Overview
Explore AWS SimuLearn's generative AI experience, combining AI-powered simulations with hands-on practice to deploy LLM models using SageMaker JumpStart and improve prompt engineering techniques.
Syllabus
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- Introduction to Generative AI
-- Overview of Generative AI
-- Applications in Business Scenarios
-- Key Concepts and Terminology
- AWS SimuLearn Platform Orientation
-- Navigating the SimuLearn Interface
-- Accessing Generative AI Simulations
-- Setting Up Your Learning Environment
- Understanding Business Problems
-- Identifying Business Challenges
-- Translating Business Needs into Technical Requirements
-- Role of AI in Solving Business Problems
- Generative AI-Powered Simulations
-- Simulation of Customer-Technology Professional Dialogs
-- Analyzing Conversations for Insights
-- Hands-on Practice with Real-world Scenarios
- Technical Solutions with AWS Services
-- Introduction to Relevant AWS Services for AI
-- Deploying AI Models on AWS
-- Connecting AI Solutions to Business Applications
- Case Studies and Applications
-- Review of Successful AI Implementations
-- Lessons Learned from Industry Examples
-- Best Practices for Implementation
- Assessment and Feedback
-- Reflection on Simulation Exercises
-- Peer and Instructor Feedback Sessions
-- Final Project: Designing an AI Solution for a Business Problem
- Conclusion and Next Steps
-- Summarizing Key Learnings
-- Continuing Your AI Journey with AWS
-- Resources for Further Study and Certification Paths
Taught by
Tags
On-Demand
