Foundation Course

Foundations of Machine Learning & Deep Learning

Master core ML theory, hands-on labs, and build your first AI projects. This comprehensive course provides enough time for core theory, hands-on labs, and a mini capstone project.

40 hours
4 weeks
4.9 (2.1k reviews)

What You'll Learn

  • Core machine learning algorithms and concepts
  • Deep learning fundamentals with neural networks
  • Hands-on Python programming for ML
  • Real-world project implementation
  • Model evaluation and optimization techniques

Course Curriculum

1Introduction to Machine Learning
Fundamentals, types of learning, and problem formulation
6 hours • 8 lessons
2Supervised Learning Algorithms
Linear regression, classification, decision trees, and ensemble methods
10 hours • 12 lessons
3Deep Learning Fundamentals
Neural networks, backpropagation, and optimization techniques
12 hours • 15 lessons
4Hands-on Projects & Labs
Real-world applications and mini capstone project
12 hours • 6 projects
Course Details
Duration4 weeks
Total Hours40 hours
Difficulty
Beginner
Certificate
Yes
Students2,100+
$599

Meet Your Instructor

DR

Dr. Rachel Kim

Senior ML Engineer at Google AI

Dr. Kim has over 8 years of experience in machine learning and deep learning, with a PhD from Stanford. She has published 25+ research papers and led ML teams at top tech companies. Her expertise spans computer vision, NLP, and reinforcement learning.

PhD Stanford
Google AI
25+ Papers

What Students Say

"Perfect introduction to ML! The hands-on projects really helped me understand the concepts. Dr. Kim's teaching style is excellent."

JD
John Davis
Software Engineer

"Coming from a non-tech background, this course made ML accessible. The capstone project was challenging but rewarding!"

MR
Maria Rodriguez
Data Analyst

"Excellent foundation course! The balance between theory and practice is perfect. I feel confident to tackle more advanced topics now."

AL
Alex Liu
Product Manager