The Complete Artificial Intelligence and ChatGPT Course
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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ChatGPT & the new ChatGPT Plugins feature from scratch, so you can accomplish so much more with ChatGPT!
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Google’s Bard
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Microsoft’s Bing Chat
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Image AI products like DALL-E, and Midjourney
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Voice and Video Cloning + Avatars
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Machine Learning
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How to use Microsoft Excel with Machine Learning
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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:
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Section 1: Course Introduction and How to Take this Comprehensive A.I. & Chat GPT Course
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Section 2: Intro. to Artificial Intelligence (Machine + Deep Learning & More)
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Section 3: ChatGPT
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Section 4: ChatGPT Plugins
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Section 5: Alternatives to ChatGPT (Bard & Bing)
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Section 6: How to Use Excel and Machine Learning
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Section 7: Images and AI (DALL-E, MidJourney)
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Section 8: Voice, Avatars and Cloning
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Section 9: Other AI Applications (Ralph AI, ChatBase, Auto GPT and More)
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Section 10: Using AI for Business Decisions
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Section 11: Additional Risks and Ethics with AI
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Section 12: Using AI in Different Industries
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Section 13: Machine Learning Project Lifecycle
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Section 14: The Future of AI
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Section 15: OpenAI API (Application Programming Interface)
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Section 16: Conclusion and Additional AI Topics
Course Requirements:
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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
Section 2: Intro. to Artificial Intelligence (Machine + Deep Learning & More)
Section 3: ChatGPT
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2
[A/B] Introduction to AI (What, Why and How of Section 2) -
3
[A/B/C] 3 Categories of AI: Narrow (ANI), General (AGI) & Super (ASI)
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4
[A/B] A.I. vs Machine Learning vs. Deep Learning
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5
[A/B] Exercise on Machine Learning & Netflix
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6
[A] Supervised & Unsupervised Machine Learning + Reinforcement Learning
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7
[A] Exercise on Machine Learning Clustering
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8
[A/B] Computer Vision (Using Tesla as an Example)
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9
[A/B] Exercise on Computer Vision
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10
[A] Natural Language Processing (NLP) and NLP Applications
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11
[A/B] AI Hardware and Infrastructure: Enabling Scalable and Affordable AI
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12
[A] AutoML and Transfer Learning
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13
[A/B] AI's Role in Different Industries, Government and Society
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14
[A/B] Challenges and Limitations of AI
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15
[A/B] Job Positions in the Data World
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16
[A] Quiz on Introduction to Artificial Intelligence
Section 4: ChatGPT Plugins
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17
[A/B/C] Introduction to ChatGPT (What, Why and How of Section 3)
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18
[A/B/C] Introduction to Prompt Engineering (Basic and Advanced Prompts)
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19
[A/B/C] ChatGPT User Interface and Account Setup
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20
[A/B/C] Important Problems/Issues with Using ChatGPT
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21
[A/B/C] Your First Prompt Exercise - Directional Prompting
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22
[A/B/C] Role Playing
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23
[A/B/C] Few-Shot Prompting
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24
[A/B/C] Putting It All Together & Ask Me If Needed Technique
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25
[A/B/C] Now You Try! (Exercise)
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26
[A/B/C] Exercise Solution
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27
[A/C] Chain of Thought Prompting
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28
[A/C] In Style of Prompting
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29
[A/C] Structuring Your Data & Using Tables
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30
[A/B/C] Text Summarization
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31
[A/C] Text Classification
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32
[A/C] Coding Generation
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33
[A/C] ChatGPT Hacking
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34
[A/C] Additional ChatGPT Tips
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35
[A/C] Large Language Models [Optional Lecture]
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36
[A/C] How Computers Understand Text [Optional Lecture]
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37
[A/C] What Happens When ChatGPT Receives a Prompt? [Optional Lecture]
Section 5: Alternatives to ChatGPT (Bard & Bing)
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38
[A/C] Introduction to ChatGPT Plugins (What, Why and How of Section 4)
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39
[A/C] What are ChatGPT Plugins and How to Get Them
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40
[A/C] Optional Text Lecture: What to do if You Can't Find the Zillow Plugin -
41
[A/C] Browsing with ChatGPT
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42
[A/C] Wolfram Plugin for ChatGPT
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43
[A/C] Exercise on Wolfram Plugin for ChatGPT
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44
[A/C] edX Plugin for ChatGPT
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45
[A/C] Exercise on edX Plugin
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46
[A/C] KAYAK Plugin for ChatGPT
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47
[A/C] Exercise on KAYAK Plugin
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48
[A/C] Zillow Plugin for ChatGPT
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49
[A/C] Exercise on Zillow Plugin
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50
[A/C] Podcast Search Plugin for ChatGPT
Section 6: How to Use Excel and Machine Learning
Section 7: Images and AI (DALL-E, Midjourney)
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56
[A/B] Intro to Using Excel and Machine Learning (What, Why and How of Section 6)
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57
[A/B] Basic Linear Regression Analysis in Excel
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58
[A/B] Exercise on Basic Regression Analysis in Excel
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59
[A/B] Answer to Exercise on Basic Regression Analysis in Excel
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60
[A] Advanced Regression Analysis in Excel Part 1
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61
[A] Advanced Regression Analysis in Excel Part 2
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62
[A] Advanced Regression Analysis in Excel Part 3
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63
[A] Exercise on Advanced Regression Analysis in Excel
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64
[A] Answer to Exercise on Advanced Regression Analysis in Excel
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65
[A] Multiple Regression Analysis in Excel Part 1
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66
[A] Multiple Regression Analysis in Excel Part 2
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67
[A] Exercise on Multiple Regression Analysis in Excel
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68
[A] Answer to Exercise on Multiple Regression Analysis in Excel
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69
[A] Fixing Problems with Data
Section 8: Voice, Avatars and Cloning
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70
[A/B] Intro to Images & AI (What, Why and How of Section 7)
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71
[A/B] Midjourney Account Setup
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72
[A/B] Midjourney Interface Walkthrough and How to Use it
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73
[A/B] Midjourney Good Prompting Practices
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74
[A/B] Midjourney Image Prompting
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75
[A/B] Exercise on Midjourney Image Prompting
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76
[A/B] Answer to Exercise on Midjourney Image Prompting
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77
[A] Midjourney Image Blending
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78
[A] Midjourney Image Captioning (Meaning Description Feature)
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79
[A] Midjourney Advanced Settings
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80
[A] Midjourney Negative Prompting
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81
[A] Midjourney Other Commands Aspect Ratios & More)
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82
[A] Advanced Exercise on Midjourney
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83
[A] Answer to Advanced Exercise on Midjourney
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84
[A/B] DALL-E 2: Account Setup and Interface Walkthrough
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85
[A/B] DALL-E 2: Prompt Designs
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86
[A/B] Exercise on DALL-E 2
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87
[A/B] Answer to Exercise on DALL-E 2
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88
[A] DALL-E 2: Editing Images & Outpainting
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89
[A] DALL-E 2: Image Inpainting
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90
[A] Advanced Exercise on DALL-E 2
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91
[A] Answer to Advanced Exercise on DALL-E 2
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