AWS Certified AI Practitioner
The AWS Certified AI Practitioner course covers AI, machine learning, and generative AI fundamentals for AWS use cases, aligned with the AIF-C01 exam. Participants review core AI concepts foundation models prompt engineering responsible AI security compliance governance Training may include instructor-led lessons, demos, quizzes, and practical examples using AWS AI services such as Amazon Bedrock and Amazon SageMaker.
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Description
The AWS Certified AI Practitioner course covers AI, machine learning, and generative AI fundamentals for AWS use cases, aligned with the AIF-C01 exam.
Participants review
core AI concepts
foundation models
prompt engineering
responsible AI
security
compliance
governance
Training may include instructor-led lessons, demos, quizzes, and practical examples using AWS AI services such as Amazon Bedrock and Amazon SageMaker.
After completion, participants should be able to identify suitable AI/ML approaches for business needs and prepare for the AWS Certified AI Practitioner exam.
What You Will Learn
Course content follows the AWS Certified AI Practitioner (AIF-C01) exam areas: AI and ML fundamentals, generative AI, foundation model applications, responsible AI, and AI security, compliance, and governance.
Module 1: AI and machine learning fundamentals
Core AI, ML, and deep learning concepts
Common ML task types, including classification, regression, clustering, and forecasting
Business use cases for AI on AWS
Module 2: Generative AI and foundation models
Generative AI concepts, foundation models, prompts, embeddings, and tokens
Model selection criteria, including accuracy, latency, cost, and task fit
Introduction to Amazon Bedrock and Amazon SageMaker AI
Module 3: Applying AI services on AWS
Use cases for text, image, document, and conversational AI
Scenario-based selection of AWS AI and ML services
Basic solution patterns using Amazon Bedrock, Amazon Q, and related AWS services
Module 4: Responsible AI
Fairness, explainability, privacy, safety, and human review
Risks such as bias, hallucinations, and misuse
Methods for evaluating AI outputs and user impact
Module 5: Security, compliance, and exam readiness
AWS shared responsibility model for AI workloads
Data protection, access control, monitoring, and governance basics
Practice questions, exam domain review, and study planning
Certification & Exam
The AWS Certified AI Practitioner course prepares participants for the AWS Certified AI Practitioner exam, currently AIF-C01.
The certification validates foundational knowledge of artificial intelligence, machine learning, generative AI concepts, responsible AI practices, and AWS AI services such as Amazon Bedrock and Amazon SageMaker AI.
Candidates can schedule the exam through AWS Certification, with testing available through Pearson VUE at a test center or as an online proctored exam.
The exam lasts 90 minutes and includes 65 questions, with multiple-choice, multiple-response, ordering, and matching formats.
AWS reports results as pass or fail, with a scaled score from 100 to 1,000 and a passing score of 700. After passing, candidates receive the AWS Certified AI Practitioner credential, which is valid for three years.
➡️ Official source: AWS Certified AI Practitioner.
What You Will Achieve
Apply core artificial intelligence, machine learning, and generative AI concepts to identify and define appropriate business use cases for AWS AI services.
Analyze key AWS machine learning and AI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q, to match them to practical business scenarios.
Evaluate foundation model selection options, prompt engineering approaches, and performance factors used in generative AI applications.
Apply responsible AI principles, including fairness, transparency, privacy, security, and governance, when planning and deploying AWS AI solutions.
Create an effective study plan for the AWS Certified AI Practitioner exam by mapping course topics to exam domains, question formats, and personal knowledge gaps.
Evaluate real-world AI use cases to analyze and explain the benefits, risks, operational considerations, and cost factors of AWS AI implementations.
Training Providers
No providers available for this course yet.
FAQs
General Information
AWS Certified AI Practitioner fits people who understand AI and machine learning on AWS, even when they do not build AI or ML systems in their daily work. AWS names roles such as business analyst, IT support specialist, marketing professional, product manager, project manager, IT manager, and sales professional.
Prerequisites & Requirements
Certification & Exam
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