Course 1: Generative AI Foundations

Module 1: Introduction to Generative AI

AWS Generative AI application ek aisi technology hai jo new content generate kar sakti hai, chahe woh text ho, images ho, videos ho, code ho ya music.
Iske contrast me, Traditional AI jahan rule-based systems par depend karta hai, wahin Generative AI learning aur creativity par focus karta hai.

Is module me, aap step-by-step yeh concepts seekhenge:

• Sabse pehle, Generative AI kya hai aur kaise kaam karta hai
• Uske baad, Traditional AI vs Generative AI ka clear comparison
• Phir, popular LLMs jaise GPT, Claude aur Llama ka overview
• Aur aakhir me, use cases including content writing, coding assistance, chatbots aur automation

Module 2: Foundation Models

Foundation models jaise GPT, Claude aur Titan Transformers architecture par based hote hain.

Yaha aap samjhoge:

• Transformer architecture basics
• Pre-training vs fine-tuning
• Prompt engineering fundamentals
• Temperature, tokens aur model parameters ka role

Module 3: AWS AI/ML Services Overview

AWS AI ecosystem industry me sabse mature aur scalable mana jata hai.

Is module me cover hoga:

• Amazon Bedrock introduction
• Amazon SageMaker overview
• AI workflows ke liye AWS Lambda
• Amazon Q AI assistant

Course 2: Building with Amazon Bedrock

Module 1: Amazon Bedrock Introduction

Amazon Bedrock AWS Generative Ai application ka foundation model hub hai jisme multiple powerful AI models available hain.

Yaha aap seekhenge:

• Bedrock console setup
• Available foundation models (Claude, Llama, Titan, etc.)
• Right model selection criteria
• Pricing aur cost optimization techniques

Module 2: Prompt Engineering

Prompt engineering AI ke saath effective communication ka sabse important skill hai.

Topics include:

• Effective prompting strategies
• Zero-shot, one-shot, few-shot learning
• Chain of thought prompting
• Prompt templates aur best practices

Module 3: RAG (Retrieval Augmented Generation)

RAG technique AI ko aapke documents se context provide karti hai.

Is module me seekhenge:

• Knowledge base setup
• Vector DB integration
• Embeddings generation
• Document retrieval logic
• Accuracy improve karne ki techniques

Module 4: Model Customization

Amazon Bedrock par aap apne models ko customize bhi kar sakte ho.

Aap seekhoge:

• Fine-tuning
• Continued pre-training
• Custom model deployment

Course 3: Developing AWS Generative AI Applications

Module 1: Application Architecture

Yaha aap end-to-end serverless AI applications banana seekhoge.

Topics include:

• Serverless architecture using Lambda
• API Gateway integration
• Event-driven design patterns
• Security best practices

Module 2: Chatbots & Conversational AI

Is module me aap real-world chatbots banayenge.

Topics:

• Amazon Lex integration
• Context management
• Multi-turn conversation flows
• Voice integration with Polly & Transcribe

Module 3: Content Generation Applications

Aap AI-based content creation tools develop karna seekhoge:

• Text generation pipelines
• Stable Diffusion ke saath image generation
• Code generation use cases
• Content moderation systems

Module 4: LangChain & AI Development Frameworks

LangChain modern AI application development ka powerful framework hai.

Yaha cover hoga:

• LangChain basics
• Agents aur tools
• Memory management
• Chains aur workflow automation

Course 4: Production Deployment & MLOps

Module 1: Model Deployment

Yaha aap real-world production AI deployment seekhoge.

Topics:

• SageMaker endpoints
• Real time vs batch inference
• A/B testing
• Versioning strategies

Module 2: Monitoring & Observability

AI models ko monitor karna equally important hai.

Aap seekhenge:

• CloudWatch metrics
• Model performance tracking
• Cost monitoring
• Logging best practices

Module 3: Responsible AI

Responsible AI har modern business ki requirement hai.

Topics:

• Bias detection
• Content filtering
• Privacy aur data protection
• Guardrails implementation

Module 4: Optimization & Scaling

Is module me aap AI systems ko scale karna seekhoge.

Topics:

• Inference optimization
• Caching strategies
• Load balancing
• Auto-scaling implementation

Hands-on Labs & Projects

Aap multiple real-world projects par kaam karoge:

• RAG-based Q&A system
• Customer service chatbot
• Content generator (blogs, summaries)
• Code assistant tool
• Image caption generator

Key AWS Generative ai Services You’ll Learn

• Amazon Bedrock
• Amazon SageMaker
• Amazon Lex
• AWS Lambda
• Amazon S3
• DynamoDB
• CloudWatch
• IAM

Prerequisites

• Basic Python knowledge
• AWS Free Tier account
• API basics
• Command-line usage