Current
Intermediate
40% Off
Fundamentals of Machine Learning and Artificial Intelligence
Coursera · Coursera · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
6 weeks, 5 hours/week
Classes
48
Build a strong foundation in machine learning and AI with comprehensive coverage of algorithms, models, and practical implementations. Learn supervised and unsupervised learning techniques with hands-on projects. Perfect for aspiring data scientists and AI professionals.
What you'll get
Master fundamental machine learning algorithms and concepts
Understand supervised, unsupervised, and reinforcement learning
Build and evaluate ML models for various problems
Apply feature engineering and data preprocessing techniques
Deploy machine learning solutions to real-world challenges
Fit
Best for
Leaders
Analysts
Researchers
Decision-makers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Basic programming knowledge recommended
Pricing
Free to audit, $49 for certificate
Certification
Certificate
Growth Leverage: Completing this course positions individuals for roles such as Data Scientist, Machine Learning Engineer, or AI Analyst, opening doors to certifications like TensorFlow Developer or AWS Certified Machine Learning. It equips learners with essential skills highly sought after in the tech industry.
Skills Value: The practical skills gained enable graduates to solve complex data problems, with employers offering competitive salaries, often exceeding $100,000 for roles in AI and machine learning. Companies are increasingly looking for professionals to implement machine learning solutions, driving significant demand and salary premiums in this sector.
machine-learning
ai-fundamentals
algorithms
supervised-learning
unsupervised-learning
model-evaluation