COURSE PREVIEWAbout this course
Prepare for the AWS Certified AI Practitioner (AIF-C01) exam with six comprehensive practice tests containing 600 scenario-based questions.
This course is designed for cloud practitioners, business professionals, managers, analysts, technical professionals, and certification candidates who want to build confidence with AWS AI and generative AI concepts before taking the exam.
The practice exams cover the five major knowledge areas of AIF-C01, including fundamentals of artificial intelligence and machine learning, generative AI concepts, applications of foundation models, responsible AI, and security, compliance, and governance for AI solutions.
You will review supervised learning, unsupervised learning, reinforcement learning, classification, regression, model evaluation, overfitting, the machine learning lifecycle, foundation models, large language models, embeddings, prompt engineering, hallucinations, retrieval-augmented generation, and fine-tuning.
The course also includes AWS services commonly associated with AI workloads, including Amazon Bedrock, Amazon SageMaker AI, Amazon Bedrock Knowledge Bases, Bedrock Agents, Bedrock Guardrails, Amazon Q Business, and Amazon Q Developer.
Additional questions focus on responsible AI concepts such as fairness, transparency, explainability, privacy, human oversight, model limitations, and ongoing monitoring.
Security and governance scenarios cover AWS IAM, least privilege, encryption with AWS KMS, data protection in transit, AWS CloudTrail, Amazon Macie, the AWS shared responsibility model, auditing, and AI governance practices.
Every question includes explanations for the correct answer and each incorrect option. These explanations help you understand why a concept or AWS service is appropriate and distinguish between similar choices.
By completing all six practice exams, you can identify knowledge gaps, reinforce the AIF-C01 exam domains, improve practical AI decision-making skills, and build confidence through 600 professional practice questions.
This course is an independent exam-preparation resource and is not affiliated with, sponsored by, or endorsed by Amazon Web Services.
What you'll learn
- Assess readiness for the AWS Certified AI Practitioner AIF-C01 exam through realistic business and AI scenarios.
- Explain AI, machine learning, deep learning, generative AI, foundation models, embeddings, and the AI/ML development lifecycle.
- Identify AWS AI and GenAI services, including Amazon Bedrock, SageMaker AI, Amazon Q, and related AI capabilities.
- Apply responsible AI, security, compliance, governance, prompt engineering, and foundation model selection concepts.
Before you begin
- No programming experience is required. Basic knowledge of AWS Cloud, AI, machine learning, and generative AI concepts is helpful.
Who this is for
- AIF-C01 candidates, business professionals, cloud practitioners, managers, analysts, and anyone learning AI and GenAI concepts on AWS.
- AWS currently classifies AWS Certified AI Practitioner (AIF-C01) as a foundational certification focused on practical business applications of AI, ML, and generative AI. The current guide includes five domains: AI/ML fundamentals, GenAI fundamentals, foundation model applications, responsible AI, and AI security/compliance/governance.
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