Track 01 — Boost productivity with AI agents¶

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Track Overview¶

Fields	Details
Products	watsonx Orchestrate watsonx.governance IBM Bob
Target Persona	select-t partners, BTS and select-t clients
Theory sessions	2
Labs	4
Estimated Duration	~6–7 hrs (excluding breaks)

Learning Journey¶

flowchart LR
    theory["<strong>Theory</strong><br/>What & Why"] --> lab101["<strong>Lab 101</strong><br/>Basics"]
    lab101 --> lab201["<strong>Lab 201</strong><br/>Fundamentals"]
    lab201 --> lab301["<strong>Lab 301</strong><br/>Intermediate"]
    lab301 --> lab401["<strong>Lab 401</strong><br/>Advanced"]

Before You Begin¶

Complete the Program Overview if you haven't already.
Create an IBMid by referring to the instructions here.
Ensure your lab environment is set up per the Track 01 Lab Environment Setup Guide.

Theory Sessions¶

Market Landscape of Agentic AI Introduction to the market landscape and IBM’s vision and offerings in that market.
Product Overview Introduction to the select-t focused products

Hands-on Labs¶

Lab 101 — Basics Getting started with core concepts
Lab 201 — Fundamentals Building foundational skills
Lab 301 — Intermediate Advancing your expertise
Lab 401 — Advanced Mastering complex implementations

Support¶

Troubleshooting Common issues and solutions