AWS AI & Gen AI Engineer Certification Training

AI Foundations

1. Introduction to Artificial Intelligence
2. Understanding Machine Learning
3. Types of Machine Learning
4. Introduction to Deep Learning
5. Machine Learning vs Deep Learning
6. Introduction to Generative AI
7. Introduction to Large Language Models (LLMs)
8. AWS AI and ML Services Overview
9. AWS AI Workloads & Use Cases
10. Responsible AI Principles
11. AI Practitioner & Generative AI Certification Overview

Working with AWS AI Services

1. Setting up AWS AI Services
2. AWS AI Service Deployment Options
3. Consuming AWS AI Services via Console, SDK, and API
4. Using AWS SDK (Boto3) for AI Operations
5. Securing AWS AI Services with IAM
6. Managing AI Costs and Budgets

Computer Vision with AWS

1. Introduction to Amazon Rekognition
2. Image and Video Analysis with Rekognition
3. Face Detection, Comparison, and Analysis
4. Object and Scene Detection
5. Optical Character Recognition (OCR) with Textract
6. Custom Vision Models using Amazon Lookout for Vision

Natural Language Processing with AWS

1. Amazon Comprehend Overview
2. Sentiment Analysis and Key Phrase Extraction
3. Named Entity Recognition (NER)
4. Language Detection and Translation with Amazon Translate
5. Building Q&A Systems with Amazon Lex and Comprehend
6. Custom Classification and Entity Recognition

Document Intelligence with AWS

1. Extract Structured Data with Amazon Textract
2. Automating Document Processing Workflows
3. Integrating Textract with Comprehend for Intelligent Extraction
4. Building End-to-End Document AI Pipelines

Amazon Bedrock (Generative AI)

1. Introduction to Amazon Bedrock
2. Overview of Foundation Models (Claude, Titan, Llama, Mistral)
3. Fine-Tuning and Prompt Engineering in Bedrock
4. Implementing Retrieval-Augmented Generation (RAG)
5. Image Generation with Stability AI (via Bedrock)
6. Prompt Design and Optimization Principles
7. Deploying Bedrock Models in Applications

Intelligent Search with Amazon Kendra

1. Introduction to Amazon Kendra
2. Architecture and Core Components
3. Data Sources, Crawlers, and Indexing
4. Implementing Semantic and FAQ Search
5. Integrating Kendra with Bedrock for RAG
6. Building AI-Powered Search Applications

Working with ChatGPT and Amazon Q

1. Understanding OpenAI and ChatGPT
2. Overview of Amazon Q (AWS GenAI Assistant)
3. Building AI Agents using Amazon Q Developer Tools
4. Code Generation and Debugging using ChatGPT and Q
5. Generating Documentation and Code Explainability
6. Multi-Language Translation and Code Refactoring

GitHub Copilot

1. What is GitHub Copilot?
2. Setting up GitHub Copilot with VS Code
3. Using Copilot for Code Generation and Optimization
4. Debugging and Testing with Copilot
5. Copilot X and Integration with ChatGPT and AWS Tools