This course contains the use of artificial intelligence.This course gives you thorough, exam-focused preparation for the AWS Certified AI Practitioner (AIF-C01) exam. No theory lectures. No filler. Every chapter maps directly to the official exam domains with hands-on labs using SageMaker, Bedrock, Comprehend, Rekognition, and RAG pipelines. You'll configure foundation models, tune inference parameters, implement guardrails, and build production-ready AI solutions.The course follows the exact AIF-C01 domain weightings: AI/ML fundamentals (20%), Generative AI fundamentals (24%), Applications of Foundation Models (28%), Responsible AI (14%), and Security, Compliance & Governance (14%). Each chapter ends with exam-style questions that mirror the real AIF-C01 format, and the final chapter is a complete 65-question exam simulation with time-management strategy.By course end, you'll confidently choose between RAG and fine-tuning, configure Bedrock inference parameters for any use case, implement responsible AI with Clarify and Guardrails, secure AI workloads with IAM and KMS, and architect cost-optimized GenAI solutions. Prerequisites: about 6 months of AWS experience with any service. Machine learning knowledge is not required - we build from zero. Taught by Aseem Mankotia (TechNuggets Academy). You also get two full-length practice tests with detailed answer explanations for every option, per-domain score breakdowns, downloadable cheat sheets, and flashcards covering the service limits, comparisons, and decision rules the exam emphasizes most.
What you'll learn
configure foundation models
tune inference parameters
implement responsible AI using tools like Clarify and Guardrails
secure AI workloads with IAM and KMS
build production-ready AI solutions
Course objectives
prepare for the AWS Certified AI Practitioner exam
complete hands-on labs using AWS services
understand and apply AI/ML fundamentals and responsible AI principles