CertOcean's AWS Certified AI Practitioner (AIF-C01) training is a live, instructor-led online course that prepares you for the AWS Certified AI Practitioner (AIF-C01) certification exam. You learn in 8 live sessions (16 hours in total) with an expert instructor and work through 8 curriculum modules.
About the AWS Certified AI Practitioner (AIF-C01) training
The AWS Certified AI Practitioner (AIF-C01) is a foundational AWS certification that shows you understand AI, machine learning and generative AI, and can pick the right AWS AI service for a business problem. CertOcean's course follows the five exam domains in a practical order: AI and ML fundamentals, generative AI fundamentals, applications of foundation models, responsible AI, and security, compliance and governance. Each session pairs a short explanation with a real AWS console walk-through, so the service names stick.
The AWS AI Practitioner fits people who work with AI but do not build models: product managers, business analysts, project managers, sales engineers, IT support and cloud beginners. It is also a quick first win before the AWS Machine Learning Engineer Associate or the AWS Solutions Architect Associate.
What you'll learn in this course
Explain AI, machine learning, deep learning and generative AI in plain business terms
Choose between Amazon Bedrock, Amazon SageMaker, Amazon Q and other AWS AI services for a use case
Use prompt engineering, retrieval augmented generation (RAG) and fine-tuning the way the exam expects
Spot bias, hallucinations and other responsible AI risks, and the AWS tools that reduce them
Apply the shared responsibility model, IAM and data protection to AI workloads
Pace yourself through 65 questions in 90 minutes with full-length AIF-C01 mock exams
What is CertOcean's AWS Certified AI Practitioner course?
CertOcean's AWS Certified AI Practitioner course is live online training for the AIF-C01 exam. It runs as 8 sessions of about 2 hours with an experienced instructor, covers all five exam domains, and ends with full-length mock exams and a personal study plan for your weak domains. Sessions are recorded, so you can catch up if you miss one.
What is the AIF-C01 exam?
AIF-C01 is the exam for the AWS Certified AI Practitioner certification. It tests whether you understand AI, ML and generative AI concepts and AWS AI services well enough to take part in AI projects. It is a foundational exam: you are not asked to write code or train models.
What are the AIF-C01 exam details?
Issued by: Amazon Web Services (AWS)
Exam code: AIF-C01
Questions: 65 (50 scored and 15 unscored), including multiple choice, multiple response, ordering, matching and case study items
Time: 90 minutes
Passing score: 700 on a 100 to 1,000 scale
Exam fee: US$100
Delivery: Pearson VUE test center or online proctored
Domains: Fundamentals of AI and ML (20%), Fundamentals of Generative AI (24%), Applications of Foundation Models (28%), Guidelines for Responsible AI (14%), Security, Compliance and Governance for AI Solutions (14%)
Valid for: 3 years
Exam facts checked November 2026. Confirm on aws.amazon.com before you book.
How long does it take to prepare for the AWS AI Practitioner exam?
Most people are ready in 3 to 5 weeks at 5 to 6 hours a week. If you already hold the AWS Cloud Practitioner, 2 to 3 weeks is common, because you know the AWS basics the AI exam assumes. Book the exam once you score 80% or more on two different full-length mock exams.
What jobs does the AWS AI Practitioner certification help with?
It helps in roles that work with AI without building it: product manager, business analyst, project manager, presales or solutions consultant, cloud support and IT manager. Employers adding generative AI to their products want people who can talk about Bedrock, RAG and responsible AI with confidence, and this certification shows that.
Curriculum
AWS Certified AI Practitioner (AIF-C01) course syllabus
8 modules · 40 topics · 16 hours of live training
01AI and Machine Learning Fundamentals5 topics
AI vs ML vs deep learning vs generative AI
Supervised, unsupervised and reinforcement learning
Training data, features, labels, inference and evaluation metrics
When ML is the right tool and when it is not
You will be able to: explain core AI terms and pick the right type of learning for a problem.
02The ML Lifecycle on AWS5 topics
Data collection, preparation and feature engineering
Amazon SageMaker for building, training and deploying models
MLOps basics: monitoring, drift and retraining
Managed AI services: Rekognition, Comprehend, Transcribe, Translate, Textract, Polly and Lex
You will be able to: map each step of the ML lifecycle to the AWS service that handles it.
03Generative AI Fundamentals5 topics
Foundation models, large language models, tokens and embeddings
Context windows, temperature and other inference settings
Strengths, limits and costs of generative AI
Hallucinations and how to reduce them
You will be able to: describe how generative AI works and where it fits a business case.
04Amazon Bedrock and Amazon Q5 topics
Choosing a foundation model on Amazon Bedrock
Bedrock Knowledge Bases, Agents and Guardrails
Amazon Q Business and Amazon Q Developer
Pricing models: on-demand, provisioned throughput and batch
You will be able to: pick the right Bedrock feature or Amazon Q product for a scenario.
05Applications of Foundation Models5 topics
Prompt engineering: zero-shot, few-shot and chain-of-thought
Retrieval augmented generation (RAG) and vector databases
Fine-tuning vs continued pre-training vs RAG
Evaluating model output: ROUGE, BLEU, BERTScore and human review
You will be able to: decide between prompting, RAG and fine-tuning, the largest exam domain.
06Responsible AI5 topics
Bias, fairness, explainability and transparency
SageMaker Clarify, Model Monitor and Augmented AI (A2I)
Bedrock Guardrails and content filtering
Model cards and documentation
You will be able to: identify responsible AI risks and the AWS tools that address them.
07Security, Compliance and Governance for AI5 topics
Shared responsibility model for AI workloads
IAM, encryption, VPC endpoints and data privacy
AWS Config, CloudTrail, Audit Manager and Artifact
Data governance, lineage and retention
You will be able to: secure an AI solution and show auditors how it is governed.
08Exam Strategy and Full Mock Exams5 topics
Two full 65-question mock exams under a 90-minute timer
How long is the AWS Certified AI Practitioner (AIF-C01) course, and when does it start?
The course runs for 16 hours of live, instructor-led online training across 8 sessions. Weekend and weekday batches are available, and the next batch starts on Saturday, November 14, 2026.
Do I need coding skills for the AWS AI Practitioner exam?
No. AIF-C01 is a foundational exam about concepts and AWS services. You are never asked to write code. Knowing what Python, APIs and notebooks are helps, but it is not required.
Should I take the AWS Cloud Practitioner first?
It is not required. If you are new to AWS, the Cloud Practitioner makes the AI exam easier because it covers IAM, billing and core services the AI exam assumes. If you already use AWS at work, you can go straight to the AI Practitioner.
How hard is the AIF-C01 exam?
It is a foundational exam, but the generative AI and foundation model domains are detailed. Most failures come from mixing up similar services, such as Bedrock vs SageMaker, or RAG vs fine-tuning. Timed mock exams fix that quickly.
Is the AWS AI Practitioner worth it in 2026?
Yes, if your job touches AI projects. It is one of the cheapest ways (US$100) to show you understand generative AI on AWS, and it is a natural first step before the AWS Machine Learning Engineer Associate.
Is there a free AWS AI Practitioner practice test?
Yes. Take our free AWS AI Practitioner practice test: 65 questions on a 90-minute timer, every answer explained, and a score by domain.
Is the exam voucher included in the course fee?
No. The US$100 exam fee is paid to AWS when you book. Our advisors help you book and plan exam day.
Is CertOcean affiliated with AWS?
No. CertOcean is an independent training company. AWS and AWS Certified AI Practitioner are trademarks of Amazon.com, Inc. or its affiliates.
Will I get a certificate after the AWS Certified AI Practitioner (AIF-C01) training?
Yes. You receive a CertOcean certificate of completion when you finish the training. The official AWS certification is awarded by AWS when you pass the exam, and this course prepares you for it.
What if I don't pass the AWS Certified AI Practitioner (AIF-C01) exam?
Choose CertOcean's No Pass, No Pay exam assistance. If you don't pass on your first attempt, your exam assistance fee comes back under the refund terms. Training-only plans are not covered.
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