Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Prepare with confidence for the AWS Certified Generative AI Developer – Professional (AIP-C01) certification using a premium, exam-focused practice test course built to match real AWS exam standards.
This course is designed for developers, machine learning engineers, and cloud professionals who want to master AWS generative AI services and pass the AIP-C01 exam on the first attempt. You will gain hands-on exam readiness through advanced, scenario-based questions that reflect real-world implementation challenges across foundation models, retrieval-augmented generation (RAG), prompt engineering, vector databases, model deployment, optimization, and responsible AI.With 6 full-length mock exams and 195 carefully engineered questions, this course delivers complete coverage of the official AWS exam blueprint. Each question includes detailed explanations for both correct and incorrect options, enabling deeper conceptual clarity and eliminating guesswork.
The practice tests are structured to mirror actual exam difficulty, terminology, and domain distribution. By training under realistic conditions, you will develop the analytical thinking, architectural decision-making, and problem-solving skills required to succeed in a professional-level AWS certification..This Practice Test Course Includes3 full-length professional mock exams designed to simulate the real AWS AIP-C01 exam195 high-quality, scenario-based questions aligned with real exam patterns
In-depth explanations for every answer option to strengthen understanding
Complete coverage of all AWS Generative AI exam domains
Realistic exam simulation with timing, scoring, and pressure-based practice
Focus on production-grade use cases including RAG pipelines, vector search, prompt design, and model optimization
Coverage of security, governance, cost optimization, and responsible AI best practices.
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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