This capstone unit consolidates AWS Certified AI Practitioner exam essentials while applying practical techniques for inference optimization and model evaluation using Amazon Bedrock. Students will also examine the societal, ethical, and operational upsides and downsides of generative AI and complete targeted review activities to demonstrate readiness for certification.
Learning Objectives
- Analyze key AWS Certified AI Practitioner exam domains and identify areas for focused review using end-of-unit assessment performance
- Apply inference optimization techniques for large language models to configure workflows that improve measurable latency and throughput
- Evaluate Amazon Bedrock evaluation outputs and metrics to determine model suitability, reliability, and areas for improvement
- Demonstrate preparedness for the certification exam by completing and reflecting on unit review questions and practice assessments
Curriculum
- 1 Section
- 13 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 4 — AI Practitioner Exam Capstone13
- 1.1Exam Essentials20 mins
- 1.2Exam Essentials20 mins
- 1.3Inference Optimizations for Large Language Models20 mins
- 1.4Amazon Bedrock Evaluations20 mins
- 1.5Summary20 mins
- 1.6The Upsides and Downsides of Gen AI20 mins
- 1.7Review Questions20 mins
- 1.8Review Questions20 mins
- 1.9Summary20 mins
- 1.10Exam Essentials20 mins
- 1.11Exam Essentials20 mins
- 1.12Review Questions20 mins
- 1.13Review Questions20 mins
Instructor
Free
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