AI / Machine Learning
Taught by engineers from Zindi Africa & Notion
2 experts teaching
The people teaching this course
Meet your teaching team
Each module is designed and delivered by a different specialist — someone who does this exact topic every day at a top tech company.
Taiwo Bello
ML Engineer
Teaching
Python for AI & Machine Learning Foundations
Aisha Garba
AI Product Engineer
Teaching
LLMs, Prompt Engineering & AI APIs
What you'll learn
- Build and deploy ML models
- Ship AI-powered product features
- Evaluate and improve AI workflows
Technologies & tools
Companies represented
Build real things
Projects you'll ship
Credit risk prediction model
Portfolio-grade · Mentor reviewed
RAG document assistant
Portfolio-grade · Mentor reviewed
Curriculum
Week by week breakdown
2 modules · each taught by a different industry expert · pay per module or enroll in all.
Pay per module or save with the full course
Each module is priced individually — pick the expert and topic you need, or enroll in everything at a discount.
per module from
₦100,000
full course
₦200,000
₦100,000
AI without data engineering is theory. Taiwo is a Kaggle Master and ML Engineer at Zindi, Africa's largest AI community. This module gives you the Python and ML foundations needed to build models that actually work in production.
Lessons
- 01Python environment setup — conda, venv & dependency management
- 02NumPy — vectorised operations, broadcasting & performance
- 03Pandas — data ingestion, cleaning, transformation & aggregation
- 04Exploratory data analysis (EDA) — finding patterns before modelling
- 05Data visualisation — Matplotlib, Seaborn & Plotly
- 06Feature engineering & selection — creating predictive signals
- 07Scikit-learn pipelines — preprocessing, transformers & estimators
- 08Classification & regression — training, tuning & validation
- 09Model evaluation — cross-validation, AUC-ROC, RMSE & confusion matrix
- 10Deploying ML models as REST APIs with FastAPI
After this module you can
- Build end-to-end ML pipelines
- Conduct rigorous exploratory data analysis
- Deploy trained models as production APIs
Taiwo Bello
ML Engineer · Zindi Africa
Module project
Build and deploy an ML model that predicts mobile money fraud — full pipeline from raw data to a live FastAPI endpoint with documented accuracy metrics
₦100,000
Production-grade learning
Learn with the tools used in the industry
Our AI / Machine Learningtrack is built around the exact tools, workflows, and delivery systems that top tech companies use. You won't just study concepts — you'll ship code, review PRs, and present to real audiences.
- Weekly live sessions with actual industry engineers
- GitHub-based project delivery (like real engineering teams)
- Code reviews from engineers who do this for a living
- Mock technical interviews with detailed feedback
- Verified certificate issued on completion
Engineers from these companies teach this course
Ready to master AI / Machine Learning?
Join the next cohort and start building your career in tech with real engineers, real projects, and a community of ambitious learners.