Top 5 Udemy Courses to Learn Python, AI, and Machine Learning in 2026

My favorite Udemy courses to learn Python, AI and Machine Learning in 2026

Top 5 Udemy Courses to Learn Python, AI, and Machine Learning

Hello guys, if you have been following tech trends then you may know that Python has become the undisputed king of programming languages when it comes to Artificial Intelligence and Machine Learning.

Whether you’re an aspiring data scientist, a software engineer looking to pivot into AI, or simply curious about how machines learn, mastering Python for AI and ML is your ticket to one of the most exciting and lucrative fields in tech.

But with hundreds of courses available on Udemy, which ones are actually worth your time and money?

I’ve gone through 30+ Udemy Python, AI and Machine Learning courses, analyzed Reddit reviews, student ratings, and expert recommendations to bring you the top 5 Udemy courses that will transform you from a Python beginner to an AI-capable developer.

5 Best Udemy Courses to learn Python, Machine Learning and AI in 2026

Without any further ado, here are the best Udemy courses to learn AI, Machine Learning as well as Python from scratch in 2026

1. 100 Days of Code: The Complete Python Pro Bootcamp for 2025 by Dr. Angela Yu

Dr. Angela Yu’s course isn’t just another Python tutorial — it’s a comprehensive bootcamp that takes you from complete beginner to building real-world AI applications.

With over 1400,000 students and a stellar 4.7-star rating, this course has earned its reputation as Reddit’s #1 recommended Python course.

What You’ll Learn

  • 60+ hours of content spanning 100 days of structured learning
  • Python fundamentals through advanced concepts
  • Data science with Pandas, NumPy, and Matplotlib
  • Machine Learning basics and implementation
  • Web scraping and automation
  • API development and integration
  • Game development with Python
  • 100+ hands-on projects including portfolio pieces

What Makes It Perfect for AI & ML?

Unlike theoretical courses, Dr. Yu emphasizes practical application. You’ll build actual projects like data visualization dashboards, automated trading bots, and machine learning models.

The course covers essential Python libraries like Pandas and NumPy, which are foundational for any AI/ML work.

As one Reddit user shared: “This course challenges you to use what she teaches you many times along the way. You will know how to program Python when you finish this course.”

Here is the link to join this course — 100 Days of Code: The Complete Python Pro Bootcamp for 2025 by Dr. Angela Yu

Who Should Take This

  • Complete beginners with zero programming experience
  • Developers transitioning from other languages
  • Anyone serious about building a career in AI/ML
  • Self-learners who prefer project-based education

Pro Tip: Dedicate 1–2 hours daily for consistent progress. Don’t rush through — the real value comes from completing the projects.

2. Complete Python Bootcamp From Zero to Hero in Python by Jose Portilla

With over 1.2 million students and a 4.6-star rating, Jose Portilla’s Complete Python Bootcamp is considered the gold standard for learning Python on Udemy. Jose is also the Head of Data Science at Pierian Data and has taught Python to employees at companies like GE, The New York Times, and McKinsey.

What You’ll Learn

  • 22 hours of comprehensive Python instruction
  • Python 2 and Python 3 (important for legacy projects)
  • Object-oriented programming (OOP) concepts
  • Python decorators and generators
  • Web scraping with Beautiful Soup
  • Working with PDFs and Excel files
  • Database programming with Python
  • Advanced Python features

Why It’s Great for ML Beginners?

This course provides the strongest Python foundation you’ll find anywhere. Before diving into ML frameworks, you need to truly understand Python — and this course delivers that understanding.

Jose’s teaching style is clear, concise, and backed by real industry experience.

A Reddit reviewer who completed a Data Science master’s program shared: “One of the grads told me to do Jose Portillo’s course. I was miles ahead of everyone else in the class after it.”

Here is the link to join this course — Complete Python Bootcamp From Zero to Hero in Python by Jose Portilla

Who Should Take This?

  • Anyone who wants a rock-solid Python foundation
  • Developers who need to understand both Python 2 and 3
  • Professionals preparing for data science bootcamps or programs
  • Those who prefer a more traditional, comprehensive approach

3. Python for Data Science and Machine Learning Bootcamp by Jose Portilla

This is where Jose Portilla takes you from knowing Python to actually building machine learning models that work. With 25+ hours of content and over 500,000 students, this course bridges the gap between programming and practical data science.

What You’ll Learn

  • NumPy for numerical computing
  • Pandas for data manipulation and analysis
  • Matplotlib, Seaborn, and Plotly for data visualization
  • Machine learning algorithms (regression, classification, clustering)
  • Scikit-Learn for building ML models
  • TensorFlow basics for deep learning
  • Natural Language Processing (NLP) fundamentals
  • Big Data with Spark and Python

The Real-World Advantage

This course doesn’t just teach you algorithms — it teaches you the entire ML workflow: data collection, cleaning, exploration, visualization, model building, and evaluation. You’ll work with real datasets and build actual predictive models.

Here is the link to join this course — Python for Data Science and Machine Learning Bootcamp by Jose Portilla

Who Should Take This

  • Python programmers ready to specialize in ML
  • Data analysts transitioning to data science
  • Anyone with basic Python knowledge wanting to build ML skills
  • Professionals looking to add AI capabilities to their toolkit

Important Note: This course assumes you already know Python basics. Take Jose’s Python Bootcamp first if you’re a complete beginner.

4. Machine Learning A-Z™: AI, Python & R + ChatGPT Prize

Created by Kirill Eremenko and Hadelin de Ponteves, this course is the most popular machine learning course on Udemy with over 1 million students and a 4.5-star rating. It’s comprehensive, practical, and includes implementations in both Python and R.

What You’ll Learn

  • 40+ hours of cutting-edge ML content
  • Regression (Simple, Multiple, Polynomial, SVR, Decision Tree, Random Forest)
  • Classification (Logistic Regression, K-NN, SVM, Naive Bayes, Random Forest)
  • Clustering (K-Means, Hierarchical)
  • Association Rule Learning (Apriori, Eclat)
  • Reinforcement Learning (Upper Confidence Bound, Thompson Sampling)
  • Natural Language Processing (NLP)
  • Deep Learning (ANNs, CNNs)
  • Dimensionality Reduction (PCA, LDA, Kernel PCA)
  • Model Selection & Boosting (XGBoost, Grid Search)

The Code Templates Advantage

Every algorithm comes with ready-to-use code templates that you can immediately apply to your own projects. This is invaluable for quickly implementing ML solutions in real-world scenarios.

Here is the link to join this course — Machine Learning A-Z™: AI, Python & R + ChatGPT Prize

Who Should Take This?

  • Aspiring machine learning engineers
  • Data scientists wanting comprehensive ML knowledge
  • Developers who want to understand both Python and R
  • Anyone serious about mastering the full spectrum of ML algorithms

5. Complete A.I. & Machine Learning, Data Science Bootcamp

This comprehensive bootcamp combines AI theory, machine learning practice, and data science techniques in one complete package. With a 4.5-star rating and growing student base, it’s designed to take you from complete beginner to job-ready AI developer.

What You’ll Learn

  • Complete Python programming from scratch
  • Machine learning algorithms and implementation
  • Deep learning with TensorFlow and Keras
  • Natural Language Processing (NLP)
  • Computer Vision fundamentals
  • Working with real datasets
  • Building and deploying AI models
  • Career guidance and portfolio development

The Practical Career Focus

Unlike purely academic courses, this bootcamp includes career advice, contribution to open-source projects, and guidance on building a portfolio that gets you hired. The instructors focus on skills that employers actually want.

Here is the link to join this course — Complete A.I. & Machine Learning, Data Science Bootcamp

Who Should Take This?

  • Career changers moving into AI/ML
  • Students preparing for tech careers
  • Developers wanting end-to-end AI knowledge
  • Anyone who wants career-focused AI training

Bonus Resources to Accelerate Your Learning

Here are few more reosurces which you can use in your journey:

Exploring Agentic AI

If you’re interested in the cutting edge of AI, check out these courses on building AI agents:

Mastering Google Gemini AI

The Complete AI Engineer Path

Making the Most of Your Udemy Learning Journey

Here are few tips to save money and make most of your learning in Udemy:

Money-Saving Tips

  1. Never pay full price: Udemy courses regularly go on sale for $10–15. Wait for these sales (they happen almost weekly).
  2. Consider Udemy Personal Plan: For $30/month, get access to 11,000+ courses — perfect if you want to take multiple courses.
  3. Leverage the 30-day money-back guarantee: Try a course risk-free.

Learning Strategies That Work

  1. Code along: Don’t just watch — actually type out the code yourself.
  2. Complete every project: The real learning happens when you build.
  3. Join the course communities: Most instructors have Discord servers or discussion forums.
  4. Build your own projects: Apply what you learn to solve problems you care about.
  5. Consistency over speed: 1–2 hours daily beats weekend cramming sessions.

Your Learning Path

For Complete Beginners:

  1. Start with Angela Yu’s 100 Days of Code or Jose Portilla’s Python Bootcamp
  2. Build solid Python foundations (3–6 weeks)
  3. Move to Jose’s Data Science & ML Bootcamp
  4. Explore Machine Learning A-Z for comprehensive ML knowledge

For Python Developers:

  1. Jump straight into Python for Data Science and Machine Learning Bootcamp
  2. Follow with Machine Learning A-Z for depth
  3. Specialize with advanced AI and Agentic AI courses

Final Thoughts: Your AI Career Starts Today

The field of AI and Machine Learning is no longer the future — it’s the present. Companies across every industry are desperately seeking professionals who can build, deploy, and maintain AI systems.

By mastering Python for AI and ML through these courses, you’re investing in one of the most valuable skill sets of our time.

Remember: The best course is the one you actually complete. Pick one that matches your learning style, commit to it, and code along with every lesson.

Whether you choose Dr. Angela Yu’s project-intensive bootcamp or Jose Portilla’s comprehensive approach, you’re taking the first step toward a transformative career in AI.

The question isn’t whether you should learn AI and Machine Learning — it’s when you’ll start. Why not today?

Other AI and Machine Learning articles you may like

P. S. — If you just want to do one thing then I suggest go and join 100 Days of Code: The Complete Python Pro Bootcamp for 2025 by Dr. Angela Yu, this is a great course for complete beginner to learn Python for AI and Machine Learning.

Top 5 Udemy Courses to Learn Python, AI, and Machine Learning in 2026 was originally published in Javarevisited on Medium, where people are continuing the conversation by highlighting and responding to this story.

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