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Independent study system · Amazon Web Services

AWS Certified Generative AI Developer - Professional

A production-focused AIP-C01 learning system for foundation models, data, RAG, agents, safety, governance, operations, evaluation, and troubleshooting.

By

Exam code AIP-C01 · AIP-C01 · facts checked
Current exam snapshot

AIP-C01 at a glance

inferred
Version
AIP-C01
Effective
2026-04-01
Time
180 minutes
Items
75
Scored / unscored
65 / 10
Passing standard
750 on AWS's 100–1,000 scaled score

Formats: multiple-choice, multiple-response.

Delivery: Pearson VUE testing center or Online proctored exam.

AWS states that beta registration ended March 31, 2026; this date is an inference for the standard-exam transition, not a provider-published effective date.

Baitaphish raw percentages are not AWS scaled scores.

Who this system is for

Provider statement · official

Provider target

Two or more years building production applications on AWS or open-source technology, general AI/ML or data engineering experience, and one year implementing GenAI solutions.

Preparation prerequisites

  • Production application development
  • AWS compute, storage, and networking
  • AWS identity and security practices
  • Infrastructure as code and deployment
  • Monitoring, observability, and cost
  • Basic ML, embeddings, retrieval, and evaluation concepts
Foundation-path triggers
  • Cannot implement a signed AWS API request through an SDK
  • Cannot explain identity versus authorization
  • Has never deployed and rolled back an application change
  • Cannot define a representative evaluation dataset
Blueprint coverage

Official domains and objective lessons

20 objectives
D1 · 31%

Foundation Model Integration, Data Management, and Compliance

Translate requirements into model, data, retrieval, prompt, and compliance decisions with measurable quality and traceable governance.

  • 1.1 Determine requirements and design the solution
  • 1.2 Select and configure foundation models
  • 1.3 Validate and process data
  • 1.4 Implement vector stores
  • 1.5 Implement retrieval augmentation
  • 1.6 Apply prompt strategies and governance
Open domain lesson →
D2 · 26%

Implementation and Integration

Implement secure model APIs, deterministic workflows, agents, tools, enterprise integrations, deployment, and production application patterns.

  • 2.1 Implement agents and tools
  • 2.2 Deploy GenAI applications
  • 2.3 Integrate enterprise systems
  • 2.4 Use foundation model APIs
  • 2.5 Apply application patterns and development tools
Open domain lesson →
D3 · 20%

AI Safety, Security, and Governance

Defend inputs, outputs, identities, data, models, tools, and decisions while operationalizing privacy, compliance, responsible AI, and human oversight.

  • 3.1 Implement input and output safety
  • 3.2 Protect data security and privacy
  • 3.3 Implement AI governance and compliance
  • 3.4 Apply responsible AI
Open domain lesson →

Learn, apply, assess

Diagnose

Route preparation depth

25 objective-linked items route the 7-, 14-, or 30-day path.

Open diagnostic →
Schedule

Every day is actionable

Lesson, decision matrix, application, recall, check, and remediation are specified for each day.

Choose a study plan →
Apply

8 labs or scenarios

Each includes prerequisites, cost, procedure, validation, cleanup, objectives, and publication status.

Review applications →
Recall

40 source-linked cards

Keyboard-operable recall with private mastery tracking.

Study flashcards →
Compare

6 decision matrices

Practice choosing controls and patterns from requirements, failure modes, and evidence.

Open cheat sheet →
Assess

Two fresh mixed sets

Internal raw-score practice with domain floors and readiness hard gates; never provider score equivalence.

Open practice center →

Version and scope notes

  • AIP-C01 is now presented by AWS as a standard 180-minute, 75-item exam.
  • Domain 1 is Foundation Model Integration, Data Management, and Compliance.
  • The current guide includes five scored domains and current AgentCore-related service scope.
Go deeper

Apply the blueprint to sourced architecture research

Private by design

Progress on this device

0/56lessons
0/8applications
0/40flashcards
0assessment attempts

Scores, confidence, answers, and weak objectives remain in browser storage and are not sent to Baitaphish.

Trust and provenance

Editorial record

Content owner
Baitaphish curriculum
Last reviewed
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AI-assistance disclosure

AI assisted with curriculum drafting and implementation. Provider facts were rechecked against first-party sources. Questions and application procedures remain separately gated until named technical review and execution validation.

This record says human review did not occur.

Sources