Description
Designing and Building AI Products and Services
Master the end-to-end AI project lifecycle from data preparation through deployment. Aligned with all five AWS AI Practitioner exam domains. Includes capstone project.
- 30 hours
- Virtual Instructor-led and In-person options
- Goal(s): Design, build, and evaluate AI solutions. Content prepares students for the AWS Certified AI Practitioner exam.
- Audience: Aspiring AI developers, tech leaders, and professionals transitioning into AI roles.
- Prerequisites: Python PCEP certification or equivalent technical background.
Master the complete AI project lifecycle from data collection and preparation to model deployment and monitoring. Course content is aligned with all five AWS Certified AI Practitioner exam domains, covering AI/ML fundamentals, generative AI concepts, foundation model applications, responsible AI principles, and security/governance frameworks. Develop expertise in feature engineering, prompt engineering, and model evaluation using accuracy, precision, recall, and F1 score. Includes a capstone project where you design, implement, and evaluate an AI model for a specific business problem.





