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Generative AI: Amazon SageMaker
This comprehensive Jam Journey course is designed to develop practical skills to use multimodal models and build multimodal AI pipelines using Amazon SageMaker AI. Learners will learn how build Amazon Bedrock Knowledge Bases, run python code, and write effective prompts in Amazon SageMaker AI notebook. The curriculum includes three hands-on Jam lab challenges. Through these immersive gamified learning on Jam Console, participants will learn to:
- Enable foundation models in Amazon Bedrock.
- Implement Amazon Bedrock Knowledge Bases for a Retrieval-Augmented Generation (RAG) solution.
- Use multimodal models in Amazon SageMaker AI.
- Create conversational AI for user interaction.
- Integrate AI pipelines for end-to-end solutions.
- Run python code and write prompts for foundation models in Amazon SageMaker AI notebook.
- Create a multi-agent workflow in Amazon SageMaker AI.
Intended audience:
Ideal for Data Scientists, Developers, and AI Practitioners.
Difficulty level:
Intermediate
The content of this Jam Journey aligns closely with the following AWS certification:
AWS Certified AI Practitioner certification.
AWS Jam is based upon three core principles:
PlayInteractive challenges build skills in a fun and engaging way. Learn
Gain practical skills for real-world scenarios with AWS services. Apply
Show proficiency and earn points by completing challenges.
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