The Next Frontier: Generative Ai For Absolute Beginners

Learn the Fundamental Concepts of AI, ML and Generative AI with an Easy, Simple and Fun Training

What you'll learn

Artificial Intelligence (AI), Machine Learning and Deep Learning

Fundamentals of Machine Learning

Typical ML Tasks

Training Phase, Trained Model, Features

Supervised/Unsupervised/Semi-supervised Learning

Artificial Neural Networks (ANNs)

Deep Learning Architectures

Large Language Models (LLMs)

Contextual Prompting, RAG, Fine-Tuning

Foundation Models

Prompt, Tokens, Context Window

Prompt Engineering

Pretraining and Fine-tuning

Gen AI - Key Challenges and Limitations

Text-To-Text/Image/Video/Audio Models

Generative AI - Key Use Cases

Requirements

Nothing specific is needed to start the training program.

Description

The Future is HereStep into the fascinating realm of Generative AI, where machines create content with unprecedented creativity and intelligence. Generative AI is no longer a buzzword; it's reshaping industries and redefining possibilities, opening new doors to innovation and advanced applications. From art and music to healthcare and finance, its impact is undeniable. This course is your gateway to understanding the core concepts driving this revolution.Demystifying the ComplexNavigating the world of AI can be overwhelming. This course breaks down complex ideas into easy-to-understand concepts. Whether you're a student, tech enthusiast, a business leader, or simply curious, you'll find value in this comprehensive approach.Build a Strong FoundationGenerative AI is a rapidly evolving field with endless possibilities. This course will equip you with the fundamental theoretical knowledge needed to thrive in the AI-driven world. You'll gain a deep understanding of the AI landscape, the key machine learning building blocks, how Generative AI works, its potential applications, and market use cases across different sectors. We will also talk about limitations, challenges, and ethical considerations while leveraging this cutting-edge technology.Join the Gen AI RevolutionReady to embark on this transformative journey? Join me as we explore the exciting world of Generative AI.

Overview

Section 1: Getting Started

Lecture 1 Welcome!

Lecture 2 Any Question?

Section 2: Let's Build the AI Puzzle

Lecture 3 Introduction

Lecture 4 Artificial Intelligence (AI)

Lecture 5 Machine Learning (ML)

Lecture 6 Deep Learning (DL)

Lecture 7 Generative AI (Gen AI)

Lecture 8 Summary

Section 3: Soft Introduction to Machine Learning

Lecture 9 Introduction

Lecture 10 The ML Box (I/O)

Lecture 11 Typical ML Tasks

Lecture 12 Training Phase

Lecture 13 Y = F(X) - OMG!

Lecture 14 Data Types

Lecture 15 Features

Lecture 16 Please Call the Supervisor!

Lecture 17 Summary

Section 4: The Magic Behind Generative AI

Lecture 18 Introduction

Lecture 19 Artificial Neural Networks

Lecture 20 Deep Learning Architectures

Lecture 21 Foundation Models

Lecture 22 Large Language Models (LLMs)

Lecture 23 Model Types

Lecture 24 Prompt and Tokens

Lecture 25 Total Tokens and Context Window

Lecture 26 Next Token Please!

Lecture 27 Self-Supervised Learning

Lecture 28 Improving and Adapting LLMs

Lecture 29 Summary

Section 5: Key Challenges and Limitations

Lecture 30 Introduction

Lecture 31 Prompt Sensitivity

Lecture 32 Knowledge Cutoff

Lecture 33 It is not Deterministic

Lecture 34 Structured Data

Lecture 35 Hallucinations

Lecture 36 Lack of Common Sense

Lecture 37 Bias and Fairness

Lecture 38 Data Privacy, Security, and Misuse

Lecture 39 Summary

Section 6: Unleash the Power of Generative AI

Lecture 40 Introduction

Lecture 41 Text-Image-Video-Audio Generation

Lecture 42 Web-Based vs Application-Based (APIs)

Lecture 43 Use Case - Brainstorm Assistant

Lecture 44 Use Case - Summarization

Lecture 45 Use Case – Text Enhancement

Lecture 46 Use Case - Code Generation

Lecture 47 Use Case – Content as a Framework

Lecture 48 Use Case – Images on Demand

Lecture 49 Use Case – Boosting AI-Based Apps

Lecture 50 Best Practices for Prompts

Lecture 51 Summary

Section 7: Course Summary

Lecture 52 Let’s Recap

Lecture 53 Thank You!

Engineers,Software developers,IT Professionals,Product/Project/Marketing Managers,Solutions Architects