The Complete Artificial Intelligence And Chat Gpt Course

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

What you'll learn

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

Requirements

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

Description

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 BardMicrosoft's Bing ChatImage AI products like DALL-E, and MidjourneyVoice and Video CloningMachine LearningHow to use Microsoft Excel with Machine LearningYou 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 CourseSection 2: Intro. to Artificial Intelligence (Machine + Deep Learning & More)Section 3: ChatGPTSection 4: ChatGPT PluginsSection 5: Alternatives to ChatGPT (Bard & Bing)Section 6: How to Use Excel and Machine LearningSection 7: Images and AI (DALL-E, MidJourney)Section 8: Voice, Avatars and CloningSection 9: Other AI Applications (Ralph AI, ChatBase, Auto GPT and More)Section 10: Using AI for Business DecisionsSection 11: Additional Risks and Ethics with AISection 12: Using AI in Different IndustriesSection 13: Machine Learning Project LifecycleSection 14: The Future of AISection 15: OpenAI API (Application Programming Interface)Section 16: Conclusion and Additional AI TopicsCourse 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 CourseAs 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 the 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

Overview

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

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

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

Lecture 2 [A/B] Introduction to AI (What, Why and How of Section 2)

Lecture 3 [A/B/C] 3 Categories of AI: Narrow (ANI), General (AGI) & Super (ASI)

Lecture 4 [A/B] A.I. vs Machine Learning vs. Deep Learning

Lecture 5 [A/B] Exercise on Machine Learning & Netflix

Lecture 6 [A] Supervised & Unsupervised Machine Learning + Reinforcement Learning

Lecture 7 [A] Exercise on Machine Learning Clustering

Lecture 8 [A/B] Computer Vision (Using Tesla as an Example)

Lecture 9 [A/B] Exercise on Computer Vision

Lecture 10 [A] Natural Language Processing (NLP) and NLP Applications

Lecture 11 [A/B] AI Hardware and Infrastructure: Enabling Scalable and Affordable AI

Lecture 12 [A] AutoML and Transfer Learning

Lecture 13 [A/B] AI's Role in Different Industries, Government and Society

Lecture 14 [A/B] Challenges and Limitations of AI

Lecture 15 [A/B] Job Positions in the Data World

Section 3: Section 3: ChatGPT

Lecture 16 [A/B/C] Introduction to ChatGPT (What, Why and How of Section 3)

Lecture 17 [A/B/C] Introduction to Prompt Engineering (Basic and Advanced Prompts)

Lecture 18 [A/B/C] ChatGPT User Interface and Account Setup

Lecture 19 [A/B/C] Important Problems/Issues with Using ChatGPT

Lecture 20 [A/B/C] Your First Prompt Exercise - Directional Prompting

Lecture 21 [A/B/C] Role Playing

Lecture 22 [A/B/C] Few-Shot Prompting

Lecture 23 [A/B/C] Putting It All Together & Ask Me If Needed Technique

Lecture 24 [A/B/C] Now You Try! (Exercise)

Lecture 25 [A/B/C] Exercise Solution

Lecture 26 [A/C] Chain of Thought Prompting

Lecture 27 [A/C] In Style of Prompting

Lecture 28 [A/C] Structuring Your Data & Using Tables

Lecture 29 [A/B/C] Text Summarization

Lecture 30 [A/C] Text Classification

Lecture 31 [A/C] Coding Generation

Lecture 32 [A/C] ChatGPT Hacking

Lecture 33 [A/C] Additional ChatGPT Tips

Lecture 34 [A/C] Large Language Models [Optional Lecture]

Lecture 35 [A/C] How Computers Understand Text [Optional Lecture]

Lecture 36 [A/C] What Happens When ChatGPT Receives a Prompt? [Optional Lecture]

Section 4: Section 4: ChatGPT Plugins

Lecture 37 [A/C] Introduction to ChatGPT Plugins (What, Why and How of Section 4)

Lecture 38 [A/C] What are ChatGPT Plugins and How to Get Them

Lecture 39 [A/C] Browsing with ChatGPT

Lecture 40 [A/C] Wolfram Plugin for ChatGPT

Lecture 41 [A/C] Exercise on Wolfram Plugin for ChatGPT

Lecture 42 [A/C] edX Plugin for ChatGPT

Lecture 43 [A/C] Exercise on edX Plugin

Lecture 44 [A/C] KAYAK Plugin for ChatGPT

Lecture 45 [A/C] Exercise on KAYAK Plugin

Lecture 46 [A/C] Zillow Plugin for ChatGPT

Lecture 47 [A/C] Exercise on Zillow Plugin

Lecture 48 [A/C] Podcast Search Plugin for ChatGPT

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

Lecture 49 [A/C] Introduction to ChatGPT Alternatives (What, Why and How of Section 5)

Lecture 50 [A/C] Bard by Google

Lecture 51 [A/C] Exercise on Using Bard

Lecture 52 [A/C] Bing Chat by Microsoft

Lecture 53 S5L5 [A/C] Exercise on Using Bing Chat

Section 6: Section 6: How to Use Excel and Machine Learning

Lecture 54 [A/B] Intro to Using Excel and Machine Learning (What, Why and How of Section 6)

Lecture 55 [A/B] Basic Linear Regression Analysis in Excel

Lecture 56 [A/B] Exercise on Basic Regression Analysis in Excel

Lecture 57 [A/B] Answer to Exercise on Basic Regression Analysis in Excel

Lecture 58 [A] Advanced Regression Analysis in Excel Part 1

Lecture 59 [A] Advanced Regression Analysis in Excel Part 2

Lecture 60 [A] Advanced Regression Analysis in Excel Part 3

Lecture 61 [A] Exercise on Advanced Regression Analysis in Excel

Lecture 62 [A] Answer to Exercise on Advanced Regression Analysis in Excel

Lecture 63 [A] Multiple Regression Analysis in Excel Part 1

Lecture 64 [A] Multiple Regression Analysis in Excel Part 2

Lecture 65 [A] Exercise on Multiple Regression Analysis in Excel

Lecture 66 [A] Answer to Exercise on Multiple Regression Analysis in Excel

Lecture 67 [A] Fixing Problems with Data

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

Lecture 68 [A/B] Intro to Images & AI (What, Why and How of Section 7)

Lecture 69 [A/B] Midjourney Account Setup

Lecture 70 [A/B] Midjourney Interface Walkthrough and How to Use it

Lecture 71 [A/B] Midjourney Good Prompting Practices

Lecture 72 [A/B] Midjourney Image Prompting

Lecture 73 [A/B] Exercise on Midjourney Image Prompting

Lecture 74 [A/B] Answer to Exercise on Midjourney Image Prompting

Lecture 75 [A] Midjourney Image Blending

Lecture 76 [A] Midjourney Image Captioning (Meaning Description Feature)

Lecture 77 [A] Midjourney Advanced Settings

Lecture 78 [A] Midjourney Negative Prompting

Lecture 79 [A] Midjourney Other Commands Aspect Ratios & More)

Lecture 80 [A] Advanced Exercise on Midjourney

Lecture 81 [A] Answer to Advanced Exercise on Midjourney

Lecture 82 [A/B] DALL-E 2: Account Setup and Interface Walkthrough

Lecture 83 [A/B] DALL-E 2: Prompt Designs

Lecture 84 [A/B] Exercise on DALL-E 2

Lecture 85 [A/B] Answer to Exercise on DALL-E 2

Lecture 86 [A] DALL-E 2: Editing Images & Outpainting

Lecture 87 [A] DALL-E 2: Image Inpainting

Lecture 88 [A] Advanced Exercise on DALL-E 2

Lecture 89 [A] Answer to Advanced Exercise on DALL-E 2

Section 8: Section 8: Voice, Avatars and Cloning

Lecture 90 [A/B] Intro to Voice, Avatars & Cloning (What, Why and How of Section 8)

Lecture 91 [A/B] Using/Making AI Avatars with D-ID

Lecture 92 [A/B] Exercise on D-ID

Lecture 93 [A/B] Resemble AI

Lecture 94 [A/B] Exercise on Resemble AI

Lecture 95 [A/B] ElevenLabs

Lecture 96 [A/B] Exercise on ElevenLabs

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

Lecture 97 [A] Intro to Other AI Applications (What, Why and How of Section 9)

Lecture 98 [A] Ralph AI

Lecture 99 [A] Exercise on Ralph AI

Lecture 100 [A] Answer to Exercise on Ralph AI

Lecture 101 [A] Making Music Videos with AI

Lecture 102 [A] Exercise on Making Music Videos with AI

Lecture 103 [A] Chatbase (How to Add Chatbase GPT to Your Website)

Lecture 104 [A] Exercise on Chatbase

Lecture 105 [A] Auto GPT

Lecture 106 [A] Exercise on Auto GPT

Lecture 107 [A] Character AI

Section 10: Section 10: Using AI for Business Decisions

Lecture 108 [A/B] Intro to Using AI for Business Decisions (What, Why and How of Section 10)

Lecture 109 [A/B] The Role of AI in Business Strategy

Lecture 110 [A/B] Aligning AI Initiatives with Business Objectives

Lecture 111 [A/B] Identifying AI Opportunities

Lecture 112 [A/B] Setting AI KPIs

Lecture 113 [A/B] Building a Data-Driven Organization/Culture

Lecture 114 [A/B] Selecting the Right AI Solutions and Vendors

Lecture 115 [A/B] Overcoming Challenges in AI Implementation

Lecture 116 [A/B] AI Ethics, Governance, and Compliance

Lecture 117 [A/B] Data Drift

Lecture 118 [A/B] Risks and Cost of Having AI in Production

Lecture 119 [A/B] Monitoring and Evaluating AI Performance

Section 11: Section 11: Additional Risks and Ethics with AI

Lecture 120 [A/B] Intro to Additional Risks & Ethics with AI

Lecture 121 [A/B] Bias

Lecture 122 [A/B] Explainability and Interpretability

Lecture 123 [A/B] Data Privacy and Security in AI

Section 12: Section 12: Using AI in Different Industries

Lecture 124 [A/B] AI in Insurance

Lecture 125 [A/B] AI in Finance and Banking

Lecture 126 [A/B] AI in Retail

Lecture 127 [A/B] AI in Marketing

Lecture 128 [A/B] AI in Supply Chain

Section 13: Section 13: Machine Learning Project Lifecycle

Lecture 129 [A] Intro to Machine Learning Project Lifecycle

Lecture 130 [A] General Overview

Lecture 131 [A] Data Collection

Lecture 132 [A] Model Training

Lecture 133 [A] Model Evaluation

Lecture 134 [A] Model Deployment

Lecture 135 [A] Model Monitoring

Section 14: Section 14: The Future of AI & Next Steps

Lecture 136 [A/B] Overview of 13 Emerging AI Technologies

Lecture 137 [A/B] Preparing for the Future of AI

Lecture 138 [A/B] Where We See AI Being Used/Deployed and How?

Section 15: Section 15: OpenAI API (Application Programming Interface)

Lecture 139 [A] Intro to OpenAI API

Lecture 140 [A] What is an API & the Pricing Model?

Lecture 141 [A] Using API from Python and Sending the First Request

Lecture 142 [A] Making our Toy ChatGPT (Customer Support Chatbot)

Lecture 143 [A] Talking about Embeddings and Fine Tuning

Section 16: Section 16: Conclusion and Additional AI Topics

Lecture 144 [A/B] Conclusion and Additional AI Topics

This course is designed to help students learn all about AI from scratch, so you can take your business or career to the next level, by leveraging the power of AI! At the end of this course, you will have a comprehensive understanding of Artificial Intelligence (AI) technology and how it can be leveraged to achieve business goals in all industries.,You will learn about the many applications of AI in the business world and how to identify potential opportunities for implementation in your own organization or to enhance your career.