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Professional · AIP-C01

AWS Certified Generative AI Developer – Professional
roadmap

Prepare for AWS Certified Generative AI Developer Professional with an AIP-C01 roadmap covering Bedrock, RAG, agents, deployment, security and operations.

Who this path is for

Choose this certification when it matches your work.

Experienced developers who build, deploy and operate production-ready generative AI applications on AWS.

Interactive learning path

AIP-C01 topics, in a practical order.

Open every topic for learning objectives and its primary AWS resource. Check off a topic when you can explain and apply it.

01

AIP-C01 roadmap

AWS developer foundations

Build fluency in Python, APIs, IAM, networking, storage, compute and infrastructure as code.

What to learn

  • AWS SDK and APIs
  • IAM roles and policies
  • Networking basics
  • Repeatable deployments

Primary resource

02

AIP-C01 roadmap

Foundation model integration

Select and invoke models through Amazon Bedrock using testable prompts and structured outputs.

What to learn

  • Model selection
  • Prompt management
  • Inference parameters
  • Error and quota handling

Primary resource

03

AIP-C01 roadmap

RAG and knowledge bases

Ground responses in authorized enterprise content with retrieval, metadata filters and citations.

What to learn

  • Chunking and embeddings
  • Vector stores
  • Retrieval evaluation
  • Source attribution

Primary resource

04

AIP-C01 roadmap

Agents, tools and safety

Design controlled multi-step workflows with tool permissions, guardrails and human approval.

What to learn

  • Agent orchestration
  • Tool schemas
  • Guardrails
  • Prompt injection defenses

Primary resource

05

AIP-C01 roadmap

Deployment and integration

Build resilient APIs and event-driven workflows around generative AI applications.

What to learn

  • API Gateway and Lambda
  • Queues and workflows
  • Caching and streaming
  • Infrastructure as code

Primary resource

06

AIP-C01 roadmap

Evaluation and operations

Measure quality, safety, latency, reliability and cost in production.

What to learn

  • Offline evaluation sets
  • Observability
  • Cost controls
  • Incident response

Primary resource

07

AIP-C01 roadmap

Exam readiness

Use the current exam guide and official practice resources to identify remaining gaps.

What to learn

  • Review the exam scope
  • Practice scenarios
  • Revisit weak objectives
  • Validate hands-on fluency

Primary resource

Flexible study plan

A week-by-week preparation schedule.

Use this as a planning example and adjust it after an official practice assessment.

  1. Week 1–2AWS development, identity and infrastructure
  2. Week 3–4Bedrock models, prompts and inference
  3. Week 5–6RAG, embeddings and knowledge bases
  4. Week 7–8Agents, tools, guardrails and security
  5. Week 9–10Deployment, integration and reliability
  6. Week 11Evaluation, observability and cost
  7. Week 12Official practice and targeted review

Common questions

Generative AI Developer FAQ

Who should take AIP-C01?

It is designed for experienced builders. AWS recommends production application experience plus hands-on generative AI implementation experience.

Do I need another AWS certification first?

AWS lists no mandatory prerequisite certification, although prior AWS architecture, developer, data or AI knowledge can help.

Is Amazon Bedrock enough for preparation?

Bedrock is central, but production readiness also requires identity, networking, deployment, observability, evaluation, security and cost skills.

Should beginners start here?

Most beginners will benefit from foundational AWS learning and AI Practitioner before attempting this professional-level path.