Bundles — Self Learning Material

9 modules · 4 blocks

Bundles — Self Learning Material

Nine self-paced modules in four blocks — Start AI (AI essentials for decision makers), Build AI (from use case to decision evidence), Scale AI (preparing workloads for compute access) and Advanced (optional stand-alone deep dives). Work through Start AI, Build AI and Scale AI — complete each module’s checks and tasks, then take the block’s quiz to earn your certificates. The Advanced modules are purely supplementary: self-contained, in no particular order, take any that interest you.

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Start AI — AI essentials for decision makers

1⬜ Not started

Why Data Determines AI Success

Why data — not the model — determines AI success.

⏱️ ~30 min4 activities
2⬜ Not started

Strategy Before Technology

Aligning AI initiatives with strategy before technology.

⏱️ ~30 min4 activities

🎓 Start AI Quiz

🔓 The Start AI Quiz is open — take it after Modules 1–2.

Start the Start AI Quiz →

Build AI — From use case to decision evidence

3⬜ Not started

From Use Case to Decision Evidence

Frame a decision-ready use case, run a controlled test and record decision evidence.

⏱️ 50–60 min8 activities

🎓 Build AI Quiz

🔓 The Build AI Quiz is open — take it after the Build AI module.

Start the Build AI Quiz →

Scale AI — Prepare your workload for compute access

4⬜ Not started

Prepare Your Workload for Compute Access

Workload profile, data movement, hosting direction and a compute-readiness brief.

⏱️ 50–60 min6 activities

🎓 Scale AI Quiz

🔓 The Scale AI Quiz is open — take it after the Scale AI module.

Start the Scale AI Quiz →

Advanced — optional stand-alone deep-dive modules

5⬜ Not started

Using Foundation Models

Foundation models: prompting, APIs, RAG and context engineering.

⏱️ ~30 min6 activities
6⬜ Not started

Ways to Build AI Solutions

Tools, talent and delivery paths for building AI.

⏱️ ~30 min6 activities
7⬜ Not started

Infrastructure, Hosting & HPC

Infrastructure, hosting and HPC for AI workloads.

⏱️ ~30 min5 activities
8⬜ Not started

The Data Lifecycle

The end-to-end data lifecycle, from collection to retirement.

⏱️ ~30 min6 activities
9⬜ Not started

ML-Specific Data Considerations

Data considerations specific to machine learning.

⏱️ ~30 min5 activities

🎓 Advanced 5 Quiz

🔓 The Advanced 5 Quiz is open — take it after the module.

Start the Advanced 5 Quiz →

🎓 Advanced 6 Quiz

🔓 The Advanced 6 Quiz is open — take it after the module.

Start the Advanced 6 Quiz →

🎓 Advanced 7 Quiz

🔓 The Advanced 7 Quiz is open — take it after the module.

Start the Advanced 7 Quiz →

🎓 Advanced 8 Quiz

🔓 The Advanced 8 Quiz is open — take it after the module.

Start the Advanced 8 Quiz →

🎓 Advanced 9 Quiz

🔓 The Advanced 9 Quiz is open — take it after the module.

Start the Advanced 9 Quiz →