Course 5 of 5 in this specialization
Architect and Secure GenAI Applications with Amazon Bedrock
Coming soon 17 topics Self-paced · Online
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Where this comes from
Built from the Wiley title of the same name — professionally edited, technically reviewed, and already relied on by people doing this work.
Source ISBN 9781394382637
How it was built
Sejal Learning Systems rebuilt the book as a course: objectives first, then short video, worked examples, and practice with real feedback. It runs on Coursera at your own pace, with a certificate on completion.
Architect and Secure GenAI Applications with Amazon Bedrock is a self-paced online course built from the Wiley title of the same name.
What this course covers
- About the Technical Editor
- Acknowledgments
- Part 1: Introduction to Your New Generative AI Playground
- CHAPTER 1: Introduction to Generative AI on AWS
- CHAPTER 2: Prompt Engineering with Foundational Models on AWS
- Part 2: Core Generative AI on AWS
- CHAPTER 3: Building Applications with the Amazon Bedrock API
- CHAPTER 4: Working with Multimodal Foundational Models
- CHAPTER 5: Fine-Tuning Foundational Models on AWS
- CHAPTER 6: Performing Retrieval-Augmented Generation on AWS
- CHAPTER 7: Optimizing Performance for Foundational Models
- Part 3: Advancing the Building Blocks of Generative AI
- CHAPTER 8: Security and Privacy for Deploying Generative AI Architectures on AWS
- CHAPTER 9: Building End-to-End Applications with Generative AI
- CHAPTER 10: Sustainability and Scalability with Amazon Bedrock
- APPENDIX A: Configuring Your AWS Account
- APPENDIX B: Installing Python, Jupyter Notebook, and LangChain