The AWS Certified AI Practitioner: 1500 Certified Questions course is designed to give you a clear, scenario-driven path through generative AI, Amazon Bedrock, Amazon SageMaker, prompt engineering, ML pipelines and responsible AI governance. Each question is structured around realistic design and decision scenarios, so you can connect cloud AI concepts directly to how solutions are built and operated on AWS.

This course contains 1,500 certified-style questions divided into six sections of 250 questions each, aligned with the key competencies expected from an AI practitioner working on AWS platforms.

You start with Foundations of Generative AI, LLM Concepts & Vector-Powered Applications — 250 Questions, where you establish core generative AI and LLM fundamentals, from tokenization and embeddings to vector-powered applications and high-level architecture patterns.

The second section, Amazon Bedrock Services, Model Catalog & Secure Foundation Model Integration — 250 Questions, focuses on Amazon Bedrock as the managed entry point for foundation models, helping you understand model choice, data handling, latency and cost trade-offs for enterprise scenarios.

In the third section, Amazon SageMaker for Classical ML, Fine-Tuning & Inference Workloads — 250 Questions, you connect traditional ML and custom model workflows to SageMaker, exploring when to train, host or orchestrate models rather than rely only on managed foundation models.

The fourth section, Prompt Engineering, Retrieval-Augmented Generation & Evaluation Strategies — 250 Questions, develops your ability to design robust prompts, RAG patterns and evaluation strategies, so LLM-based systems behave in controlled, task-focused ways using enterprise data.

The fifth section, ML & AI Pipelines, Orchestration, MLOps & Observability on AWS — 250 Questions, examines how pipelines, orchestration services and observability keep AI solutions repeatable, auditable and maintainable across environments.

Finally, the sixth section, Responsible AI, Security, Governance & Compliance in AWS AI Solutions — 250 Questions, brings everything together into governed, secure and accountable AI systems, linking IAM, privacy, guardrails and organizational risk management.

Each practice test can be retaken as many times as you need, helping you track and enhance your progress, stabilize weaker areas and build structured confidence. Whether you are aiming to work as an AWS-focused AI practitioner or to bring AI safely into existing workloads, this course gives you a clear, section-based route to practical cloud AI skills.