Issued by Foundryy · AI & Machine Learning
AI & Machine Learning Practitioner
Learn to build, evaluate and ship machine-learning models, from data preparation to a deployed service.
- Duration
- 6 months
- Study time
- 132 hours
- Modules
- 6
- Cost
- At enrollment
- Python
- Machine Learning
- Statistics
- Scikit-learn
- Model Deployment
Curriculum
- 120 h
Python and data tooling
NumPy and pandas, Data cleaning, Visualisation
- 218 h
Statistics for ML
Probability, Hypothesis testing, Bias and variance
- 328 h
Supervised learning
Regression and classification, Feature engineering, Model evaluation
- 420 h
Unsupervised learning and NLP basics
Clustering, Dimensionality reduction, Text features
- 516 h
Deploying a model
APIs, Packaging, Monitoring
- 630 h
Capstone
Scoping, Build, Write-up and demo
Who can enroll
Open to students and early-career professionals. Comfort with basic Python and school-level maths.
To earn the certificate
- Complete every module of the curriculum
- Submit a capstone project: an end-to-end ML project with a documented, deployed model
- Pass a final review by a Foundryy reviewer
- Follow Foundryy’s academic-integrity policy: the work you submit must be your own
Issued by Foundryy after the team has reviewed your capstone against the requirements.