Course
AI & Machine Learning
Understand how machine learning really works and build practical AI projects using Python and modern libraries.
Who is this course for?
- Students exploring AI careers
- University students working on ML projects
- Professionals adding AI skills
What students will learn
Data handling with NumPy and pandas
Supervised and unsupervised learning
Model evaluation and tuning
Neural network fundamentals and practical AI applications
Curriculum
- 1Module 1 — Python for data science
- 2Module 2 — Data preparation and visualisation
- 3Module 3 — Regression and classification
- 4Module 4 — Clustering and dimensionality reduction
- 5Module 5 — Neural network basics
- 6Module 6 — Capstone project
Learning outcomes
- Build and evaluate ML models
- Complete an end-to-end AI project
- Explain ML concepts clearly in interviews
Practice & assignments
- Notebook assignments
- Dataset case studies
- Capstone project review
Instructor information
Sessions are led by experienced Eva Global Learnings instructors with academic and industry teaching backgrounds. Instructor profiles are shared before your first class.
Reviews
What Students Say
What students say about our AI & Machine Learning classes.
“Building and evaluating my own models with guidance made machine learning practical rather than abstract.”
Theodore Ainsley — United States
AI & Machine Learning
“The maths behind the algorithms was explained clearly before we touched any library, which made everything else easier.”
Meera Raghavan — India
AI & Machine Learning
“I finished with a portfolio of ML projects that I could actually discuss in interviews.”
Imogen Radcliffe — Canada
AI & Machine Learning
FAQ
AI & Machine Learning — Frequently Asked Questions
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