Free Generative AI Fundamentals Course

Introduction to Generative AI Fundamentals

• Lesson 01: Introduction

  03:43

  • 1.01 Introduction to Generative AI Fundamentals Concepts Use Cases and Practical Essentials

    01:30

  • 1.02 Kickstarting with Generative AI Fundamentals Concepts Use Cases and Practical Essentials

    02:13

• Lesson 02: Overview of Artificial Intelligence (AI), Machine Learning ML and Deep Learning DL (1)

  59:28

  • 2.01 Lesson Introduction

    03:01

  • 2.02 Introduction to Artificial Intelligence

    03:04

  • 2.03 Evolution of Artificial Intelligence

    03:27

  • 2.04 Types of AI

    01:44

  • 2.05 Key Components of AI

    03:03

  • 2.06 AI in Everyday Life and Its Benefits

    02:32

  • 2.07 Challenges of AI and Why AI is Powerful

    03:46

  • 2.08 Early AI Milestones and the Rise of Machine Learning

    03:08

  • 2.09 Emergence of Deep Learning and Key Breakthroughs in AI

    03:26

  • 2.10 Case Study Google Ads

    02:40

  • 2.11 Introduction to Machine Learning

    02:03

  • 2.12 Types of Machine Learning

    02:15

  • 2.13 Applications of Machine Learning in Business

    02:33

  • 2.14 Case Study Netflix

    02:25

  • 2.15 Understanding Reinforcement Learning and Deep Learning

    02:58

  • 2.16 Case Study Amazon Alexa

    02:09

  • 2.17 Machine Learning vs Deep Learning

    02:28

  • 2.18 ML and DL Applications

    02:49

  • 2.19 Introduction to Neural Networks

    02:50

  • 2.20 Types of Neural Networks

    03:13

  • 2.21 Case Study Amazon

    01:55

  • 2.22 Key Takeaways

    01:59

• Lesson 03: Introduction to Transformers, Advanced AI Models and Natural Language Processing NLP

  01:18:04

  • 3.01 Lesson Introduction

    02:31

  • 3.02 Attention Mechanism and Transformers

    03:44

  • 3.03 Types of Attention Mechanism

    04:33

  • 3.04 Introduction to Transformer Models

    03:18

  • 3.05 Understanding Self Attention

    03:00

  • 3.06 Understanding How Self Attention Works

    03:00

  • 3.07 Transformer Model Architecture

    02:15

  • 3.08 How Encoders Work

    03:00

  • 3.09 How Decoders Work

    04:46

  • 3.10 Text Processing in Transformers

    03:59

  • 3.11 How Transformers Revolutionized AI

    02:49

  • 3.12 Transformer Model Advantages

    03:15

  • 3.13 Introduction to BERT

    03:13

  • 3.14 How BERT Learns Through MLM

    03:11

  • 3.15 Real World Applications of BERT

    03:38

  • 3.16 Introduction to GPT Models

    02:53

  • 3.17 Zero Shot Learning Few Shot Learning and Prompt Engineering

    02:57

  • 3.18 Introduction to Natural Language Processing (NLP)

    02:29

  • 3.19 NLP How It Works and What It Powers

    02:30

  • 3.20 Categories of NLP and Techniques Used in NLP

    04:15

  • 3.21 Real-World Applications of NLP Chatbots

    02:37

  • 3.22 Text Classification and Its Common Applications

    03:23

  • 3.23 Applications of NLP in Business

    02:27

  • 3.24 Case Study Bank of America

    02:00

  • 3.25 Key Takeaways

    02:21

• Lesson 04: Overview of GenAI and AI Project Implementation

  58:47

  • 4.01 Lesson Introduction

    01:48

  • 4.02 What Are GenAI Models

    04:12

  • 4.03 Transformer Based Large Language Models

    02:58

  • 4.04 GAN Based Models

    03:25

  • 4.05 VAE Based Models

    02:47

  • 4.06 Diffusion Models

    02:44

  • 4.07 Capabilities and Limitations of GenAI Models

    02:31

  • 4.08 Introduction to GenAI Applications and Tools

    02:48

  • 4.09 GenAI Tools and Business Use Cases

    03:37

  • 4.10 Introduction to Prompt Engineering

    03:54

  • 4.11 Demo Generating a Product Launch Campaign Using ChatGPT

    04:11

  • 4.12 Introduction to the GenAI Open Source Landscape

    03:48

  • 4.13 Demo Exploring AI Capabilities with Hugging Face Spaces

    09:56

  • 4.14 GenAI Security Bias and Responsible Use

    04:44

  • 4.15 Future of AI and Emerging Trends

    03:25

  • 4.16 Key Takeaways

    01:59

• Lesson 05: Working with GPTs

  01:47:38

  • 5.01 Day to Day Tasks ChatGPT Can Do

    02:23

  • 5.02 Demo Multilingual Book Translation Using ChatGPT ​

    03:24

  • 5.03 Demo Creating a LinkedIn Profile Using ChatGPT​

    07:01

  • 5.04 Demo Sentiment Analysis of User Reviews Using ChatGPT ​

    03:46

  • 5.05 ChatGPT Multimodal Capabilities

    03:04

  • 5.06 Demo Exploring Multimodal Capabilities of ChatGPT

    09:40

  • 5.07 Demo Customer Feedback Analysis Using ChatGPT

    05:01

  • 5.08 Comparison Between ChatGPT 3 5 4 and 4o

    05:08

  • 5.09 ChatGPT Comparison Based on a Use Case​

    04:04

  • 5.10 Comparison Based on a Prompt

    03:15

  • 5.11 Exploring GPTs Categories and Use Cases With Examples

    05:36

  • 5.12 Demo Creating Marketing Content for Eco Friendly Water Bottles Using Write for Me GPT

    03:35

  • 5.13 Demo Designing Visually Appealing Content Using Canva GPT​

    03:21

  • 5.14 Demo Creating a Website Design Using DesignerGPT

    05:37

  • 5.15 Demo Streamlining Literature Surveys on LLM Impact with Consensus GPT

    06:30

  • 5.16 Demo Enhancing Educational Material Using Universal Primer GPT

    06:18

  • 5.17 Generative AI in Business Impact Across Domains and Workflow Automation

    01:30

  • 5.18 Demo Setting Up a Zapier Account and Creating a Zap

    06:53

  • 5.19 Sales and Marketing

    01:30

  • 5.20 Demo Creating a Video Using AI

    04:07

  • 5.21 Software Engineering

    01:08

  • 5.22 Demo Designing User Interfaces with Generative AI​

    03:45

  • 5.23 Data Analytics

    00:47

  • 5.24 Demo Data Integrity Using GenAI

    03:39

  • 5.25 Customer Service and Operations

    02:16

  • 5.26 Demo Transcribing Audio Calls to Text

    04:20

• Lesson 06: Advanced GenAI Tools

  15:22

  • 6.01 Gemini

    01:47

  • 6.02 Demo Marketing Strategy Using Gemini

    04:02

  • 6.03 Descript

    00:26

  • 6.04 Demo Creating a Video Using Descript

    04:05

  • 6.05 Claude

    00:53

  • 6.06 Demo Creating a Blog Post Using Claude

    03:22

  • 6.07 Sora

    00:47

  • Knowledge check