Certificate of Achievement
has completed the following course:
Master the Generative AI lifecycle with AWS. Learn to plan, develop, and deploy AI solutions while balancing risks and benefits. Explore foundation models, RAG, and fine-tuning through expert-led modules.
1 weeks, 1 hour per week
Michelle Vaz
Managing Director, Training & Certification
Amazon Web Services (AWS)
Transcript
Learning outcomes
- Describe what generative AI is and how it fits in with machine learning (ML).
- Identify the generative AI services available at Amazon.
- Describe some of the risks and benefits of generative AI.
- Explore the steps to planning a generative AI project.
- Define Retrieval Augmented Generation (RAG) and describe its business application.
- Understand approaches to evaluate foundation model performance.
- Explain the cost trade-offs of various approaches to foundation model customization.
Syllabus
- Introduction to Generative AI: Use Cases and Art of the Possible
- Planning Your Project: Terminology, Risks, and Technical Foundations
- The Application Lifecycle: Selection, Evaluation, and Deployment
- Advanced Customisation: Primer on Prompt Engineering, RAG, and Fine-Tuning
Issued on 23rd September 2026
The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.
This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.