AI and machine learning · Free

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.

14 modules 9h 23m of video English · self-paced

Inside the course

AWS Certified AI Practitioner (AIF-C01) Exam Preparation: Syllabus at a glanceAWS Certified AI Practitioner (AIF-C01) Exam Preparation: What you will be able to doAWS Certified AI Practitioner (AIF-C01) Exam Preparation: Tools and credits

From the lessons

  • I Passed AWS AI Practitioner (AIF-C01) in 10 Hours - Here's How (2026)

    The AIF-C01 exam: domains, format, the 2026 revision and a study plan

    Cloud Ninja

  • ML Development Lifecycle & Generative AI Foundations (Domain 1): AWS AI Practitioner Exam Guide

    The ML lifecycle, model metrics, MLOps and SageMaker AI

    Ashish Prajapat

  • Generative AI Fundamentals (Domain 2.1): Concepts, Use Cases & Model Lifecycle Explained

    Generative AI fundamentals: tokens, embeddings, models and cost

    Ashish Prajapat

  • Applications of Foundation Models(Domain 3): — Design, RAG, Agents & Cost Tradeoffs Explained

    Designing foundation model applications: model choice, inference parameters and RAG

    Ashish Prajapat

  • Prompt Engineering for Generative AI (Domain 3): Techniques, Benefits & Risks Explained

    Prompt engineering and prompt management

    Ashish Prajapat

  • Responsible AI Development (Domain 4): Bias, Fairness, Legal Risks & AWS Tools Explained

    Responsible AI: fairness, explainability and Amazon Bedrock Guardrails

    Ashish Prajapat

Lesson frames belong to the creators named in the Credits below and are shown from YouTube.

What you will learn

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

For you

Taking AWS Certified AI Practitioner (AIF-C01) Exam Preparation from the United States

The course project · about 10 hours

Designing a maintenance manuals assistant on AWS: requirements, RAG architecture, guardrails, evaluation and governance

Design a generative AI assistant that answers technicians' questions from a plant's equipment manuals and procedures, the way an AI Practitioner would present it for approval: the requirements, the AWS architecture with a Bedrock knowledge base and the services chosen, the token volume and pricing mode, a guardrail specification, a risk register, an evaluation plan with results, and a governance register. A working demo in Amazon Bedrock or PartyRock is optional. The sample pack shows each document for a desalination plant in Oman.

Sample document pack, 5 documents, filled in for the scenario

  • URSUser requirements: maintenance manuals assistant
  • PlanSolution architecture and service choices
  • Risk registerAI risks: maintenance manuals assistant
  • Test reportEvaluation report: pilot of the manuals assistant
  • RegisterGovernance and security controls register

Read inside the course and download as a workbook. The project is optional practice, marked when you submit it; the certificate needs only the modules and the final assessment.

Course content

14 modules · 48 lessons · 9h 23m

In order, at whatever pace suits you. Each module ends with a practice task that builds on the last.

  1. 01The AIF-C01 exam: domains, format, the 2026 revision and a study plan21m
  2. 02AI and ML fundamentals: terms, learning types, data and use cases45m
  3. 03The ML lifecycle, model metrics, MLOps and SageMaker AI39m
  4. 04AWS managed AI services: vision, language, speech and documents44m
  5. 05Generative AI fundamentals: tokens, embeddings, models and cost35m
  6. 06AWS services for generative AI and Amazon Bedrock51m
  7. 07Designing foundation model applications: model choice, inference parameters and RAG31m
  8. 08Agentic AI on AWS: agents, MCP, Strands Agents, AgentCore and Kiro1h 8m

Requirements

Who it is for
Beginner. For engineers, IT and OT staff, graduates and managers who want a first cloud AI credential. No coding, machine learning or AWS experience is needed; comfort with a web browser and basic arithmetic is enough.
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. What to download, and how
Hardware
None.

Software you need

What to download, where from, what it costs and how to install it. Every link goes to the maker's own site, never a mirror.

Nothing to install

A web browser is enough for every module; a free AWS account is optional for the Amazon Bedrock tasks, and PartyRock needs no account at all.

Optional

Useful, not needed to finish the course.

  1. 01

    AWS Free Tier

    Amazon Web Services, in the browser

    Free plan: 6 months with credits
    Runs on
    Any modern web browser
    Account
    An AWS account, with a credit or debit card for verification

    New accounts can choose the Free plan: starting credits plus more earned by trying services, usable for up to 6 months. You are not charged unless you upgrade to the Paid plan. The Free plan account closes after 6 months or when credits run out; data is kept for 90 days, and you must upgrade to get it back. Over 30 services stay free within monthly limits.

    Open AWS Free Tieraws.amazon.com

Checked against each maker's own page on 27 September 2026. Trial lengths and editions change; the maker's page is the final word.

AWS Certified AI Practitioner (AIF-C01) Exam Preparation at a glance

AWS Certified AI Practitioner (AIF-C01) Exam Preparation is a free, self-paced online course from EDWartens for engineers, IT and OT staff, analysts and graduates preparing for AWS's AIF-C01 AI Practitioner exam. It has 14 modules and 9h 23m of video lessons by Ashish Prajapat, DeepWing, Amazon Web Services and others, with written notes and worked problems, a practical project with a document pack and a 15-question final assessment (pass mark 60%). Learning is free with an account; an optional certificate with a public verification code is issued when you pass. Last updated 27 September 2026.

All course facts
Price
Free, for good. No trial, no card. The only paid item is the optional certificate, a small one-off fee.
Who it is for
Engineers, IT and OT staff, analysts and graduates preparing for AWS's AIF-C01 AI Practitioner exam
Format
14 self-paced modules, 9h 23m of video, written notes, a practice task per module and one final assessment.
Level
Beginner. Beginner. For engineers, IT and OT staff, graduates and managers who want a first cloud AI credential. No coding, machine learning or AWS experience is needed; comfort with a web browser and basic arithmetic is enough.
Brand
Vendor-neutral
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.
Certificate
Optional EDWartens Certificate of Completion, verifiable by code. Not a vendor credential.
Video lessons by
Ashish Prajapat, DeepWing, Amazon Web Services, AWS Developers, AWS Events, Krish Naik, Be A Better Dev, Tiny Technical Tutorials, StatQuest with Josh Starmer, Kimberly Fessel, Anthony Shaw, KnoDAX, ImTechnos, Prof. Ryan Ahmed, Sahil Mahajan, AWS with Chetan, Caleb Writes Code, Cloud Ninja, Tech With Lucy (independent creators, credited below)
Language
English
Last updated
27 September 2026

A shareable EDWartens certificate

Finish every module and pass the final assessment, and the optional EDWartens certificate is yours. It carries a unique verification code on a public page anyone can check, so it stands up when a recruiter looks it up. See it below.

The course itself stays free whether or not you ever buy one.

Stuck? Ask a practising engineer

A free course usually means a comment section and hope. This one does not. Every module has an Ask-your-trainer panel that reaches the same engineers who teach our paid programme: people who commission panels for a living, not moderators.

Pairs well with

More free courses: Free AI courses for engineers · Free AI certification exam preparation courses

Learner reviews

No reviews yet

Reviews here are written only by learners who have finished every module of AWS Certified AI Practitioner (AIF-C01) Exam Preparation, and they are published exactly as written. Finish the course and yours will be the first.

Common questions

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 does the AWS Certified AI Practitioner course give?

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 the AWS Certified AI Practitioner 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 AWS Certified AI Practitioner 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.

What you walk away with

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

Finish the course, pass the final, and this is the document with your name on it.

Sample EDWartens Certificate of Completion for AWS Certified AI Practitioner (AIF-C01) Exam Preparation
Sample. The issued certificate carries your name, admission number, a unique certificate number and its own QR code.
  • Verifiable by anyone

  • Adds to LinkedIn in one click

  • QR code on the certificate

  • Names what you can do

  • A permanent link

  • Earned, not attended

Learning is free. The certificate is optional.

Add it now and pay only when you have finished the course, or come back for it later. One-off, US$23.99, with a receipt.

Issued by EDWartens, the training division of Wartens, as a Certificate of Completion for this self-paced course. Sold by Wartens Ltd (England and Wales). It is not a vendor certification, a university award or a CPD-accredited activity, and it does not certify competence on live equipment. Delivered electronically; see the refund policy.

Credits

Who made the video lessons

The video lessons in this course were created by the people below, not by EDWartens. Every lesson streams from its creator's own YouTube channel; EDWartens neither hosts nor sells that footage, and the creators are not affiliated with EDWartens and do not endorse this course. What EDWartens wrote is the study plan, the notes, the practice tasks and the assessments.

  • Ashish Prajapatthe 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
  • DeepWingthe 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 Servicesbuilding 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 Developersbuilding agents with Strands Agents, and the step-by-step guide to Amazon Bedrock Guardrails
  • AWS Eventsthe re:Inforce sessions on the Generative AI Security Scoping Matrix and on a security baseline for generative AI
  • Krish Naikthe Amazon Bedrock crash course
  • Be A Better Devthe comparison of Strands Agents and Amazon Bedrock AgentCore
  • Tiny Technical Tutorialsthe hands-on project chaining Amazon Textract, Comprehend and Bedrock
  • StatQuest with Josh Starmerthe confusion matrix
  • Kimberly Fesselprecision and recall with a clear example
  • Anthony Shawtokens, embeddings, vectors and similarity search
  • KnoDAXgenerative AI core concepts (tokens, chunking, context window, embeddings, transformers) and Amazon Bedrock model evaluation
  • ImTechnosthe hands-on LLM-as-a-judge evaluation in Amazon Bedrock
  • Prof. Ryan Ahmedzero-shot, few-shot and chain-of-thought prompting
  • Sahil Mahajanthe Amazon Textract overview and demo
  • AWS with Chetanthe overview of AWS generative AI services: Bedrock, AgentCore, Amazon Q, Amazon Quick and Kiro
  • Caleb Writes CodeKiro explained in five minutes
  • Cloud Ninjahow one candidate prepared for AIF-C01 in 2026
  • Tech With Lucyexam advice after passing AIF-C01, and whether the certification is worth it

If you are one of these creators and would like a lesson removed or credited differently, write to info@wartens.com.