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The Complete Artificial Intelligence and ChatGPT Course

The Complete Artificial Intelligence and ChatGPT Course

Loại khoá học: Other IT & Software

Includes ChatGPT Alternatives Google Bard & Bing Chat, Machine Learning, Images with DALL-E & Midjourney, Voice & More

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50.000 VND
1.399.000 VND
Đầy Đủ Bài Giảng
Học Online Tiện Lợi
Kích Hoạt Nhanh 2-5 Phút
Thanh toán tự động
Được phép tải xuống

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Mô tả

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

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Nội dung khoá học

16 sections

Course Introduction and How to Take this Comprehensive A.I. & Chat GPT Course

1 lectures
Welcome & How to Take the Course: ChatGPT & MANY More A.I. Topics
13:02

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

15 lectures
[A/B] Introduction to AI (What, Why and How of Section 2)
02:49
[A/B/C] 3 Categories of AI: Narrow (ANI), General (AGI) & Super (ASI)
06:44
[A/B] A.I. vs Machine Learning vs. Deep Learning
09:37
[A/B] Exercise on Machine Learning & Netflix
04:33
[A] Supervised & Unsupervised Machine Learning + Reinforcement Learning
15:19
[A] Exercise on Machine Learning Clustering
02:36
[A/B] Computer Vision (Using Tesla as an Example)
05:51
[A/B] Exercise on Computer Vision
06:28
[A] Natural Language Processing (NLP) and NLP Applications
05:59
[A/B] AI Hardware and Infrastructure: Enabling Scalable and Affordable AI
09:19
[A] AutoML and Transfer Learning
05:35
[A/B] AI's Role in Different Industries, Government and Society
05:37
[A/B] Challenges and Limitations of AI
05:07
[A/B] Job Positions in the Data World
04:58
[A] Quiz on Introduction to Artificial Intelligence
10 questions

Section 3: ChatGPT

21 lectures
[A/B/C] Introduction to ChatGPT (What, Why and How of Section 3)
01:56
[A/B/C] Introduction to Prompt Engineering (Basic and Advanced Prompts)
04:41
[A/B/C] ChatGPT User Interface and Account Setup
07:08
[A/B/C] Important Problems/Issues with Using ChatGPT
02:37
[A/B/C] Your First Prompt Exercise - Directional Prompting
07:14
[A/B/C] Role Playing
05:06
[A/B/C] Few-Shot Prompting
05:28
[A/B/C] Putting It All Together & Ask Me If Needed Technique
06:37
[A/B/C] Now You Try! (Exercise)
01:56
[A/B/C] Exercise Solution
02:04
[A/C] Chain of Thought Prompting
05:02
[A/C] In Style of Prompting
05:43
[A/C] Structuring Your Data & Using Tables
02:52
[A/B/C] Text Summarization
01:31
[A/C] Text Classification
02:25
[A/C] Coding Generation
03:27
[A/C] ChatGPT Hacking
04:21
[A/C] Additional ChatGPT Tips
03:37
[A/C] Large Language Models [Optional Lecture]
11:43
[A/C] How Computers Understand Text [Optional Lecture]
05:03
[A/C] What Happens When ChatGPT Receives a Prompt? [Optional Lecture]
04:18

Section 4: ChatGPT Plugins

13 lectures
[A/C] Introduction to ChatGPT Plugins (What, Why and How of Section 4)
01:58
[A/C] What are ChatGPT Plugins and How to Get Them
05:07
[A/C] Optional Text Lecture: What to do if You Can't Find the Zillow Plugin
00:42
[A/C] Browsing with ChatGPT
03:43
[A/C] Wolfram Plugin for ChatGPT
03:55
[A/C] Exercise on Wolfram Plugin for ChatGPT
00:53
[A/C] edX Plugin for ChatGPT
04:33
[A/C] Exercise on edX Plugin
00:51
[A/C] KAYAK Plugin for ChatGPT
02:14
[A/C] Exercise on KAYAK Plugin
00:33
[A/C] Zillow Plugin for ChatGPT
02:41
[A/C] Exercise on Zillow Plugin
00:24
[A/C] Podcast Search Plugin for ChatGPT
01:33

Section 5: Alternatives to ChatGPT (Bard & Bing)

5 lectures
[A/C] Introduction to ChatGPT Alternatives (What, Why and How of Section 5)
01:37
[A/C] Bard by Google
07:00
[A/C] Exercise on Using Bard
00:36
[A/C] Bing Chat by Microsoft
07:17
S5L5 [A/C] Exercise on Using Bing Chat
00:40

Section 6: How to Use Excel and Machine Learning

14 lectures
[A/B] Intro to Using Excel and Machine Learning (What, Why and How of Section 6)
03:37
[A/B] Basic Linear Regression Analysis in Excel
15:27
[A/B] Exercise on Basic Regression Analysis in Excel
01:12
[A/B] Answer to Exercise on Basic Regression Analysis in Excel
03:08
[A] Advanced Regression Analysis in Excel Part 1
20:46
[A] Advanced Regression Analysis in Excel Part 2
18:57
[A] Advanced Regression Analysis in Excel Part 3
08:34
[A] Exercise on Advanced Regression Analysis in Excel
01:45
[A] Answer to Exercise on Advanced Regression Analysis in Excel
04:21
[A] Multiple Regression Analysis in Excel Part 1
20:13
[A] Multiple Regression Analysis in Excel Part 2
05:13
[A] Exercise on Multiple Regression Analysis in Excel
01:22
[A] Answer to Exercise on Multiple Regression Analysis in Excel
02:15
[A] Fixing Problems with Data
01:43

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

22 lectures
[A/B] Intro to Images & AI (What, Why and How of Section 7)
01:15
[A/B] Midjourney Account Setup
05:03
[A/B] Midjourney Interface Walkthrough and How to Use it
06:30
[A/B] Midjourney Good Prompting Practices
12:24
[A/B] Midjourney Image Prompting
04:51
[A/B] Exercise on Midjourney Image Prompting
00:36
[A/B] Answer to Exercise on Midjourney Image Prompting
00:44
[A] Midjourney Image Blending
02:19
[A] Midjourney Image Captioning (Meaning Description Feature)
02:54
[A] Midjourney Advanced Settings
04:13
[A] Midjourney Negative Prompting
02:06
[A] Midjourney Other Commands Aspect Ratios & More)
05:24
[A] Advanced Exercise on Midjourney
00:57
[A] Answer to Advanced Exercise on Midjourney
00:53
[A/B] DALL-E 2: Account Setup and Interface Walkthrough
05:45
[A/B] DALL-E 2: Prompt Designs
02:56
[A/B] Exercise on DALL-E 2
01:09
[A/B] Answer to Exercise on DALL-E 2
02:49
[A] DALL-E 2: Editing Images & Outpainting
05:52
[A] DALL-E 2: Image Inpainting
04:40
[A] Advanced Exercise on DALL-E 2
00:51
[A] Answer to Advanced Exercise on DALL-E 2
00:51

Section 8: Voice, Avatars and Cloning

7 lectures
[A/B] Intro to Voice, Avatars & Cloning (What, Why and How of Section 8)
01:22
[A/B] Using/Making AI Avatars with D-ID
05:31
[A/B] Exercise on D-ID
00:53
[A/B] Resemble AI
06:24
[A/B] Exercise on Resemble AI
01:42
[A/B] ElevenLabs
04:31
[A/B] Exercise on ElevenLabs
00:49

Section 9: Other AI Applications (Ralph AI, ChatBase,Character AI and More)

11 lectures
[A] Intro to Other AI Applications (What, Why and How of Section 9)
01:15
[A] Ralph AI
07:12
[A] Exercise on Ralph AI
00:53
[A] Answer to Exercise on Ralph AI
01:46
[A] Making Music Videos with AI
05:37
[A] Exercise on Making Music Videos with AI
00:53
[A] Chatbase (How to Add Chatbase GPT to Your Website)
08:56
[A] Exercise on Chatbase
00:37
[A] Auto GPT
20:37
[A] Exercise on Auto GPT
01:07
[A] Character AI
04:16

Section 10: Using AI for Business Decisions

13 lectures
[A/B] Intro to Using AI for Business Decisions (What, Why and How of Section 10)
01:08
[A/B] The Role of AI in Business Strategy
05:11
[A/B] Aligning AI Initiatives with Business Objectives
05:44
[A/B] Identifying AI Opportunities
04:53
[A/B] Setting AI KPIs
03:20
[A/B] Building a Data-Driven Organization/Culture
08:55
[A/B] Selecting the Right AI Solutions and Vendors
07:21
[A/B] Overcoming Challenges in AI Implementation
09:22
[A/B] AI Ethics, Governance, and Compliance
08:51
[A/B] Data Drift
01:25
[A/B] Risks and Cost of Having AI in Production
01:47
[A/B] Monitoring and Evaluating AI Performance
02:36
[A/B] Quiz on AI for Business Executives
5 questions

Section 11: Additional Risks and Ethics with AI

5 lectures
[A/B] Intro to Additional Risks & Ethics with AI
06:04
[A/B] Bias
06:21
[A/B] Explainability and Interpretability
07:39
[A/B] Data Privacy and Security in AI
06:59
[A/B] Quiz on Additional Risks and Ethics with AI
5 questions

Section 12: Using AI in Different Industries

5 lectures
[A/B] AI in Insurance
04:45
[A/B] AI in Finance and Banking
07:13
[A/B] AI in Retail
10:01
[A/B] AI in Marketing
08:43
[A/B] AI in Supply Chain
06:41

Section 13: Machine Learning Project Lifecycle

7 lectures
[A] Intro to Machine Learning Project Lifecycle
00:41
[A] General Overview
04:58
[A] Data Collection
11:35
[A] Model Training
10:14
[A] Model Evaluation
03:11
[A] Model Deployment
06:41
[A] Model Monitoring
05:23

Section 14: The Future of AI & Next Steps

3 lectures
[A/B] Overview of 13 Emerging AI Technologies
05:08
[A/B] Preparing for the Future of AI
02:12
[A/B] Where We See AI Being Used/Deployed and How?
03:49

Section 15: OpenAI API (Application Programming Interface)

5 lectures
[A] Intro to OpenAI API
01:02
[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)
06:46
[A] Talking about Embeddings and Fine Tuning
06:44

Section 16: Conclusion and Additional AI Topics

1 lectures
[A/B] Conclusion and Additional AI Topics
00:27

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