AT YOUR OWN PACE

Learning paths

Complete a learning path in sequence, or select the topic you need.

Path 01

6 lessons 54 min

Understand AI development

Explore ideas with the tools that suit the task. Learn what to check before a prototype gets real data or permissions.

Support exploration and recognize when the responsibilities change.

Path 02

6 lessons 63 min

Turn an unclear request into a small, reviewable change. Work with context, tests, code review, and existing systems.

Leave with a repeatable development workflow.

Path 03

6 lessons 61 min

Data boundaries, agent permissions, software supply chains, and evidence that makes governance practical.

Match controls to the consequences of failure.

Path 04

10 lessons 112 min

Connect prototypes to a secure platform and your infrastructure requirements. Plan compliant delivery, availability, recovery, and ownership.

Define how teams can deliver and operate software with AI.

Path 05

8 lessons 90 min

Maintenance, observability, incident management, SOC and SIRT. Close the loop with bounded self-healing and verified improvement.

Connect service ownership to a complete feedback loop.

Path 06

6 lessons 60 min

Compare responsibilities, total costs, supplier evidence, and exit options. Make an investment decision you can explain.

Evaluate options against your actual constraints.

Path 07

8 lessons 89 min

Eight practical scenarios: start a product, bring existing code, shape work, review evidence, and handle the moments that need you.

Apply the curriculum to real Taiga workflows.