AWS Certified Generative AI Developer – Professional
Professional AWS GenAI development program—build production applications with Amazon Bedrock, Knowledge Bases, RAG, Strands agents, Bedrock Agents, AgentCore, Guardrails, and SDK workflows aligned to the AWS Certified Generative AI Developer – Professional (AIP-C01) exam.
4.8
(440 students)
8 Weeks · 60 hours
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What is this course about?
AWS Certified Generative AI Developer – Professional
AIP-C01 · Production GenAI on Amazon Bedrock
Build and ship enterprise generative AI on AWS: Bedrock APIs, RAG with Knowledge Bases, Strands agents, Bedrock Agents/AgentCore, Guardrails, and production ops—aligned to AIP-C01.
What you'll walk away with:
- Production Bedrock apps using Converse API, streaming, and SDK patterns
- RAG pipelines with retrieval quality checks and citation patterns
- Agentic workflows with Strands, Bedrock Agents, and AgentCore orchestration
- Guardrails, IAM, and observability for secure enterprise GenAI
- Capstone-ready skills and AIP-C01 domain practice
Course Features
Post Graduate Diploma
8 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Karthik Iyer
Strands + AgentCore labs are current—not outdated console walkthroughs. RAG citation lab became our internal reference implementation.
Zoho AI EngineeringNina Patel
Production Bedrock Converse/streaming patterns plus Guardrails. Capstone agentic assistant was interview-ready on AIP-C01 topics.
PwC GenAI DeliveryDavid Okonkwo
Knowledge Bases RAG tuning was the missing piece from free tutorials. Agent action-group lab matched how we integrate Lambda tools.
Lagos Enterprise AWS TeamHannah Brooks
Dense but practical—every module has Labs. Best professional GenAI-on-AWS curriculum I’ve used for team upskilling.
US Healthcare AI Platform
