About the course

Description:

Become an expert in generative AI with this comprehensive masterclass. Learn how to create AI systems that can generate creative outputs such as art, music, and more. Dive deep into the world of generative algorithms and unleash your creativity like never before.

Key Highlights:

Master the art of generative AI
Create unique and creative AI outputs
Learn from industry experts
Hands-on projects and assignments

What you will learn:

Learn how to create generative AI models
Gain practical skills to develop AI systems that can generate unique outputs.
Explore advanced generative algorithms
Dive deep into the latest algorithms used in generative AI to enhance your projects.
Apply generative AI in real-world projects
Get hands-on experience by working on projects that leverage generative AI techniques.

Program Curriculum

Module 1: Introduction to Generative AI

Introduction to Generative AI
Applications and impact of Generative AI
Evolution and Architecture of Generative AI
How does LLM work?
Different types of Generative AI

Text generation
Image generation
Audio and speech recognition
Multi-modality

Foundation Models vs LLMs
Embedding vs Image generation vs Text and Code generation
How to improve LLM results?

Prompt Engineering with Context
Retrieval Augmented Generation (RAG)
Fine-tuned model
Trained model
Vector databases for Generative AI

Introduction to LangChain

Module 2: AWS for Generative AI Hands-on

Getting started with Amazon Bedrock
Choose from leading Foundation models:

AI21: Jamba, Jurassic
Amazon: Titan Models
Anthropic: Claude Models
Cohere: Command Models
Meta: Llama
Mistral AI
Stability AI Models

Experiment with Foundation models for different tasks:

Chat/text playground
Image playground

Choose the Best Foundation Model for Your Needs
Privately customize FMs with your data
Amazon Bedrock Converse API
Amazon Q – Generative AI Assistant
Amazon SageMaker for Generative AI
SageMaker JumpStart pre-trained models

Module 3: Prompt Engineering Hands-on

Introduction to Prompt Engineering
How Tokenization works
Necessity of Prompt Engineering
Basic Prompt Structure

Clear and direct instructions
Assigning Roles (Role Prompting)
Splitting Data from Instructions
Formatting Output using prompts
Step-by-step using Precognition
Using Examples in prompts

How to Avoid Hallucinations
Building Complex Prompts (Industry Use Cases)

Module 4: Amazon Bedrock Text Generation Hands-on

Text Generation
Leverage Amazon Bedrock to generate high-quality and contextually relevant text.
Bedrock model for code generation
Using Claude models for code generation
Text Summarization

Utilize Titan and Claude models to distill complex information into concise summaries.

Question Answering (QnA)

Build intelligent QnA systems with the capabilities of the Titan model.

Entity Extraction

Master advanced techniques for extracting critical entities from text.

Module 5: Amazon Bedrock Knowledge Bases and RAG Hands-on

Managed RAG
Retrieve and generate using managed RAG services.
LangChain RAG

Implement RAG workflows using LangChain for retrieval and generation.

Module 6: Image Generation and Multimodal Models Hands-on

Bedrock Titan Image Generator

Generate high-quality images using Bedrock Titan.

Bedrock Stable Diffusion XL

Create detailed images with the power of Stable Diffusion XL.

Bedrock Titan Multimodal Embeddings

Leverage Titan Multimodal embeddings for advanced multimodal AI tasks.

Module 7: Customizing Models via Fine-Tuning Hands-on

Model Customization Techniques
Fine-tuning Titan Lite and Llama2 models
Data preparation
Customizing hyperparameters
Fine-Tuning & Retrieve Custom Model
Invoke Custom Model
Continued Pre-training your foundation models

Module 8: AI Agents Hands-on

Introduction AI Agents
The Importance of AI Agents
Applications and Use Cases of AI Agents
Understanding the workflow of AI agents
What are AI agents made of?
Agents for Amazon Bedrock
Components of Bedrock Agents

Foundation model
Instructions
Action groups
Knowledge bases for Amazon Bedrock
Guardrails for Amazon Bedrock

Getting started with Amazon Bedrock Agents

Module 9: Responsible AI

What is responsible AI?
Challenges of responsible AI
Amazon services and tools for responsible AI
Building AI responsibly at AWS
Core dimensions of responsible AI
Implementing safeguards in generative AI
Amazon Bedrock Guardrails

Generative Ai Masterclass

About the course

Syllabus

Program Curriculum

Module 1: Introduction to Generative AI

Module 2: AWS for Generative AI Hands-on

Module 3: Prompt Engineering Hands-on

Module 4: Amazon Bedrock Text Generation Hands-on

Module 5: Amazon Bedrock Knowledge Bases and RAG Hands-on

Module 6: Image Generation and Multimodal Models Hands-on

Module 7: Customizing Models via Fine-Tuning Hands-on

Module 8: AI Agents Hands-on

Module 9: Responsible AI

What you’ll learn

Built for Novices

Create a habit

Learn with the best

Discover your niche

Reviews and Testimonials

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Generative Ai Masterclass

About the course

Syllabus

Program Curriculum

Module 1: Introduction to Generative AI

Module 2: AWS for Generative AI Hands-on

Module 3: Prompt Engineering Hands-on

Module 4: Amazon Bedrock Text Generation Hands-on

Module 5: Amazon Bedrock Knowledge Bases and RAG Hands-on

Module 6: Image Generation and Multimodal Models Hands-on

Module 7: Customizing Models via Fine-Tuning Hands-on

Module 8: AI Agents Hands-on

Module 9: Responsible AI

What you’ll learn

Built for Novices

Create a habit

Learn with the best

Discover your niche

Reviews and Testimonials