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.

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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	Srikanth
20 Min	Break
15 Min	watsonx-ai SDK 🔗 Lab 2	Shan
45 Min	Advanced Prompt Engineering 🔗 Lab 3	Srikanth
60 Min	Break
10 Min	RAG Overview & Architecture Pattern	Shan
60 Min	RAG Lab (WA, Milvus/VectorDB) 🔗 Lab 4	Shan
30 Min	Watsonx Assistant Integration 🔗 Lab 5	Shan
30 Min	Migration Activities	Srikanth

Day 2 – Agentic AI & Orchestrate (6 Hours)

Time	Activity / Lab	Speaker
30 Min	Agentic AI Overview	Shan
60 Min	Watsonx.Orchestrate & ADK Overview	Murali
20 Min	Break
60 Min	Agentic RAG & Agent Lab	Shan
60 Min	Break
90 Min	Lab 1: Ask HR 🔗 Lab 1)	Utkarsh
40 Min	Migration Activities	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	Murali
20 Min	Break
60 Min	Lab 3: Banking Financial Research Analyst 🔗 Lab 3	Murali
10 Min	Feedback Session	Murali
60 Min	Break
20 Min	Introduction to AI Governance	Shan
30 Min	Governance Architecture - MultiCloud Solution/LLM	Shan
20 Min	Part 1: Prompt Injection	Shan
20 Min	Part 2: Hallucinations (metrics theory and practice)	Shan
20 Min	Part 3: Drift (theory and practice)	Shan
10 Min	Feedback session

Day 4 – Watsonx Governance (6 Hours)

Time	Activity / Lab	Speaker
20 Min	Continuation AI Governance	Shan
30 Min	Part 4: Automatic Evaluation	Shan
40 Min	Lab 1: Guardrails and monitoring 🔗 Lab 1	Srikanth
20 Mi	Break
50 Min	Continuation on Lab 1: Guardrails and monitoring 🔗 Lab 2	Srikanth
60 Min	Break
90 Min	Lab 2: Risk and compliance 🔗 Lab 2	Shan
30 Min	Migration Activities	Shan
10 Min	Feedback session