Machine Learning Foundations: Models That Learn
Understand how machines learn — from data to predictions
By Dr. Amara Okafor
Outcome
Build a practical, usable AI skill
Project based
Apply what you learn as you go
Achievement
Complete the course and earn a certificate
Next step
Continue into your next AI capability
The outcome
What you'll be able to do after this course
A practical, beginner-friendly introduction to machine learning. Learn how ML models work, the difference between supervised, unsupervised, and reinforcement learning, and how to train, evaluate, and deploy simple models — all without heavy math. By the end, you'll build and test your first ML model on real data.
What you'll build
A practical course project that turns the lessons into something you can use, demonstrate, or build on.
Follow the curriculum, apply each skill, and finish with a concrete outcome instead of only watching videos.
Skills you'll gain
Career & business applications
Ways this skill may be applied professionally
$90-220/hr
Illustrative course metadata only; no income outcome is promised.
Career paths you can pursue:
Step by step
Curriculum
What Is Machine Learning? The Big Picture
A clear, jargon-free introduction to what machine learning is and why it matters.
Supervised Learning: Learning from Examples
Explore the most common ML approach — learning from labeled data.
Unsupervised Learning & Reinforcement Learning
Discover how machines find patterns without labels and learn by trial and error.
Training, Testing, and Evaluating Models
Learn how to build reliable models and avoid the #1 ML mistake: overfitting.
Deploying Your First ML Model
Take a model from notebook to production — and keep it working.
Complete & certify
Finish the course requirements to mark this skill complete and unlock your AIVue course certificate when available.
Continue your path
Use this course as one building block in your broader AI skills journey, then move into the next capability.
Explore next skillsStudent reviews
Switched careers from teaching to ML engineering
I was a high school math teacher wanting to break into tech. The ML Foundations course made the concepts click without drowning me in math. I built my first model in week two, and three months later I landed an ML engineer role.
Diego Ramirez
ML Engineer at fintech startup
Your instructor
Dr. Amara Okafor
ML Researcher & Data Scientist
Who this is for
Learners who want practical, current AI skills they can apply to work, business, creative projects, or their next build.
Before you start
- Basic comfort with data and spreadsheets
- No programming experience required