The Complete Artificial Intelligence and ChatGPT Course
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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:
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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
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2[A/B] Introduction to AI (What, Why and How of Section 2)Видео урок
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3[A/B/C] 3 Categories of AI: Narrow (ANI), General (AGI) & Super (ASI)Видео урок
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4[A/B] A.I. vs Machine Learning vs. Deep LearningВидео урок
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5[A/B] Exercise on Machine Learning & NetflixВидео урок
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6[A] Supervised & Unsupervised Machine Learning + Reinforcement LearningВидео урок
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7[A] Exercise on Machine Learning ClusteringВидео урок
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8[A/B] Computer Vision (Using Tesla as an Example)Видео урок
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9[A/B] Exercise on Computer VisionВидео урок
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10[A] Natural Language Processing (NLP) and NLP ApplicationsВидео урок
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11[A/B] AI Hardware and Infrastructure: Enabling Scalable and Affordable AIВидео урок
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12[A] AutoML and Transfer LearningВидео урок
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13[A/B] AI's Role in Different Industries, Government and SocietyВидео урок
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14[A/B] Challenges and Limitations of AIВидео урок
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15[A/B] Job Positions in the Data WorldВидео урок
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16[A] Quiz on Introduction to Artificial IntelligenceТест
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17[A/B/C] Introduction to ChatGPT (What, Why and How of Section 3)Видео урок
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18[A/B/C] Introduction to Prompt Engineering (Basic and Advanced Prompts)Видео урок
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19[A/B/C] ChatGPT User Interface and Account SetupВидео урок
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20[A/B/C] Important Problems/Issues with Using ChatGPTВидео урок
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21[A/B/C] Your First Prompt Exercise - Directional PromptingВидео урок
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22[A/B/C] Role PlayingВидео урок
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23[A/B/C] Few-Shot PromptingВидео урок
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24[A/B/C] Putting It All Together & Ask Me If Needed TechniqueВидео урок
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25[A/B/C] Now You Try! (Exercise)Видео урок
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26[A/B/C] Exercise SolutionВидео урок
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27[A/C] Chain of Thought PromptingВидео урок
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28[A/C] In Style of PromptingВидео урок
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29[A/C] Structuring Your Data & Using TablesВидео урок
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30[A/B/C] Text SummarizationВидео урок
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31[A/C] Text ClassificationВидео урок
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32[A/C] Coding GenerationВидео урок
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33[A/C] ChatGPT HackingВидео урок
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34[A/C] Additional ChatGPT TipsВидео урок
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35[A/C] Large Language Models [Optional Lecture]Видео урок
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36[A/C] How Computers Understand Text [Optional Lecture]Видео урок
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37[A/C] What Happens When ChatGPT Receives a Prompt? [Optional Lecture]Видео урок
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38[A/C] Introduction to ChatGPT Plugins (What, Why and How of Section 4)Видео урок
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39[A/C] What are ChatGPT Plugins and How to Get ThemВидео урок
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40[A/C] Optional Text Lecture: What to do if You Can't Find the Zillow PluginТекст урока
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41[A/C] Browsing with ChatGPTВидео урок
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42[A/C] Wolfram Plugin for ChatGPTВидео урок
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43[A/C] Exercise on Wolfram Plugin for ChatGPTВидео урок
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44[A/C] edX Plugin for ChatGPTВидео урок
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45[A/C] Exercise on edX PluginВидео урок
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46[A/C] KAYAK Plugin for ChatGPTВидео урок
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47[A/C] Exercise on KAYAK PluginВидео урок
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48[A/C] Zillow Plugin for ChatGPTВидео урок
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49[A/C] Exercise on Zillow PluginВидео урок
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50[A/C] Podcast Search Plugin for ChatGPTВидео урок
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56[A/B] Intro to Using Excel and Machine Learning (What, Why and How of Section 6)Видео урок
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57[A/B] Basic Linear Regression Analysis in ExcelВидео урок
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58[A/B] Exercise on Basic Regression Analysis in ExcelВидео урок
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59[A/B] Answer to Exercise on Basic Regression Analysis in ExcelВидео урок
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60[A] Advanced Regression Analysis in Excel Part 1Видео урок
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61[A] Advanced Regression Analysis in Excel Part 2Видео урок
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62[A] Advanced Regression Analysis in Excel Part 3Видео урок
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63[A] Exercise on Advanced Regression Analysis in ExcelВидео урок
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64[A] Answer to Exercise on Advanced Regression Analysis in ExcelВидео урок
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65[A] Multiple Regression Analysis in Excel Part 1Видео урок
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66[A] Multiple Regression Analysis in Excel Part 2Видео урок
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67[A] Exercise on Multiple Regression Analysis in ExcelВидео урок
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68[A] Answer to Exercise on Multiple Regression Analysis in ExcelВидео урок
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69[A] Fixing Problems with DataВидео урок
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70[A/B] Intro to Images & AI (What, Why and How of Section 7)Видео урок
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71[A/B] Midjourney Account SetupВидео урок
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72[A/B] Midjourney Interface Walkthrough and How to Use itВидео урок
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73[A/B] Midjourney Good Prompting PracticesВидео урок
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74[A/B] Midjourney Image PromptingВидео урок
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75[A/B] Exercise on Midjourney Image PromptingВидео урок
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76[A/B] Answer to Exercise on Midjourney Image PromptingВидео урок
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77[A] Midjourney Image BlendingВидео урок
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78[A] Midjourney Image Captioning (Meaning Description Feature)Видео урок
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79[A] Midjourney Advanced SettingsВидео урок
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80[A] Midjourney Negative PromptingВидео урок
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81[A] Midjourney Other Commands Aspect Ratios & More)Видео урок
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82[A] Advanced Exercise on MidjourneyВидео урок
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83[A] Answer to Advanced Exercise on MidjourneyВидео урок
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84[A/B] DALL-E 2: Account Setup and Interface WalkthroughВидео урок
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85[A/B] DALL-E 2: Prompt DesignsВидео урок
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86[A/B] Exercise on DALL-E 2Видео урок
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87[A/B] Answer to Exercise on DALL-E 2Видео урок
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88[A] DALL-E 2: Editing Images & OutpaintingВидео урок
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89[A] DALL-E 2: Image InpaintingВидео урок
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90[A] Advanced Exercise on DALL-E 2Видео урок
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91[A] Answer to Advanced Exercise on DALL-E 2Видео урок