FRAMEWORK
ACADEMY
Courses
Log In
Join Free
Home
Courses
IT: Artificial Intelligence & Data
RAG and Generative AI on AWS
Curriculum
1 Section
20 Lessons
30 hours
Expand all sections
Collapse all sections
Unit 4 — RAG and Generative AI on AWS
20
1.1
Building a RAG Solution
20 mins
1.2
RAG on AWS
20 mins
1.3
Custom Data Pipeline to Build RAG
20 mins
1.4
Case Studies and Applications
20 mins
1.5
Challenges and Future Directions
20 mins
1.6
Example Notebooks
20 mins
1.7
References
20 mins
1.8
Lab 1: Introduction to Generative AI with Bedrock
20 mins
1.9
Lab 2: Dive Deep into Gen AI with Amazon Bedrock
20 mins
1.10
Lab 3: Building an Agentic LLM Assistant on AWS
20 mins
1.11
Lab 4: Retrieval-Augmented Generation Workshop
20 mins
1.12
Lab 5: Amazon Q for Business
20 mins
1.13
Lab 6: Building a Natural Language Query Engine for Data Lakes
20 mins
1.14
Summary
20 mins
1.15
Reference
20 mins
1.16
The Future of Generative AI: Key Dimensions and Staying Informed
20 mins
1.17
Technical Evolution and Capabilities
20 mins
1.18
Application Domains
20 mins
1.19
Ethical and Societal Implications
20 mins
1.20
Staying Current in the Rapidly Evolving AI Landscape
20 mins
This content is protected, please
login
and
enroll
in the course to view this content!
S
Ask SIERA
YOUR DIGITAL ASSISTANT
×
Modal title
Main Content