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IT: Artificial Intelligence & Data
Foundations and AWS GenAI Tools
Curriculum
1 Section
21 Lessons
30 hours
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Unit 2 — Foundations and AWS GenAI Tools
21
1.1
Terminology in Generative AI
20 mins
1.2
Prompt Engineering
20 mins
1.3
Generative AI Business Value
20 mins
1.4
Building Value Within Your Enterprises
20 mins
1.5
Summary
20 mins
1.6
References
20 mins
1.7
Definition and Overview of Foundation Models
20 mins
1.8
Types of Foundation Models
20 mins
1.9
The Large Language Model (LLM)
20 mins
1.10
Applications of Foundation Models
20 mins
1.11
Challenges and Considerations
20 mins
1.12
Key Takeaways
20 mins
1.13
References
20 mins
1.14
Data Preparation and Processing
20 mins
1.15
Model Development
20 mins
1.16
MLOps with Amazon SageMaker
20 mins
1.17
Boost Your Generative AI Development with SageMaker JumpStart
20 mins
1.18
No-Code ML with Amazon SageMaker Canvas
20 mins
1.19
Amazon Bedrock
20 mins
1.20
Choosing the Right Strategy for the Development of Your Generative AI Application with Amazon SageMaker
20 mins
1.21
Conclusion
20 mins
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