# pearson-agentic-ai-workshop

**Repository Path**: mirrors_ibm/pearson-agentic-ai-workshop

## Basic Information

- **Project Name**: pearson-agentic-ai-workshop
- **Description**: Understand and apply Agentic AI concepts through practical, hands-on exercises.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-28
- **Last Updated**: 2025-11-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Watsonx AI, Agentic AI & Governance Workshop Schedule

## Course Overview
This 4-day in-person workshop will enable participants to:  
- Understand and apply **Agentic AI** concepts through practical, hands-on exercises.  
- Learn how AI agents can autonomously plan, act, and collaborate to accomplish complex business workflows.  
- Gain top **AI Governance skills** and best practices from our team of experts.  
- Leverage **watsonx tools** for managing AI lifecycle, risk, and compliance.  
- Trust your AI applications with **guardrails**.

---

## Workshop Schedule

### Day 1 – Watsonx.ai (6 Hours)
| Time | Activity / Lab | Speaker
|------|----------------|---------|
| 20 Min | POV on watsonx.ai platform, IBM’s Foundation Models | Srikanth
| 30 Min | Watsonx.ai setup |  Srikanth
| 20 Min | Prompt Engineering & GA-ed watsonx.ai walk-thru |  Srikanth
| 20 Min | **Prompt Lab Hands On** 🔗 [Lab 1](watsonx.ai/lab-01-prompt-engineering%20new) |  Srikanth
| *20 Min* | *Break* |
| 15 Min | **watsonx-ai SDK** 🔗 [Lab 2](watsonx.ai/lab-03-watsonxai-rest-api) |  Shan
| 45 Min | **Advanced Prompt Engineering** 🔗 [Lab 3](watsonx.ai/lab-02-advanced-prompt-engineering) |  Srikanth
| *60 Min* | *Break* |
| 10 Min | RAG Overview & Architecture Pattern |  Shan
| 60 Min | **RAG Lab (WA, Milvus/VectorDB)** 🔗 [Lab 4](watsonx.ai/lab-04-agentic-rag-milvus) |  Shan
| 30 Min | **Watsonx Assistant Integration** 🔗 [Lab 5](watsonx.ai/lab-05-watson-assistant-integration) |  Shan
| 30 Min | Migration Activities | Srikanth

### Day 2 – Agentic AI & Orchestrate (6 Hours)
| Time | Activity / Lab | Speaker
|------|----------------|---------|
| 30 Min | Agentic AI Overview | Shan
| 45 Min | watsonx Orchestrate Overview | Murali
| 15 Min | watsonx Orchestrate Dashboard: A Quick Tour | Murali
| *20 Min* | *Break* |
| 60 Min | **Agentic RAG & Agent Lab** | Shan
| *60 Min* | *Break* |
| 90 Min | **Lab 1: Ask HR** 🔗 [Lab 1](agentic-ai/usecases/ask-hr)) | Utkarsh
| 20 Min | ADK Overview | Murali

### Day 3 – Watsonx Orchestrate & Watsonx Governance (6 Hours)
| Time | Activity / Lab | Speaker
|------|----------------|---------|
| 15 Min | Recap on Watsonx.Orchestrate | Murali
| 75 Min | **Lab 2: Business Automation - Competitive Insights** 🔗 [Lab 2](agentic-ai/usecases/business-automation) | Murali
| *20 Min* | *Break* |
| 60 Min | **Lab 3: Banking Financial Research Analyst** 🔗 [Lab 3](agentic-ai/usecases/banking-financial-research-analyst) | Murali
| 10 Min | Feedback Session | Murali
| *60 Min* | *Break* |
| 20 Min | Introduction to AI Governance | Shan
| 10 Min | Roadmap : AI Governance | 
| 30 Min | IBM Governance Framework : AWS & Multicloud Environments | Shan
| 30 Min | IBM Governance Overview:  MachineLearning Models | Shan
| 10 Min | Feedback session | 

### Day 4 – Watsonx Governance (6 Hours)
| Time | Activity / Lab | Speaker
|------|----------------|---------|
| 15 Min | IBM Governance Overview:  Foundation Models | Shan
| 10 Min | **Lab 1: Guardrails and monitoring** 🔗 [Lab 1](governance/labs/monitoring-and-guardrails) | Srikanth
| 10 Min | Part 1: Prompt Injection | Srikanth
| 20 Min | Part 2: Hallucinations (metrics theory and practice) | Srikanth
| 20 Min | Part 3: Drift (theory and practice) | Srikanth
| 20 Min | Part 4: Automatic Evaluation | Shan
| *20 Mi* | *Break* |
| 40 Min | **Lab 2: Risk and compliance** 🔗 [Lab 2](governance/labs/risk-and-compliance) | Shan
| 20 Min | **Lab 3: Agent Evaluation** | Shan(TBD)
| 30 Min | Migration Activities | Murali,Srikanth,Shan
| 10 Min | Feedback session |