Udemy
Amazon Bedrock : Generative AI, AI Agents, MCP, EVALs, RAG
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Prepare to pass the AWS Certified Generative AI Developer - Professional (AIP-C01) exam with comprehensive practice tests designed by experienced cloud architects.
This course provides 195+ realistic practice questions covering all five exam domains with the exact weighting AWS uses:
Domain 1: Foundation Model Integration, Data Management & Compliance (31%) Master Amazon Bedrock Knowledge Bases, RAG architectures, vector stores including OpenSearch and Aurora pgvector, embedding models like Titan Embeddings V2, chunking strategies, and prompt engineering with Bedrock Prompt Management.
Domain 2: Implementation and Integration (26%) Learn Bedrock Agents, action groups, Step Functions orchestration, Lambda integration, streaming responses, MCP (Model Context Protocol), and Strands Agents with AWS Agent Squad.
Domain 3: AI Safety, Security, and Governance (20%) Understand Bedrock Guardrails, content filters, denied topics, PII protection, prompt injection defense, VPC endpoints, and responsible AI principles.
Domain 4: Operational Efficiency and Optimization (12%) Optimize token usage, implement semantic and prompt caching, configure provisioned throughput, and master CloudWatch monitoring with Model Invocation Logging.
Domain 5: Testing, Validation, and Troubleshooting (11%) Evaluate models using Bedrock Model Evaluations, LLM-as-a-Judge techniques, RAG metrics, and hallucination detection strategies.
Each question includes detailed explanations for all answer choices, helping you understand not just the correct answer but why other options fall short. Questions are scenario-based and reflect real-world GenAI implementation challenges on AWS.
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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