Data & AI Lab Book a discovery call

Home / Roadmaps / AI Practitioner

Foundational · AIF-C01

AWS Certified AI Practitioner
roadmap

Follow an AWS Certified AI Practitioner roadmap for AIF-C01 with exam domains, an 8-week study plan, hands-on exercises and official AWS resources.

Who this path is for

Choose this certification when it matches your work.

People who use, explain or support AI solutions and want foundational knowledge of AI, ML, generative AI and AWS AI services.

Interactive learning path

AIF-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

AIF-C01 roadmap

AI and ML fundamentals

Explain AI, machine learning, deep learning, inference, training and common prediction use cases.

What to learn

  • AI and ML terminology
  • Supervised and unsupervised learning
  • Model training and inference
  • Business use cases

Primary resource

02

AIF-C01 roadmap

Generative AI fundamentals

Understand foundation models, prompts, tokens, embeddings, limitations and responsible use.

What to learn

  • Foundation models
  • Prompt engineering basics
  • Embeddings and vector search
  • Hallucination and bias

Primary resource

03

AIF-C01 roadmap

Foundation model applications

Learn how Amazon Bedrock supports model selection, customization, retrieval and application development.

What to learn

  • Amazon Bedrock capabilities
  • Model evaluation
  • RAG concepts
  • Agents and guardrails

Primary resource

04

AIF-C01 roadmap

Responsible AI

Recognize fairness, transparency, explainability, privacy, safety and human oversight concerns.

What to learn

  • Responsible AI dimensions
  • Bias and explainability
  • Data privacy
  • Human review

Primary resource

05

AIF-C01 roadmap

Security and governance

Apply basic access, encryption, compliance, monitoring and governance concepts to AI workloads.

What to learn

  • IAM and least privilege
  • Encryption and data protection
  • Governance controls
  • Monitoring

Primary resource

06

AIF-C01 roadmap

Exam readiness

Map your knowledge to the current exam guide and use official practice material to close gaps.

What to learn

  • Read the current exam guide
  • Take official practice questions
  • Review weak domains
  • Schedule only when ready

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 1Cloud, AI and ML vocabulary
  2. Week 2Machine learning use cases and lifecycle
  3. Week 3Generative AI and foundation models
  4. Week 4Amazon Bedrock and AWS AI services
  5. Week 5Foundation model applications and RAG
  6. Week 6Responsible AI, security and governance
  7. Week 7Domain review and hands-on exercises
  8. Week 8Official practice and final revision

Common questions

AI Practitioner FAQ

Is AWS AI Practitioner suitable for beginners?

Yes. AWS describes it as a foundational certification. Beginners should still learn basic AWS cloud concepts before starting exam-specific study.

Does AIF-C01 require coding?

The certification validates foundational knowledge rather than implementation depth. Small console exercises can make the concepts easier to remember.

How long should I study?

This roadmap uses eight weeks as a flexible planning example. Your preparation time depends on your AWS and AI experience and practice results.

What should I take after AI Practitioner?

Your next step depends on your role. Builders can consider associate-level data or machine learning certifications and the advanced Generative AI Developer path.