Bridge the gap between AI theory and production-grade applications with the most comprehensive prep guide for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam.Generative AI is moving from experimental "chatbots" to mission-critical enterprise systems. The AIP-C01 is the premier professional-level credential for developers who can architect, secure, and scale these solutions on the world’s leading cloud platform. This course is designed to take you deep into the Amazon Bedrock and SageMaker ecosystems, focusing on the real-world integration of Foundation Models (FMs) into scalable software architectures.Rather than just focusing on prompt engineering, we dive into the "Plumbing of AI"—building robust Retrieval-Augmented Generation (RAG) pipelines, orchestrating multi-step Agents, and implementing enterprise-grade Guardrails to ensure safety and compliance.What You Will Master:Model Orchestration: Master Amazon Bedrock to invoke, stream, and manage models like Claude 3.5, Llama 3, and Amazon Titan.Advanced RAG Pipelines: Build "long-term memory" for your AI using Knowledge Bases for Bedrock and vector databases like Amazon OpenSearch Serverless and Aurora pgvector.Agentic Workflows: Create Agents for Amazon Bedrock that don't just talk, but act by executing API calls and Lambda functions to complete complex tasks.Responsible AI & Governance: Implement Guardrails for Bedrock to filter toxic content and PII, and use AWS PrivateLink to ensure your data never leaves the AWS network.Performance & Optimization: Compare models using Model Evaluation and optimize co
What you'll learn
Model orchestration using Amazon Bedrock
Building advanced Retrieval-Augmented Generation pipelines
Creating agentic workflows that execute complex tasks
Implementing responsible AI guardrails and governance measures
Performance and optimization of generative AI models
Course objectives
Prepare for the AIP-C01 exam
Develop production-grade AI solutions using AWS tools