AI Skills
Build AI skills through real work.
Learn to use AI for practical tasks: turn source material into useful outputs, improve your prompts, and check results against published criteria. AI feedback supports practice; completing a track does not automatically issue a skill credential.
Prompt Engineering for Practical Work
EKO's flagship track. Four challenges built around real work: extracting structure from mess, summarizing for executives, triaging tickets, and adapting when requirements change. You prove the skill by producing working prompt systems - graded against tests you never see.
| What you build | Working prompt systems that produce valid, structured output |
| Challenges | 4 |
| Expected time | About 60–90 minutes |
| Assessment | Practice format checks and optional AI feedback |
| Outcomes | Reliable AI output for real work: extraction, summaries, triage |
Practical AI for Work
For non-technical professionals: turn messy inputs into clean, usable work products — SOPs, emails, structured data — with AI as your tool. You prove it by producing the artifacts themselves.
| What you build | SOPs, executive emails, and structured data from messy inputs |
| Challenges | 3 |
| Expected time | About 45–60 minutes |
| Assessment | Practice checks on produced artifacts |
| Outcomes | Day-one AI skills for non-technical roles |
AI-Augmented Development (lite)
For experienced developers: prove you can ship working code in the AI era. The artifact is code — it either runs correctly against hidden tests or it doesn't. AI assistance expected; results graded.
Code assessment is temporarily unavailable for this track.
| What you build | Small Python functions that pass hidden unit tests |
| Challenges | 3 |
| Expected time | About 90 minutes |
| Assessment | Code execution against held-out tests |
| Outcomes | Proof you ship working code with AI assistance |