Dataaxy Academy
AI Engineering Portfolio Lab
A practical course for data professionals who want to build a bounded AI role-fit assistant and turn it into a credible portfolio project.
Author
By Fabrice Payet, Co-founder of Dataaxy
Fabrice builds Dataaxy with the goal of helping data and AI talent turn real skills into clearer career opportunities.
Course promise
Build one practical AI product, then make it recruiter-readable
This course uses a role-fit assistant as the spine. You will define the product boundary, structure role evidence, ground feedback, evaluate quality, and package the result as portfolio evidence.
Who it is for
- Data analysts moving toward AI product work
- Data engineers who want hands-on LLM projects
- Machine learning practitioners packaging applied AI work
- Software engineers targeting AI engineer roles
What you will ship
- Define a useful assistant around a bounded role-fit workflow
- Extract structured data from messy job descriptions
- Use embeddings and retrieval to ground recommendations
- Evaluate assistant quality with small practical test sets
- Ship a portfolio-ready AI engineering project without rebuilding a job board
Syllabus
Six modules, one portfolio project
The first lessons are public. Later modules are visible as previews so candidates can understand the full Academy path before signing up.
Module 1 - 55 min
Build your first AI role-fit assistant
Turn a vague AI idea into a focused assistant that helps a candidate understand one role, one fit gap, and one next action.
Public lesson
Module 2 - 65 min
Turn job postings into structured data
Extract fields such as role, seniority, skills, tools, and responsibilities so the assistant can reason over reliable inputs.
Public lesson
Module 3 - 50 min
Compare candidate evidence with embeddings
Use embeddings to compare candidate evidence against one role-fit data card beyond exact keyword matching.
Talent preview
Module 4 - 55 min
Ground role-fit feedback with retrieval
Ground assistant answers in retrieved evidence from a candidate portfolio and one selected job description.
Talent preview
Module 5 - 45 min
Evaluate the role-fit assistant
Create a tiny eval set that catches vague advice, hallucinated requirements, and weak job-fit reasoning.
Talent preview
Module 6 - 60 min
Ship your AI role-fit portfolio project
Package the role-fit assistant as a recruiter-readable project with a demo, README, architecture note, and trade-off section.
Talent preview
Dataaxy Academy
Turn the course into a Dataaxy talent signal
Use the Academy project to sharpen your profile, describe your AI engineering work, and connect your learning path to real data and AI jobs.