AWS AIP-C01 4-Week Final Prep Plan for Working AWS/GenAI Developers

Updated August 2026: This plan has been corrected and rewritten. AIP-C01 is the AWS Certified Generative AI Developer - Professional exam — a professional-level, 180-minute, 75-question certification, not a foundational crash-course exam. Because of that, this “4-week” plan is a final-review sprint for people who already build production applications on AWS and already have hands-on generative AI experience, per AWS’s own target-candidate description. It is not a plan for learning AWS or generative AI from zero in four weeks — nobody should attempt that for a professional-level exam.

If that describes you — you already build on AWS, you already work with Bedrock or similar GenAI tooling day to day, and you need a structured final push before exam day — this plan is for you. If you do not yet have that hands-on foundation, read our complete AIP-C01 study guide first and plan for 6-10 weeks of preparation instead.

Before You Start

You need three things before day one:

1. Existing hands-on Bedrock/GenAI experience. This plan assumes you can already invoke a foundation model, wire up a basic RAG pipeline, and navigate the Bedrock console without a tutorial.
2. Practice questions — StudyKits has dedicated AIP-C01 question sets across all five domains, used throughout this plan to surface gaps.
3. A note-taking system for concepts and service details you get wrong on practice questions — this becomes your final-review cheat sheet.

Week 1: Foundation Model Integration and Data Management (Domains 1-2, 57% of the exam)

Day 1-2: Bedrock Model Selection and RAG Architecture

Review foundation model families available on Bedrock (Anthropic Claude, Meta Llama, Amazon Titan, Mistral) and the tradeoffs between them — cost, latency, context window, capability. Review RAG architecture end to end: chunking strategy, embeddings, vector store choice, retrieval, and generation.

Practice target: 1 question set on foundation model integration.

Day 3-4: Knowledge Bases and Data Pipelines

Review Bedrock Knowledge Bases configuration, data source ingestion, chunking strategies, and data governance/compliance considerations specific to GenAI data pipelines.

Practice target: 1 question set on data management and compliance.

Day 5: Week 1 Review

Take 2 mixed question sets covering Domains 1 and 2. For every miss, write down the correct answer and why. Update your cheat sheet.

Practice target: 2 mixed question sets. Aim for 75%+ accuracy given your existing hands-on background.

Week 2: Implementation, Integration, and AI Safety (Domains 2-3, 46% of the exam)

Day 6-7: Agentic Workflows and Orchestration

Review Bedrock Agents, action groups, and multi-step orchestration patterns using Step Functions, Lambda, and EventBridge around foundation model calls.

Practice target: 2 question sets on implementation and integration.

Day 8-9: Guardrails, Security, and Governance

Review Bedrock Guardrails (content filters, topic restrictions, PII redaction), IAM scoping for Bedrock resources, model versioning, and governance/approval workflows for production GenAI systems.

Practice target: 2 question sets on AI safety, security, and governance.

Day 10: Week 2 Review

Take 2 mixed question sets covering implementation, security, and governance. Focus on scenario questions that require choosing the right combination of services.

Practice target: 2 mixed question sets. Aim for 75%+ accuracy.

Week 3: Operational Efficiency, Testing, and Troubleshooting (Domains 4-5, 23% of the exam)

Day 11-12: Cost and Performance Optimization

Review token-based pricing, provisioned throughput vs on-demand inference decisions, and performance tuning for production GenAI workloads at scale.

Practice target: 1 question set on operational efficiency.

Day 13-14: Testing, Evaluation, and Troubleshooting

Review foundation model output evaluation techniques, testing strategies for non-deterministic systems, and common production failure modes (hallucination, latency spikes, cost overruns) and how to diagnose them.

Practice target: 1 question set on testing, validation, and troubleshooting.

Day 15: Week 3 Review

Take 2 mixed question sets covering Domains 4 and 5. These are smaller domains but still worth roughly a quarter of your score combined — do not skip them because they are “only” 12% and 11%.

Practice target: 2 mixed question sets. Aim for 75%+ accuracy.

Week 4: Full Review and Exam Simulation

Day 16: Full Practice Exam 1

Take a complete 75-question practice exam under timed conditions (180 minutes). Review every question afterward, correct and incorrect, and note every concept you were unsure about.

Target: Complete the exam and identify your 3 weakest domains.

Day 17: Targeted Review Session 1

Revisit your weakest domains from the practice exam in depth. 2-3 targeted question sets.

Practice target: 2-3 targeted question sets. Aim for 80%+ on weak areas.

Day 18: Service and Architecture Mapping

Review your cheat sheet end to end. For every service on the exam — Bedrock, Agents, Knowledge Bases, Guardrails, Step Functions, OpenSearch Serverless as a vector store — you should be able to state what it does, when to use it, and its key limits. Take 2 scenario-heavy question sets.

Practice target: 2 question sets focused on architecture selection scenarios.

Day 19: Full Practice Exam 2

Take another full-length practice exam under timed conditions. Compare against your first attempt.

Target: 80%+ overall score.

Day 20: Final Review

Light review only — 1 question set maximum. No new material. Go to bed early.

Daily Time Breakdown

• 0:00-0:40 — Study new material or review documentation
• 0:40-1:10 — Practice questions in StudyKits
• 1:10-1:30 — Review wrong answers and update your cheat sheet

Tips for Staying on Track

Do not skip the weekly review days. They force you to apply knowledge across domains instead of studying each one in isolation, which is closer to how the exam actually tests you.

Track your practice exam scores over time. A flat or declining trend tells you exactly where to redirect your remaining study time.

Lean on your existing experience. This plan works in four weeks specifically because it assumes you are not learning Bedrock, RAG, or agentic patterns from scratch — you are mapping knowledge you already have onto the exam’s specific domain structure and terminology.

Four weeks is realistic for this exam only with a genuine AWS and GenAI development background behind you. Follow the plan, do your daily practice questions in StudyKits, and walk into the 180-minute exam ready.