Machine Learning Online Course in Coursera 2025

This beginner-friendly Machine Learning Introduction Specialization is an online program developed collaboratively by DeepLearning.AI and Stanford Online. It's designed to teach the fundamental concepts of machine learning and how to apply them to real-world AI projects, all delivered through Coursera's platform.

Course Information

• Who is it for: Beginners with basic high-school-level math and introductory coding experience
• What you'll learn:
  • Build ML models using NumPy and scikit-learn.
  • Train supervised models such as linear and logistic regression.
  • Build neural networks using TensorFlow for multi-class classification.
  • Explore unsupervised techniques: clustering, dimensionality reduction, recommender systems.
  • Learn best practices like model evaluation, tuning, and data-centric performance improvements
• Format & Duration: Typically a 3-course series completed in about 2 months at around 10 hours per week
• Where: Entirely online via Coursera, accessible worldwide
• Expert instruction by Andrew Ng, a leader in AI who co-founded Coursera and has led major AI programs at Stanford and beyond.
• Cost and Access
  • Free Audit Option
    • You can access most course materials (videos, readings) for free.
    • Does not include graded assignments or a completion certificate.
  • 7-Day Free Trial
    • Full access to all course content, including graded assignments and certificates.
    • Available through Coursera’s subscription services (e.g., Coursera Plus).
  • Financial Aid
    • Available for learners who cannot afford the subscription fee.
    • Apply directly through the course page.
  • Paid Subscription (Coursera Plus)
    • Costs $59 per month after the free trial.
    • Provides unlimited access to most Coursera courses and specializations.
  • Certification
    • To earn a certificate, you must enroll in the paid version.
    • Includes graded assignments and instructor feedback.