Home/freeCodeCamp/Machine Learning with Python Certification
freeCodeCamp · on freeCodeCamp

Machine Learning with Python Certification

4.7(5,800)·890K enrolled
Intermediate 300 hours English Completion CertificateFREE

About this course

freeCodeCamp's Machine Learning certification is built in partnership with TensorFlow and uses TensorFlow 2.x as the primary framework. It covers core neural network concepts (dense layers, convolutional networks, recurrent networks), natural language processing, reinforcement learning basics, and model evaluation — structured around video content developed with input from MIT.

Five certification projects include building a neural network book recommendation system, an SMS spam classifier, and a rock-paper-scissors playing neural network. It occupies the middle ground between the conceptual (Andrew Ng's ML Specialization) and the advanced (Stanford CS231n or CS224n) — a practical, free, project-grounded TensorFlow introduction.

What you'll learn

Build and train dense and convolutional neural networks with TensorFlow
Implement text classification with NLP techniques
Apply reinforcement learning fundamentals
Evaluate model performance and address overfitting
Complete five ML certification projects

This course includes

300h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS

Compare alternatives for Machine Learning with Python Certification

Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
freeCodeCamp4.7(5,800)
Machine Learning with Python Certification
Price
Free
Completely free, forever
Duration
300 hrs
Level
Intermediate
Certificate
Completion
MIT OpenCourseWare4.9(15,000)
Linear Algebra (18.06)
Price
Free
Completely free, openly licensed — no certificate
Duration
34 hrs
Level
Intermediate
Certificate
Stanford Online4.9(9,000)
CS231n: Deep Learning for Computer Vision
Price
Free
Free lecture materials; some versions paid
Duration
50 hrs
Level
Advanced
Certificate
Stanford Online4.9(7,000)
CS224n: Natural Language Processing with Deep Learning
Price
Free
Free lecture materials; some versions paid
Duration
50 hrs
Level
Advanced
Certificate
Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.

Instructor

FT
freeCodeCamp Team
freeCodeCamp instructor
890K+ learners12 courses4.7 instructor rating

Produced by freeCodeCamp in partnership with TensorFlow, with curriculum input from MIT, covering applied machine learning through practical TensorFlow projects.

Requirements

  • Python programming fundamentals; basic math comfort helpful

Who this course is for

  • Python developers moving into applied machine learning with TensorFlow
  • Anyone who completed Python fundamentals and wants free ML project experience
  • Learners who want ML skills but can't afford paid bootcamps or subscriptions

About this provider

FR
freeCodeCamp
Free, open-source coding curriculum. 9M+ learners, project-based certifications.
Visit freeCodeCamp

Frequently asked questions

TensorFlow 2.x throughout — if your target environment uses PyTorch (most research, many production systems), you'd need a separate PyTorch course.
Andrew Ng's Specialization is stronger on mathematical intuition and theory; this course is more implementation-focused with TensorFlow. Both are valuable for different depth needs.
Free
to audit
Enroll now