Generative Ai Fundamentals For Beginners

Key Concepts, Techniques, and Live Demo from Scratch

What you'll learn

Generative AI Foundations: Understand core concepts and real-world applications

Core Principles: Grasp LLMs, embeddings, prompts, and tuning.

Industry Examples: Discover AI solutions across different sectors.

Practical Skills: Build and deploy Gen AI application from scratch

Emerging Trends: Keep up in the changing GenAI field.

Ongoing Growth: Plan for continuous AI skill development.

Requirements

No Programming Background Needed

Desire to Learn Generative AI

Commitment to the Course

Enthusiasm for Problem Solving

Description

Welcome to "Generative AI for Beginners" - the perfect course for anyone excited to explore the world of Generative AI (GenAI) and its amazing potential. This course is designed to give you a solid understanding of basic concepts, practical uses in different industries, and hands-on practice. It’s ideal for anyone new to AI, professionals looking to learn more, or anyone simply curious about this cutting-edge technology.In this course, you'll learn the essentials of Generative AI, see how it’s used in real life, and get to work on practical projects. We’ve made sure the content is easy to follow, even if you’re starting from scratch.To make your learning experience even better, we offer lifetime support for any questions you might have. You can always reach out to us for help, no matter how long it’s been since you started the course. So, join us and see how Generative AI can help you grow your skills and open up new career opportunities.Why Dive into Generative AI?Generative AI is revolutionizing how we create content—from text and images to music—making it a powerful tool across various industries. Understanding this technology will not only enhance your career prospects but also allow you to innovate and solve complex problems with ease.Course Highlights:Beginner-Friendly: Designed specifically for those new to AI and machine learning, with clear and straightforward explanations.Hands-On Experience: Work on your own AI projects and acquire hands-on skills through interactive exercises.Industry-Relevant Knowledge: Discover how Generative AI is transforming areas such as software development and marketing through real-world applications.Expert Guidance: Benefit from the extensive expertise of the instructor in AI and cloud technologies.Ethical and Future-Oriented: Delve into the ethical implications and future trends of AI.Why Choose This Course?Hands-On Learning: Engage in practical, step-by-step activities.Beginner Support: Receive thorough assistance tailored for newcomers to the field.Lifetime Query Support: Get answers to your questions within 48 hours.Ready to start your adventure into Generative AI? Join us and discover how this transformative technology can enhance your skills and open new career doors. Let’s get started!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Who is this Program for

Lecture 3 Course Tips

Section 2: Generative AI Basics

Lecture 4 Fundamentals of Generative AI

Lecture 5 AI, Machine Learning (ML), and Deep Learning (DL)

Lecture 6 How Gen AI works behind the scene

Lecture 7 Gen AI Features and its capabilities

Section 3: Quiz

Section 4: Key Terminologies

Lecture 8 Overview of Key Terms

Lecture 9 Large Language Models (LLMs)

Lecture 10 Prompt Engineering

Lecture 11 Understanding Embeddings

Lecture 12 Generative Pre-trained Transformer (GPT)

Lecture 13 Model Fine Tuning

Lecture 14 ZeroShot/Few Shot learning

Section 5: Quiz

Section 6: Retrieval-Augmented Generation (RAG)

Lecture 15 Introduction

Lecture 16 Understanding Retrieval-Augmented Generation

Lecture 17 The Key Components of Retrieval-Augmented Generation

Lecture 18 How Retrieval-Augmented Generation Works

Lecture 19 Applications Of RAG

Lecture 20 Advantages & Challenges Of RAG

Section 7: Quiz

Section 8: Applications of Generative AI

Lecture 21 Introduction

Lecture 22 Software Development - Copilots

Lecture 23 GithHub Copilot Live Demo

Lecture 24 Chat GPT Demo - Software Development

Lecture 25 Marketing and Promotion

Lecture 26 Chat GPT Demo - Marketing & Promotions

Lecture 27 Healthcare

Lecture 28 Fashion & Retails

Lecture 29 Content Generation

Section 9: Quiz

Section 10: Building an AI Search System from Scratch

Lecture 30 Introduction

Lecture 31 What we are going to Build

Lecture 32 Part 1 - Setting Up the Environment

Lecture 33 Part 2 - Data Indexing

Lecture 34 Part 3 - Testing

Lecture 35 Part 4 - Deployment

Lecture 36 Live Demonstration - Bringing It All Together

Lecture 37 Recap : Points To Remember

Section 11: Ethical Consideration & Future

Lecture 38 Introduction

Lecture 39 Ethical Consideration & Future - Overview

Lecture 40 Responsible AI Practices

Lecture 41 Future Prospects and the Impact of Gen AI

Section 12: Quiz

Section 13: Next Step

Lecture 42 Congratulations & What's Next?

People fascinated by Generative AI’s potential,AI and Generative AI enthusiasts,Business professionals and executives,Career seekers in technology,Innovative problem solvers,Data scientists and engineers