Python for ML
NumPy, Pandas, Matplotlib, Scikit-learn — the full stack. Set up in 20 minutes, productive in 2 days.
Cohort 4 · Enrolling Now
Master ML in 30 Days.
Ship on Day 31.
A ruthlessly practical machine learning course for working developers. Real projects, real code, real career outcomes — no PhD required.
4,200+ Students
4.9 Rating
30 Days · Self-Paced
Certificate Included
30-day money-back guarantee · No questions asked
What You'll Learn
From zero to deployed
in 30 focused days.
Every skill is taught through building. No endless theory. You code from lesson one and finish with a portfolio of real ML applications.
Data Wrangling
Clean, explore, and transform raw datasets. Handle missing data, outliers, and encode features like a pro.
Supervised Learning
Regression, classification, decision trees, random forests, XGBoost — when to use each and why it matters.
Neural Networks
Build and train deep networks with PyTorch. CNNs, RNNs, and transformers explained and implemented from scratch.
Model Deployment
Ship your models as REST APIs using FastAPI. Deploy to Render, Railway, or AWS — production-ready from day one.
LLM Applications
Build with OpenAI, LangChain, and vector databases. RAG pipelines, prompt engineering, and fine-tuning basics.
30
Days Total
12
Real Projects
4200+
Students
97%
Completion Rate
Course Curriculum
8 modules.
30 lessons.
12 capstone projects.
Each module builds on the last. By module 4 you're already shipping. By module 8 you've built an LLM-powered app that's live on the internet.
Total Course Content 30 hrs
Video lessons22 hrs
Projects & exercises8 hrs
Setting up Python, conda, Jupyter
NumPy arrays & operations
Pandas DataFrames in depth
Project: EDA on a real dataset
Feature engineering techniques
Handling missing data & outliers
Visualisation with Matplotlib & Seaborn
Project: Clean a messy real-world CSV
Linear & logistic regression
Decision trees & random forests
XGBoost & gradient boosting
Project: Predict house prices
Backpropagation & optimisers
CNNs for image classification
Transfer learning & fine-tuning
Project: Image classifier web app
Tokenisation & embeddings
BERT, GPT — attention mechanism
Project: Sentiment analyser
OpenAI API & prompt engineering
LangChain & vector DBs
Build a document Q&A bot
Project: Custom RAG pipeline
FastAPI model serving
Docker & containerisation
Project: Live API on Railway
Portfolio presentation skills
AI job market & interview prep
Capstone: Full-stack AI application
Your Instructor
Taught by someone who ships.
Darian Mwangi
ML Engineer · Previously Google DeepMind · Stanford MSc CS
I spent 6 years building production ML systems at companies you've heard of. When I started teaching, I was horrified by how much of online ML education was theoretical fluff with no real-world grounding.
MicroLearn exists because I wanted to build the course I wish I had — ruthlessly practical, project-first, and zero tolerance for hand-wavy explanations. Every lesson is something I've done in production.
6+
Years in ML
★ 4.9
Avg Rating
12
Papers Published
Pricing
One price. Everything included.
No subscription. No upsells. Pay once, learn forever. All future updates included at no extra cost.
Monthly Annual SAVE 40%
Billed monthly
Self-Paced
Learn at your own pace, forever.
$97 one-time
- All 30 video lessons
- 12 project starters
- Lifetime access
- 30-day money back
- No community access
- No certificate
Pro Most Popular
All Access
Everything you need to ship your first ML product.
$197 one-time
- Everything in Starter
- Private Discord community
- Certificate of completion
- Monthly live Q&A sessions
- Code review on all projects
- All future updates free
Group License
Train your whole engineering team.
$997 up to 10
- Everything in Pro × 10 seats
- Team progress dashboard
- Dedicated Slack channel
- Custom onboarding call
- Priority email support
- Invoice for tax purposes
30-day money-back guarantee
·
Secure checkout via Stripe
·
Instant access on enrollment
Student Reviews
4.9 out of 5 stars
Based on 386 verified reviews
"I went from zero Python to having a deployed ML model in 3 weeks. The projects aren't toy examples — mine is actually in production at my startup."
"I took 3 other ML courses before this. They were all theory-heavy and I couldn't apply anything. MicroLearn is different. Darian explains the 'why' AND makes you build."
"Got a job as an ML engineer 6 weeks after completing this. The certificate helped, but the portfolio of 12 projects was what actually got me the interviews."
"The LLM module alone is worth the price. I built a RAG pipeline for our company's internal docs after module 6. It saved us hours every week."
"I'm a data analyst who always wanted to move into ML. This course bridges that gap perfectly. The pacing is great and the community is incredibly supportive."
"Best $197 I've ever spent on education. The live Q&A sessions with Darian are worth the upgrade alone — he actually reviews your code in real-time."
Cohort 4 closes in 3 days
Start building.
Start building.
Start shipping.
Join 4,200+ developers who didn't wait for the "right time". The best time to start was last year. The second best time is right now.
✓ 30-day money-back guarantee ✓ Instant access ✓ Learn at your own pace ✓ Lifetime updates