Library / Artificial Intelligence
AWS Generative AI Developer AIP-C01 Practice Tests 2026
On Udemy
About this course
Welcome to the most comprehensive and up-to-date practice examination package for the AWS Certified Generative AI Developer - Professional (AIP-C01) certification. Preparing for a professional-level AWS certification requires far more than memorizing definitions; it demands deep architectural reasoning, familiarity with real-world developer workflows, and the ability to make sound trade-offs under exam pressure.
This course provides 600 high-quality, original scenario questions structured into balanced 100-question practice sets aligned with the official AWS exam blueprint. Every question features an in-depth scenario explanation and exhaustive option-level explanations that clearly clarify why the correct answer is optimal and why each incorrect distractor fails.
Complete Domain Coverage
Our question bank reflects the official exam domain weighting, providing complete technical depth across all five syllabus areas:
FM Integration & Data
Master the selection, adaptation, and integration of foundation models. Practice configuring multimodal inputs, selecting between Amazon Titan, Anthropic Claude, and Meta Llama models, and designing Retrieval-Augmented Generation (RAG) data pipelines. Learn how to configure chunking strategies, vector embeddings, and Amazon OpenSearch Serverless collections with precision.
Implementation & Integration
Test your hands-on developer skills with the Amazon Bedrock Converse API, tool calling schemas, and real-time streaming with Server-Sent Events. Master Amazon Bedrock Agents, OpenAPI 3.0 Action Groups, Lambda handler protocols, Return of Control, and multi-agent supervisor collaboration.
Safety, Security & Governance
Validate your knowledge of enterprise generative AI protection. Practice configuring Amazon Bedrock Guardrails, including content filters, custom regex PII masking, and contextual grounding thresholds.
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Udemy: 2026-10-22 · Coursera: 2026-10-22 · O'Reilly: 2026-10-22 · 365 Data Science: 2026-10-22
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