avatars, music video ai and much more
  • Learn how to use microsoft excel to do machine learning, which is a component of ai
  • Gain a comprehensive understanding of artificial intelligence (ai) technology and its applications in business in all industries
  • Understand the potential benefits and limitations of ai implementation
  • Develop the ability to identify opportunities for ai implementation in your own organization
  • Understand the ethical considerations of ai and how to address them
  • Understand the potential risks and challenges associated with ai implementation
  • Learn how to manage ai projects and teams
  • Understand the future potential of ai and its impact on business
  • Show more
  • Show less

Syllabus

Course Introduction and How to Take this Comprehensive A.I. & Chat GPT Course
Welcome & How to Take the Course: ChatGPT & MANY More A.I. Topics
Read more
Section 2: Intro. to Artificial Intelligence (Machine + Deep Learning & More)
[A/B] Introduction to AI (What, Why and How of Section 2)
[A/B/C] 3 Categories of AI: Narrow (ANI), General (AGI) & Super (ASI)
[A/B] A.I. vs Machine Learning vs. Deep Learning
[A/B] Exercise on Machine Learning & Netflix
[A] Supervised & Unsupervised Machine Learning + Reinforcement Learning
[A] Exercise on Machine Learning Clustering
[A/B] Computer Vision (Using Tesla as an Example)
[A/B] Exercise on Computer Vision
[A] Natural Language Processing (NLP) and NLP Applications
[A/B] AI Hardware and Infrastructure: Enabling Scalable and Affordable AI
[A] AutoML and Transfer Learning
[A/B] AI's Role in Different Industries, Government and Society
[A/B] Challenges and Limitations of AI
[A/B] Job Positions in the Data World
[A] Quiz on Introduction to Artificial Intelligence
Section 3: ChatGPT
[A/B/C] Introduction to ChatGPT (What, Why and How of Section 3)
[A/B/C] Introduction to Prompt Engineering (Basic and Advanced Prompts)
[A/B/C] ChatGPT User Interface and Account Setup
[A/B/C] Important Problems/Issues with Using ChatGPT
[A/B/C] Your First Prompt Exercise - Directional Prompting
[A/B/C] Role Playing
[A/B/C] Few-Shot Prompting
[A/B/C] Putting It All Together & Ask Me If Needed Technique
[A/B/C] Now You Try! (Exercise)
[A/B/C] Exercise Solution
[A/C] Chain of Thought Prompting
[A/C] In Style of Prompting
[A/C] Structuring Your Data & Using Tables
[A/B/C] Text Summarization
[A/C] Text Classification
[A/C] Coding Generation
[A/C] ChatGPT Hacking
[A/C] Additional ChatGPT Tips
[A/C] Large Language Models [Optional Lecture]
[A/C] How Computers Understand Text [Optional Lecture]
[A/C] What Happens When ChatGPT Receives a Prompt? [Optional Lecture]
Section 4: ChatGPT Plugins
[A/C] Introduction to ChatGPT Plugins (What, Why and How of Section 4)
[A/C] What are ChatGPT Plugins and How to Get Them
[A/C] Optional Text Lecture: What to do if You Can't Find the Zillow Plugin
[A/C] Browsing with ChatGPT
[A/C] Wolfram Plugin for ChatGPT
[A/C] Exercise on Wolfram Plugin for ChatGPT
[A/C] edX Plugin for ChatGPT
[A/C] Exercise on edX Plugin
[A/C] KAYAK Plugin for ChatGPT
[A/C] Exercise on KAYAK Plugin
[A/C] Zillow Plugin for ChatGPT
[A/C] Exercise on Zillow Plugin
[A/C] Podcast Search Plugin for ChatGPT
Section 5: Alternatives to ChatGPT (Bard & Bing)
[A/C] Introduction to ChatGPT Alternatives (What, Why and How of Section 5)
[A/C] Bard by Google
[A/C] Exercise on Using Bard
[A/C] Bing Chat by Microsoft
S5L5 [A/C] Exercise on Using Bing Chat
Section 6: How to Use Excel and Machine Learning
[A/B] Intro to Using Excel and Machine Learning (What, Why and How of Section 6)
[A/B] Basic Linear Regression Analysis in Excel
[A/B] Exercise on Basic Regression Analysis in Excel
[A/B] Answer to Exercise on Basic Regression Analysis in Excel
[A] Advanced Regression Analysis in Excel Part 1
[A] Advanced Regression Analysis in Excel Part 2
[A] Advanced Regression Analysis in Excel Part 3
[A] Exercise on Advanced Regression Analysis in Excel
[A] Answer to Exercise on Advanced Regression Analysis in Excel
[A] Multiple Regression Analysis in Excel Part 1
[A] Multiple Regression Analysis in Excel Part 2
[A] Exercise on Multiple Regression Analysis in Excel
[A] Answer to Exercise on Multiple Regression Analysis in Excel
[A] Fixing Problems with Data
Section 7: Images and AI (DALL-E, Midjourney)
[A/B] Intro to Images & AI (What, Why and How of Section 7)
[A/B] Midjourney Account Setup
[A/B] Midjourney Interface Walkthrough and How to Use it
[A/B] Midjourney Good Prompting Practices
[A/B] Midjourney Image Prompting
[A/B] Exercise on Midjourney Image Prompting
[A/B] Answer to Exercise on Midjourney Image Prompting
[A] Midjourney Image Blending
[A] Midjourney Image Captioning (Meaning Description Feature)
[A] Midjourney Advanced Settings
[A] Midjourney Negative Prompting
[A] Midjourney Other Commands Aspect Ratios & More)
[A] Advanced Exercise on Midjourney
[A] Answer to Advanced Exercise on Midjourney
[A/B] DALL-E 2: Account Setup and Interface Walkthrough
[A/B] DALL-E 2: Prompt Designs
[A/B] Exercise on DALL-E 2
[A/B] Answer to Exercise on DALL-E 2
[A] DALL-E 2: Editing Images & Outpainting
[A] DALL-E 2: Image Inpainting
[A] Advanced Exercise on DALL-E 2
[A] Answer to Advanced Exercise on DALL-E 2
Section 8: Voice, Avatars and Cloning
[A/B] Intro to Voice, Avatars & Cloning (What, Why and How of Section 8)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a comprehensive overview of Artificial Intelligence (AI) technology and its applications across various industries
Taught by Chris Haroun, a best-selling business and finance professor, and Luka Anicin, an expert in AI
Develops a strong understanding of AI concepts, machine learning, deep learning, and natural language processing
Covers the latest AI applications, including ChatGPT, Bing Chat, and image AI products like DALL-E and Midjourney
Includes hands-on exercises and practical examples to reinforce learning
Provides ethical considerations and potential risks associated with AI implementation

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Complete Artificial Intelligence and ChatGPT Course with these activities:
Review AI course supplemental reading
Review a technical course supplemental reading to refresh your memory and prepare for the course.
Show steps
  • Purchase or obtain the book.
  • Read the first two chapters of the book to review core topics and concepts that will be covered in the course.
  • If desired, attempt the exercises at the end of the book's chapters to test your understanding of the core concepts.
Attend AI meetups and conferences
Connect with peers, industry professionals, and experts in the field of AI to expand your knowledge and network.
Show steps
  • Find and attend AI meetups and conferences in your area.
  • Network with other attendees and learn about their experiences and insights in AI.
  • Attend presentations and workshops to learn about the latest advancements in AI.
Follow tutorials on using AI for image generation
Expand your knowledge of AI applications by exploring tutorials that demonstrate how to use AI to generate images.
Show steps
  • Find tutorials on using AI for image generation.
  • Follow the tutorials to learn how to use different AI tools and techniques for image generation.
  • Experiment with different prompts and settings to create your own unique images.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a tutorial on using AI for business
Enhance your understanding of AI applications in business by creating a guide that explains the benefits and use cases of AI to non-technical audiences.
Show steps
  • Research and gather information on the benefits and applications of AI in business.
  • Choose a specific industry or business function to focus on.
  • Develop a storyboard or outline for your tutorial.
  • Create your tutorial in a written, video, or interactive format.
  • Share your tutorial with others and gather feedback.
Practice using ChatGPT to solve coding problems
Improve your problem-solving skills and understanding of ChatGPT's capabilities by using it to tackle coding challenges.
Show steps
  • Find a collection of coding problems or exercises online.
  • Use ChatGPT to help you solve the problems.
  • Compare your solutions with those provided by ChatGPT and identify areas for improvement.
Build a ChatGPT plugin
Solidify your understanding of ChatGPT's capabilities by developing a plugin that extends its functionality.
Show steps
  • Identify a problem or task that you would like to solve or automate using ChatGPT.
  • Research and learn about ChatGPT's API and how to create plugins.
  • Develop a prototype of your plugin and test its functionality.
  • Refine and improve your plugin based on testing results.
  • Publish and share your plugin with the community.
Volunteer with an AI non-profit organization
Combine your passion for AI with community service by volunteering your skills to an organization that uses AI to make a positive impact.
Show steps
  • Find an AI non-profit organization that aligns with your interests.
  • Contact the organization and inquire about volunteer opportunities.
  • Participate in projects and initiatives that leverage AI for social good.
Participate in an AI hackathon
Challenge yourself and test your skills by participating in an AI hackathon to develop innovative AI solutions.
Show steps
  • Find and register for an AI hackathon.
  • Form a team or work individually on a project.
  • Develop an AI solution to address a specific problem or challenge.
  • Present your solution to a panel of judges.
  • Get feedback and learn from other participants.

Career center

Learners who complete The Complete Artificial Intelligence and ChatGPT Course will develop knowledge and skills that may be useful to these careers:
AI Engineer
AI Engineers design, develop, and maintain AI systems. The Complete Artificial Intelligence and ChatGPT Course provides a comprehensive understanding of AI technologies and their applications across various industries. Through hands-on exercises and insights into ChatGPT's capabilities, learners gain proficiency in prompt engineering, plugin integration, and AI-based image and voice generation. The course covers ethical considerations and challenges in AI, equipping learners to build and deploy AI systems responsibly.
Machine Learning Engineer
Machine Learning Engineers apply machine learning algorithms to solve complex problems. The Complete Artificial Intelligence and ChatGPT Course offers a solid foundation in machine learning concepts and techniques. Learners explore supervised and unsupervised learning, computer vision, and natural language processing, gaining practical skills through hands-on exercises. ChatGPT's capabilities in coding generation can assist Machine Learning Engineers in automating tasks and improving model development efficiency. Additionally, the course covers AI ethics and challenges, ensuring responsible implementation of machine learning solutions.
Data Scientist
Data Scientists combine statistical and programming skills to extract insights from data. The Complete Artificial Intelligence and ChatGPT Course enhances a Data Scientist's toolkit by introducing AI technologies and ChatGPT's capabilities. Learners gain proficiency in data analysis, machine learning, and natural language processing, empowering them to uncover hidden patterns and make informed decisions. ChatGPT's ability to generate code, summarize text, and perform text classification can significantly accelerate data exploration and modeling processes.
Data Analyst
A Data Analyst's role is to collect, clean, and interpret data to support decision-making. The Complete Artificial Intelligence and ChatGPT Course offers practical knowledge of AI and ChatGPT that can be instrumental for Data Analysts. ChatGPT's capabilities in text summarization, classification, and coding generation can streamline data analysis processes, while the course's coverage of AI fundamentals, including machine learning and natural language processing, provides a solid foundation for understanding data patterns and trends. Furthermore, the course delves into ethical considerations and challenges associated with AI implementation, which is crucial for responsible data analysis.
Software Engineer
Software Engineers design, develop, and maintain software applications. The Complete Artificial Intelligence and ChatGPT Course equips Software Engineers with AI knowledge and ChatGPT proficiency, enabling them to build more intelligent and efficient software systems. Through hands-on exercises, learners explore AI-powered coding generation, text summarization, and classification. The course also covers ethical considerations and challenges in AI, empowering Software Engineers to develop responsible and innovative solutions.
Product Manager
Product Managers define and oversee the development of technology products. The Complete Artificial Intelligence and ChatGPT Course provides Product Managers with a comprehensive understanding of AI technologies and their potential impact on product development. Learners gain insights into AI-powered features, ethical considerations, and market trends, enabling them to make informed decisions and create innovative products that meet evolving customer needs.
Business Analyst
Business Analysts identify and solve business problems using data and analysis. The Complete Artificial Intelligence and ChatGPT Course empowers Business Analysts with AI knowledge and skills, enabling them to leverage AI technologies for improved decision-making. Learners gain proficiency in data analysis, machine learning, and natural language processing, and explore AI applications across various industries. ChatGPT's capabilities in text summarization, classification, and code generation can streamline business analysis processes and enhance problem-solving.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products or services. The Complete Artificial Intelligence and ChatGPT Course provides Marketing Managers with AI knowledge and skills, equipping them to harness AI technologies for more effective marketing strategies. Learners explore AI-powered content generation, audience segmentation, and campaign optimization, gaining practical experience through hands-on exercises. ChatGPT's capabilities in text summarization, classification, and code generation can enhance marketing efforts and drive better results.
Consultant
Consultants provide expert advice and solutions to businesses. The Complete Artificial Intelligence and ChatGPT Course equips Consultants with AI knowledge and skills, enabling them to offer AI-driven consulting services. Learners gain proficiency in AI applications across various industries, ethical considerations, and market trends, empowering them to provide strategic guidance and innovative solutions to clients seeking to leverage AI technologies.
Technical Writer
Technical Writers create documentation and instructions for software products. The Complete Artificial Intelligence and ChatGPT Course provides Technical Writers with AI knowledge and skills, enabling them to incorporate AI technologies into their writing. Learners explore AI-powered content generation, editing, and translation, gaining practical experience through hands-on exercises. ChatGPT's capabilities in text summarization, classification, and code generation can enhance technical writing processes and improve documentation quality.
UX Designer
UX Designers create user-friendly and intuitive interfaces for software products. The Complete Artificial Intelligence and ChatGPT Course provides UX Designers with AI knowledge and skills, enabling them to incorporate AI technologies into UX design. Learners explore AI-powered user research, prototyping, and testing, gaining practical experience through hands-on exercises. ChatGPT's capabilities in text summarization, classification, and code generation can enhance UX design processes and improve user experiences.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. The Complete Artificial Intelligence and ChatGPT Course provides Quantitative Analysts with AI knowledge and skills, enabling them to leverage AI technologies for more advanced financial analysis. Learners explore AI-powered data analysis, machine learning, and optimization techniques, gaining practical experience through hands-on exercises. ChatGPT's capabilities in coding generation and text summarization can enhance financial modeling processes and improve investment decision-making.
Project Manager
Project Managers plan, execute, and control projects to achieve specific objectives. The Complete Artificial Intelligence and ChatGPT Course provides Project Managers with AI knowledge and skills, enabling them to leverage AI technologies for more efficient project management. Learners explore AI-powered project planning, scheduling, and risk management, gaining practical experience through hands-on exercises. ChatGPT's capabilities in text summarization, classification, and code generation can enhance project communication, stakeholder management, and decision-making.
Data Engineer
Data Engineers design, build, and maintain data pipelines to support data analysis and machine learning. The Complete Artificial Intelligence and ChatGPT Course provides Data Engineers with AI knowledge and skills, enabling them to leverage AI technologies for more efficient data management. Learners explore AI-powered data integration, transformation, and quality control, gaining practical experience through hands-on exercises. ChatGPT's capabilities in coding generation and text summarization can enhance data engineering processes and improve data quality.
Cybersecurity Analyst
Cybersecurity Analysts protect computer systems and networks from unauthorized access and attacks. The Complete Artificial Intelligence and ChatGPT Course provides Cybersecurity Analysts with AI knowledge and skills, enabling them to leverage AI technologies for more effective cybersecurity measures. Learners explore AI-powered threat detection, intrusion prevention, and incident response, gaining practical experience through hands-on exercises. ChatGPT's capabilities in text summarization, classification, and code generation can enhance cybersecurity analysis and improve threat detection capabilities.
Financial Analyst
Financial Analysts evaluate and make recommendations on investments. The Complete Artificial Intelligence and ChatGPT Course provides Financial Analysts with AI knowledge and skills, enabling them to leverage AI technologies for more accurate financial analysis. Learners explore AI-powered financial modeling, data analysis, and risk assessment, gaining practical experience through hands-on exercises. ChatGPT's capabilities in coding generation and text summarization can enhance financial forecasting and improve investment decision-making.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Complete Artificial Intelligence and ChatGPT Course.
Comprehensive guide to deep learning for natural language processing, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of deep learning for natural language processing.
Comprehensive guide to deep learning, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of deep learning.
Comprehensive guide to computer vision, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of computer vision.
Comprehensive guide to speech and language processing, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of speech and language processing.
Classic textbook on reinforcement learning, providing a comprehensive overview of the field. It valuable resource for anyone who wants to learn more about the foundations of reinforcement learning.
Classic textbook on statistical learning, providing a comprehensive overview of the field. It valuable resource for anyone who wants to learn more about the foundations of statistical learning.
Comprehensive guide to convex optimization, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of convex optimization.
Classic textbook on information theory, inference, and learning algorithms, providing a comprehensive overview of the field. It valuable resource for anyone who wants to learn more about the foundations of information theory, inference, and learning algorithms.
Comprehensive guide to probabilistic graphical models, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of probabilistic graphical models.
Comprehensive guide to Bayesian reasoning and machine learning, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of Bayesian reasoning and machine learning.
Comprehensive guide to machine learning from a probabilistic perspective, providing a detailed overview of the field. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of machine learning from a probabilistic perspective.
Practical guide to natural language processing, providing a step-by-step approach to building and training natural language processing models. It great resource for anyone who wants to learn more about the practical aspects of AI.

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