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The Complete Artificial Intelligence and Chat GPT Course
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 (13:03)
Section 2: Intro. to Artificial Intelligence (Machine + Deep Learning & More)
[A/B] Introduction to AI (What, Why and How of Section 2) (2:49)
[A/B/C] 3 Categories of AI: Narrow (ANI), General (AGI) & Super (ASI) (6:44)
[A/B] A.I. vs Machine Learning vs. Deep Learning (9:37)
[A/B] Exercise on Machine Learning & Netflix (4:33)
[A] Supervised & Unsupervised Machine Learning + Reinforcement Learning (2:36)
[A] Exercise on Machine Learning Clustering (6:28)
[A/B] Computer Vision (Using Tesla as an Example) (5:51)
[A/B] Exercise on Computer Vision (6:28)
[A] Natural Language Processing (NLP) and NLP Applications (5:59)
[A/B] AI Hardware and Infrastructure: Enabling Scalable and Affordable AI (9:19)
[A] AutoML and Transfer Learning (5:35)
[A/B] AI's Role in Different Industries, Government and Society (5:37)
[A/B] Challenges and Limitations of AI (5:07)
[A/B] Job Positions in the Data World (4:58)
[A] Quiz on Intro to Artificial Intelligence
Section 3: ChatGPT
[A/B/C] Introduction to ChatGPT (What, Why and How of Section 3) (1:56)
[A/B/C] Introduction to Prompt Engineering (Basic and Advanced Prompts) (4:41)
[A/B/C] ChatGPT User Interface and Account Setup (7:08)
[A/B/C] Important Problems/Issues with Using ChatGPT (2:37)
[A/B/C] Your First Prompt Exercise - Directional Prompting (7:14)
[A/B/C] Role Playing (5:06)
[A/B/C] Few-Shot Prompting (5:28)
[A/B/C] Putting It All Together & Ask Me If Needed Technique (6:37)
[A/B/C] Now you try! (Exercise) (1:56)
[A/B/C] Exercise Solution (2:05)
[A/C] Chain of Thought Prompting (5:02)
[A/C] In Style of Prompting (5:43)
[A/C] Structuring Your Data & Using Tables (2:52)
[A/B/C] Text Summarization (1:31)
[A/C] Text Classification (2:25)
[A/C] Coding Generation (3:27)
[A/C] ChatGPT Hacking (4:21)
[A/C] Additional ChatGPT Tips (3:37)
[A/C] Large Language Models [Optional Lecture] (11:43)
[A/C] How Computers Understand Text [Optional Lecture] (5:03)
[A/C] What Happens When ChatGPT Receives a Prompt? [Optional Lecture] (4:18)
Section 4: ChatGPT Plugins
[A/C] Introduction to ChatGPT Plugins (What, Why and How of Section 4) (1:58)
[A/C] What are ChatGPT Plugins and How to Get Them (5:07)
[A/C] Browsing with ChatGPT (3:43)
[A/C] Wolfram Plugin for ChatGPT (3:55)
[A/C] Exercise on Wolfram Plugin for ChatGPT (0:53)
[A/C] edX Plugin for ChatGPT (4:33)
[A/C] Exercise on edX Plugin (0:51)
[A/C] KAYAK Plugin for ChatGPT (2:14)
[A/C] Exercise on KAYAK Plugin (0:33)
[A/C] Zillow Plugin for ChatGPT (2:41)
[A/C] Exercise on Zillow Plugin (0:24)
[A/C] Podcast Search Plugin for ChatGPT (1:33)
Section 5: Alternatives to ChatGPT (Bard & Bing)
[A/C] Bard by Google (7:00)
[A/C] Exercise on Using Bard (0:37)
[A/C] Bing Chat by Microsoft (7:17)
[A/C] Exercise on Using Bing Chat (0:40)
[A/C] Introduction to ChatGPT Alternatives (What, Why and How of Section 5) (1:37)
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) (3:37)
[A/B] Basic Linear Regression Analysis in Excel (15:27)
[A/B] Exercise on Basic Regression Analysis in Excel (1:12)
[A/B] Answer to Exercise on Basic Regression Analysis in Excel (3:08)
[A] Advanced Regression Analysis in Excel Part 1 (20:46)
[A] Advanced Regression Analysis in Excel Part 2 (18:58)
[A] Advanced Regression Analysis in Excel Part 3 (8:34)
[A] Exercise on Advanced Regression Analysis in Excel (1:45)
[A] Answer to Exercise on Advanced Regression Analysis in Excel (4:21)
[A] Multiple Regression Analysis in Excel Part 1 (20:13)
[A] Multiple Regression Analysis in Excel Part 2 (5:13)
[A] Exercise on Multiple Regression Analysis in Excel (1:23)
[A] Answer to Exercise on Multiple Regression Analysis in Excel (2:15)
[A] Fixing Problems with Data (1:43)
Section 7: Images and AI (DALL-E, MidJourney)
[A/B] Intro to Images & AI (What, Why and How of Section 7) (1:15)
[A/B] Midjourney Account Setup (5:04)
[A/B] Midjourney Interface Walkthrough and How to Use it (6:30)
[A/B] Midjourney Good Prompting Practices (12:24)
[A/B] Midjourney Image Prompting (4:51)
[A/B] Exercise on Midjourney Image Prompting (0:36)
[A/B] Answer to Exercise on Midjourney Image Prompting (0:44)
[A] Midjourney Image Blending (2:20)
[A] Midjourney Image Captioning (Meaning Description Feature) (2:54)
[A] Midjourney Advanced Settings (4:13)
[A] Midjourney Negative Prompting (2:06)
[A] Midjourney Other Commands Aspect Ratios & More) (5:24)
[A] Advanced Exercise on Midjourney (0:57)
[A] Answer to Advanced Exercise on Midjourney (0:53)
[A/B] DALL-E 2: Account Setup and Interface Walkthrough (5:45)
[A/B] DALL-E 2: Prompt Designs (2:57)
[A/B] Exercise on DALL-E 2 (1:09)
[A/B] Answer to Exercise on DALL-E 2 (2:49)
[A] DALL-E 2: Editing Images & Outpainting (5:52)
[A] DALL-E 2: Image Inpainting (4:40)
[A] Advanced Exercise on DALL-E 2 (0:51)
[A] Answer to Advanced Exercise on DALL-E 2 (0:51)
Section 8: Voice, Avatars and Cloning
[A/B] Intro to Voice, Avatars & Cloning (What, Why and How of Section 8) (1:22)
[A/B] Using/Making AI Avatars with D-ID (5:31)
[A/B] Exercise on D-ID (0:53)
[A/B] Resemble AI (6:25)
[A/B] Exercise on Resemble AI (1:42)
[A/B] ElevenLabs (4:31)
[A/B] Exercise on ElevenLabs (0:49)
Section 9: Other AI Applications (Ralph AI, ChatBase,Character AI and More)
[A] Intro to Other AI Applications (What, Why and How of Section 9) (1:15)
[A] Ralph AI (7:12)
[A] Exercise on Ralph AI (0:54)
[A] Answer to Exercise on Ralph AI (1:46)
[A] Making Music Videos with AI (5:37)
[A] Exercise on Making Music Videos with AI (0:53)
[A] Chatbase (How to Add Chatbase GPT to Your Website) (8:56)
[A] Exercise on Chatbase (0:37)
[A] Auto GPT (20:37)
[A] Exercise on Auto GPT (1:07)
[A] Character AI (4:16)
Section 10: Using AI for Business Decisions
[A/B] The Role of AI in Business Strategy (5:11)
[A/B] Aligning AI Initiatives with Business Objectives (5:44)
[A/B] Identifying AI Opportunities (4:53)
[A/B] Setting AI KPIs (3:20)
[A/B] Building a Data-Driven Organization/Culture (8:55)
[A/B] Selecting the Right AI Solutions and Vendors (7:22)
[A/B] Overcoming Challenges in AI Implementation (9:22)
[A/B] AI Ethics, Governance, and Compliance (8:51)
[A/B] Data Drift (1:25)
[A/B] Risks and Cost of Having AI in Production (1:48)
[A/B] Monitoring and Evaluating AI Performance (2:36)
[A/B] Quiz on AI for Business Executives
[A/B] Intro to Using AI for Business Decisions (What, Why and How of Section 10) (1:08)
Section 11: Additional Risks and Ethics with AI
[A/B] Intro to Additional Risks & Ethics with AI (6:04)
[A/B] Explainability and Interpretability (7:39)
[A/B] Data Privacy and Security in AI (7:00)
[A/B] Quiz on Additional Risks and Ethics with AI
[A/B] Bias (6:21)
Section 12: Using AI in Different Industries
[A/B] AI in Insurance (4:45)
[A/B] AI in Retail (10:01)
[A/B] AI in Marketing (8:43)
[A/B] AI in Supply Chain (6:41)
[A/B] AI in Finance and Banking (7:13)
Section 13: Machine Learning Project Lifecycle
[A] General Overview (4:59)
[A] Data Collection (11:35)
[A] Model Training (10:14)
[A] Model Evaluation (3:11)
[A] Model Deployment (6:41)
[A] Model Monitoring (5:23)
[A] Intro to Machine Learning Project Lifecycle (0:41)
Section 14: The Future of AI & Next Steps
[A/B] Overview of 13 Emerging AI Technologies (2:12)
[A/B] Where We See AI Being Used/Deployed and How? (3:49)
[A/B] Preparing for the Future of AI (5:08)
Section 15: OpenAI API (Application Programming Interface)
[A] Intro to OpenAI API (1:02)
[A] What is an API & the Pricing Model? (10:43)
[A] Using API from Python and Sending the First Request (12:57)
[A] Making our Toy ChatGPT (Customer Support Chatbot) (6:46)
[A] Talking about Embeddings and Fine Tuning (6:44)
Section 16: Conclusion and Additional AI Topics
[A/B] Conclusion and Additional AI Topics (0:27)
[A/B] Computer Vision (Using Tesla as an Example)
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