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EDWartens UK

Free course · AI and machine learning

AWS Certified AI Practitioner (AIF-C01) Exam Preparation

Preparation for the AWS Certified AI Practitioner exam (AIF-C01), organised around the five domains of the exam guide revised on 30 April 2026: AI and ML fundamentals, metrics and the ML lifecycle, managed AI services, generative AI and token cost, Amazon Bedrock, RAG and Knowledge Bases, agents with MCP, Strands Agents, AgentCore and Kiro, prompt engineering, customising and evaluating models, responsible AI and Guardrails, and security and governance. Preparation for the exam, not the AWS certification itself.

See the modules

Free to learn. Verifiable certificate £19 when you pass the final exam (optional, VAT included).

Level
Beginner
Modules
14
Video
14 hours
Price
Free

Outcome

What you will be able to do

Explain AI, ML, deep learning, generative AI and agentic AI and choose a learning type and technique for a problem; calculate precision, recall and F1 from a confusion matrix; match business needs to Rekognition, Textract, Comprehend, Transcribe, Translate, Polly, Lex and Amazon Q; estimate a workload's token volume and choose a Bedrock pricing mode; design a RAG application with Bedrock Knowledge Bases and set inference parameters; describe agents, MCP, Strands Agents, AgentCore and Kiro; write zero-shot, few-shot and chain-of-thought prompts and defend against prompt injection; choose between RAG, fine-tuning and distillation and evaluate with ROUGE, BLEU, BERTScore and LLM-as-a-judge; apply responsible AI with Guardrails and SageMaker Clarify; secure and govern an AI workload with IAM, KMS, PrivateLink, CloudTrail and the shared responsibility model; and sit the AIF-C01 exam with a plan.

  • Map the five AIF-C01 domains and the April 2026 revision to a study plan
  • Choose a learning type and technique, and calculate precision, recall and F1
  • Match business needs to AWS managed AI services by input and output
  • Explain tokens and embeddings, and estimate a workload's token volume and pricing mode
  • Design RAG with Amazon Bedrock Knowledge Bases and set inference parameters
  • Describe agents, MCP, Strands Agents, Bedrock AgentCore and Kiro, with human approval for actions
  • Evaluate models with ROUGE, BLEU, BERTScore and LLM-as-a-judge, and apply Bedrock Guardrails
  • Secure and govern AI on AWS with IAM, KMS, PrivateLink, CloudTrail and the scoping matrix

Software

A web browser. A free AWS account for the optional Amazon Bedrock practice tasks: new accounts on the AWS Free Tier free plan receive credits that cover them (check the current terms and set a zero-spend budget alert first). PartyRock, AWS's free no-code playground, replaces the account for the prompt tasks. AWS Skill Builder's free exam-prep course and practice question set are recommended.

Hardware

None.

Syllabus

14 modules

Each module has video lessons, notes and a short quiz. The final exam closes the course.

  1. 1The AIF-C01 exam: domains, format, the 2026 revision and a study plan2 lessons
  2. 2AI and ML fundamentals: terms, learning types, data and use cases4 lessons
  3. 3The ML lifecycle, model metrics, MLOps and SageMaker AI4 lessonsLab
  4. 4AWS managed AI services: vision, language, speech and documents3 lessons
  5. 5Generative AI fundamentals: tokens, embeddings, models and cost4 lessons
  6. 6AWS services for generative AI and Amazon Bedrock3 lessons
  7. 7Designing foundation model applications: model choice, inference parameters and RAG3 lessonsLab
  8. 8Agentic AI on AWS: agents, MCP, Strands Agents, AgentCore and Kiro5 lessonsLab
  9. 9Prompt engineering and prompt management3 lessonsLab
  10. 10Customising and evaluating foundation models6 lessons
  11. 11Responsible AI: fairness, explainability and Amazon Bedrock Guardrails4 lessonsLab
  12. 12Security, compliance and governance for AI on AWS5 lessons
  13. 13Exam strategy and full review across the five domains1 lesson
  14. 14Final Assessment1 lesson

How it works

How this course works

  1. Watch the video lessonsOne module at a time, at your own pace.
  2. Take the module quizA short quiz at the end of each module shows what stuck.
  3. Keep your notesWrite in My notes beside each module and ask the trainer if you are stuck.
  4. Practise in the labOptionalTry a task from the module in the EDWartens Lab, in your browser.
  5. Sit the final examPass it once you have been through the modules.
  6. Certificate, if you want oneOptionalPaid, and only after you pass. Anyone can check it online.

EDWartens Lab

Practise this in the EDWartens Lab

Practise the ideas behind the exam topics in the AI Workbench: metrics and overfitting, prompts, retrieval with citations, agent limits and fairness, with nothing to install.

Works alongside AWS Certified AI Practitioner (AIF-C01) Exam Preparation. The Lab is ai for industry practice in your browser: no install, no hardware, free to use. Sign in as a learner and it opens with your account.

Open the free lab See the Lab
AI for industry: Build AI models.

Levels to try with this course

Optional. Skip it whenever you like: it never blocks your progress or your certificate.

Why practise in a lab

Technical work is judged on what you can do: wiring, commissioning, finding a fault. Doing a task yourself teaches more than watching it a second time, and a lab lets you try it safely before you meet real equipment. It does not replace working on real hardware.

  • Practise safely, so a mistake costs nothing.
  • The lab checks your work like a site test, so you know when it is right.
  • Free, in your browser, with nothing to install.

Certificate

An optional certificate when you pass

Learning is free. Pass the final exam and you can have a certificate for £19, including VAT, with a number employers can check online. It records that you completed a free online course; it is not a regulated qualification or a CPD certificate.

  • Your name, the course, its study time and your final exam score
  • A unique certificate number and a QR code to its verification page
  • Issued by Wartens Ltd; add it to your LinkedIn profile in one click
  • Pay now or after you pass: it is issued the moment you pass the final

How the certificate works

Sample certificate for AWS Certified AI Practitioner (AIF-C01) Exam Preparation

Credits

Who made the lessons

The video lessons belong to their creators. EDWartens wrote the study plan, notes, quizzes and the final exam.

  • Ashish Prajapat

    the AIF-C01 domain-by-domain series: AI and ML fundamentals, use cases and pipelines, the ML lifecycle, generative AI fundamentals, GenAI for business, AWS GenAI infrastructure and cost, applications of foundation models, prompt engineering, training and fine-tuning, evaluating foundation models, responsible AI, transparent and explainable models, securing AI systems, and governance and compliance

  • DeepWing

    the AIF-C01 Exam Cram series on AI and ML fundamentals (two parts), Amazon Comprehend, Amazon SageMaker, Amazon Bedrock, Bedrock Agents, advanced prompt engineering and Amazon Q, AWS security services for AI and responsible AI, and the last-minute cram session used for the review

  • Amazon Web Services

    building a RAG chatbot with an Amazon Bedrock knowledge base, deploying agents with Amazon Bedrock AgentCore, customising foundation models with SageMaker AI, and SageMaker JumpStart

  • AWS Developers

    building agents with Strands Agents, and the step-by-step guide to Amazon Bedrock Guardrails

  • AWS Events

    the re:Inforce sessions on the Generative AI Security Scoping Matrix and on a security baseline for generative AI

  • Krish Naik

    the Amazon Bedrock crash course

  • Be A Better Dev

    the comparison of Strands Agents and Amazon Bedrock AgentCore

  • Tiny Technical Tutorials

    the hands-on project chaining Amazon Textract, Comprehend and Bedrock

  • StatQuest with Josh Starmer

    the confusion matrix

  • Kimberly Fessel

    precision and recall with a clear example

  • Anthony Shaw

    tokens, embeddings, vectors and similarity search

  • KnoDAX

    generative AI core concepts (tokens, chunking, context window, embeddings, transformers) and Amazon Bedrock model evaluation

  • ImTechnos

    the hands-on LLM-as-a-judge evaluation in Amazon Bedrock

  • Prof. Ryan Ahmed

    zero-shot, few-shot and chain-of-thought prompting

  • Sahil Mahajan

    the Amazon Textract overview and demo

  • AWS with Chetan

    the overview of AWS generative AI services: Bedrock, AgentCore, Amazon Q, Amazon Quick and Kiro

  • Caleb Writes Code

    Kiro explained in five minutes

  • Cloud Ninja

    how one candidate prepared for AIF-C01 in 2026

  • Tech With Lucy

    exam advice after passing AIF-C01, and whether the certification is worth it

Questions

About this course

Is this the AWS Certified AI Practitioner certification?
No. It is preparation for AWS's AIF-C01 exam, organised around the exam guide version 1.1 published on 30 April 2026 (checked on 5 October 2026). The AWS Certified AI Practitioner certification is awarded only by AWS to candidates who pass its proctored exam, which you book and pay for with AWS through Pearson VUE. EDWartens is not affiliated with AWS, and every practice question here is original.
What certificate do I get?
An EDWartens Certificate of Completion, issued when you finish the modules and pass the 15-question final at 60 percent, with a number anyone can verify on our site. It is a certificate of completion for a preparation course, not an AWS certification, and it is never described as one.
Is the course free to learn?
Yes. Every module, the notes, the practice tasks, the project and the final assessment are free. Only the EDWartens certificate is paid, if you want one. The AWS exam itself is booked and paid for separately with AWS.
Does the course cover the 2026 exam changes such as AgentCore, Strands Agents and Kiro?
Yes. The April 2026 guide added agentic AI, the Model Context Protocol, Amazon Bedrock AgentCore, Strands Agents, Kiro, Bedrock Prompt Management, token-based pricing, context engineering and LLM-as-a-judge. A whole module covers agents and the notes cover every added objective, because some popular videos were recorded before the revision.
Do I need an AWS account or coding skills?
No coding is needed; the exam does not test it. The hands-on tasks use the Amazon Bedrock console with a free AWS account on the Free Tier free plan, or PartyRock, which needs no account. Every task can also be done on paper from the videos and notes.
Who is this course for?
Engineers, IT and OT staff, analysts, project managers and graduates anywhere who want a first cloud AI credential and need to speak confidently about AI on AWS. The exam guide's target candidate has up to six months of exposure to AI on AWS and uses rather than builds AI solutions.
How long does the course take?
About 14 hours of video, notes and practice at your own pace, of which about 9.4 hours is video. The optional project takes about 10 hours more. Most learners plan four weeks before booking the exam.
What should I take next?
Generative AI and LLM Foundations and RAG and Chatbots with LangChain go deeper into building what this exam describes, and AI Agents and MCP for Engineers covers agents in code. For a second exam, Microsoft Azure AI Fundamentals (AI-901) Exam Preparation covers the same ideas on Azure.

The Professional Module is five live days of Siemens PLC, HMI and SCADA with an instructor, then a resume session and a CPD certificate.

See the Professional Module