In this post, we’ll show you the 10 best courses for:
- AI – Artificial Intelligence
- ML – Machine Learning
These courses will take you through the basics of AI and ML.
We’ll look at courses from certified, official education institutions.
At Guides.ai, we’re making the world’s leading tutorials for how to use AI & ML.
- However, you may be looking for a step-by-step course.
- That’s why this list exists.
Let’s check it out.
Listed: 10 Best Courses For AI & ML
1. Stanford’s Machine Learning – Andrew Ng
Pros
- High-quality material from Stanford.
- Taught by AI pioneer Andrew Ng.
- Excellent mix of theory and practical exercises.
Cons
- A bit dated in terms of current technologies.
- Math-heavy; could be intimidating for beginners.
Pricing
- Free to audit, Certificate for a fee.
Features
- Video lectures
- Quizzes
- Peer-graded assignments
Access online: Stanford’s Machine Learning
2. Fast.ai Courses
Pros
- Focus on practical application.
- Community support.
- Cutting-edge techniques.
Cons
- Less focus on underlying theory.
- Prior coding experience needed.
Pricing
- Free.
Features
- Interactive notebooks
- Video lectures
- Community forums
Access online: Fast.ai courses
3. Introduction to Artificial Intelligence with Python – Harvard CS50
Pros
- Comprehensive coverage.
- Good balance of theory and practice.
- High-quality course material.
Cons
- May be intense for absolute beginners.
- Time-consuming.
Pricing
- Free to audit, Certificate for a fee.
Features
- Problem sets
- Final project
- Lecture notes
Access online: Harvard’s AI & Python course
4. Introduction to Deep Learning – MIT
Pros
- Focused on neural networks.
- In-depth lectures.
- Taught by MIT faculty.
Cons
- Requires strong foundational knowledge.
- Complexity increases rapidly.
Pricing
- Free to audit.
Features
- Hands-on projects
- Video lectures
- Examinations
Access online: MIT’s Introduction to Deep Learning
5. Machine Learning Crash Course – Google
Pros
- Beginner-friendly.
- Business-oriented.
- Includes TensorFlow tutorials.
Cons
- May lack depth for more experienced learners.
- More focused on Google’s tools.
Pricing
- Free.
Features
- Interactive exercises
- Video lectures
- Multiple choice quizzes
Access online: Google’s Machine Learning Crash Course
6. Machine Learning Engineer Nanodegree – Udaciy
Pros
- Job-focused.
- Real-world projects.
- Mentor support.
Cons
- Expensive.
- Time commitment required.
Pricing
- Paid program.
Features
- Projects reviewed by industry experts
- Career services
- Technical mentor support
Access online: Machine Learning Engineer Nanodegree
7. Deep Learning Specialization – Andrew Ng, Coursera
Pros
- Advanced topics covered.
- Deep dive into neural networks.
- Practical tips for structuring projects.
Cons
- Requires prior knowledge in ML.
- Costs involved for certification.
Pricing
- Free to audit, Certificate for a fee.
Features
- Specialized quizzes
- Capstone projects
- Structured learning paths
Access online: Machine Learning Specialization – via Coursera
8. Machine Learning with Python Track – DataCamp
Pros
- Data manipulation focus.
- Project-based learning.
- Interactive coding exercises.
Cons
- Less theoretical foundation.
- Subscription required for full access.
Pricing
- Paid subscription.
Features
- Skill and career tracks
- Hands-on projects
- Instant feedback
Access online: Machine Learning & Phyton Track
9. Machine Learning Professional Certificate – edX IBM
Pros
- Industry perspective.
- Covers data science, ML, and AI workflows.
- Certificate from IBM.
Cons
- Costs for certification.
- Lacks hands-on projects compared to others.
Pricing
- Free to audit, Certificate for a fee.
Features
- Self-paced
- Professional certificate
- Final assessments
Access online: Learning Professional Certificate – edX IBM
10. Hands-On Python & R In Data Science – Udemy
Pros
- Broad range of topics.
- Hands-on coding.
- Course available for lifetime once purchased.
Cons
- Quality varies across topics.
- No formal certification.
Pricing
- One-time payment.
Features
- Downloadable resources
- On-demand video
- Q&A section
Access online: Udemy’s Machine Learning Course
Conclusion
You’ve reached the end of the list.
- We went through 10 of the most popular and effective AI & ML courses.
- Hope we helped you understand more about these courses…
- And pick one that’s most appealing to you.
Happy learning!
Learn how to become more productive with our guides on how to use AI.
Thank you for reading this,
Ch David and Daniel
