The Academy in figures

  • 1,500+learners trained
  • 7certified programmes
  • 5Data Talent Pipeline sessions
  • 100 %possible subsidy

Demand for data and AI skills far outstrips supply. Training in-house is becoming as strategic as hiring.

The ADE Academy trains professionals, recent graduates and entire teams in data and artificial intelligence careers. Our trainers are practitioners first: they teach what they do every day on assignments.

Each programme alternates short theory, exercises on real data and a final project. Teaching is designed to be applied the very next day.

Our certified programmes

Filter by field and level.

Field
Level

0 programmes

Certification Beginner

Data Analyst

Advanced Excel, SQL, Power BI: from spreadsheet to dashboard.

8 weeksOn-site or hybrid

Certification Intermediate

Data Engineer

Pipelines, databases, ETL and cloud.

10 weeksHybrid

Certification Advanced

Data Scientist

Python, statistics, applied machine learning.

12 weeksHybrid

Certification Beginner

Prompt Engineering

Get the most out of AI assistants every day.

3 daysOn-site, online or in-house

Certification Intermediate

AI Agents

Design and deploy agents that automate your processes.

5 daysOn-site or online

Data Talent Pipeline

Intensive training subsidised from 70% to 100%, an official certificate and a guaranteed internship with a partner company of the Africa Data Fair.

  1. S1

    Fundamentals

    Introduction to data careers, data literacy & ethics, advanced Excel, introduction to cloud, basic SQL.

    Skills: Handle simple data, understand the data ecosystem and cloud basics.

  2. S2

    Engineering

    Collection (APIs, scraping), advanced SQL, cleaning with Python (Pandas), ETL/ELT, cloud storage.

    Skills: Collect, clean and prepare data for cloud data warehouses.

  3. S3

    Data Analyst

    Inferential statistics, data mining, visualisation (Power BI / Tableau), data storytelling.

    Skills: Statistical analysis, interactive dashboards and visual communication.

  4. S4

    Data Scientist & DataOps

    Python scikit-learn, supervised and unsupervised ML, cloud architecture, Spark processing.

    Skills: Predictive modelling, scalable architectures and coding best practices.

  5. S5

    MLOps & DataOps

    Data strategist & MLOps: data governance, cloud API deployment (Docker), a complete capstone project.

    Skills: Industrialise models and lead data governance.

  • Official certificate for each track
  • Hands-on internship with a GSDA partner company
  • Priority placement and career coaching for ADE-certified profiles

Frequently asked questions

Training a whole team?

We build custom programmes on your own data.

Request an in-house programme

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