AWS Certified AI Practitioner AIF-C01 Course 2026

Pass the AWS Certified AI Practitioner (AIF-C01) exam by learning to choose the right answer for every business scenario. The AI Practitioner exam rarely asks you to define a term. It describes a situation and asks you to choose. Should this assistant use Retrieval Augmented Generation, or a fine-tuned model? Is this a job for Amazon Bedrock, SageMaker AI, or a ready-made service like Amazon Comprehend? Does the team need Bedrock Guardrails, SageMaker Clarify, or Amazon Macie? Should the nightly job use batch inference, or Provisioned Throughput? This course builds that judgment, following the current exam guide, version 1.1, with its five domains and their weights. You'll follow one realistic company from start to finish: Juniper Trail Outfitters, an online outdoor-gear retailer that wants a support assistant, product recommendations, review insights, demand forecasting, and fraud detection, and wants to deliver them safely and responsibly. Every concept is tied to a decision this company has to make, so you learn not just what each service does, but when it's the right choice. What makes this course differentBuilt on exam guide version 1.1. The current guide added agentic AI, the Model Context Protocol, Amazon Bedrock AgentCore, Strands Agents, Kiro, Amazon Quick, context engineering, token-based pricing, Prompt Management, LLM-as-a-judge evaluation, and hallucination detection. All of it is covered, along with everything carried over from the earlier version. Current names, and the old ones too. You'll learn the current product names, and where a product was renamed or replaced, such as Amazon Q Business, Amazon QuickSight, and Amazon Q Developer, you'll learn how the old name maps to the new one, so older questions and study material don't confuse you. Worked examples with real numbers.