Cohort-based learning

From zero to ML engineer in 12 weeks

Not another video library. TensorLeap is an accelerated, cohort-based program where you build real ML projects, get live mentorship, and leave with a portfolio that gets hired.

import tensorleap
from sklearn.ensemble import RandomForestClassifier
 
model = RandomForestClassifier()
model.fit(X_train, y_train)
 
accuracy: 0.94
career_status: "ready"
$120K+
Average ML engineer salary
85-92%
Bootcamp job placement rate
77%
Companies impacted by AI skills gap
The Track

12 weeks. 5 projects. One career-ready portfolio.

01
Weeks 1-3

Foundations

Python, NumPy, Pandas. Data cleaning, EDA, and visualization. Build your first predictive model.

02
Weeks 4-6

Core ML

Supervised and unsupervised learning. Random forests, SVMs, clustering. Hands-on Kaggle projects.

03
Weeks 7-9

Deep Learning

Neural networks, CNNs, RNNs with TensorFlow and PyTorch. Computer vision and NLP fundamentals.

04
Weeks 10-12

Ship It

Capstone project with real data. Model deployment, MLOps basics. Portfolio review and career prep.

Why TensorLeap

Built for people who want results, not certificates.

⚡

Accelerated, not abbreviated

12 weeks of focused, daily work. No fluff modules, no filler content. Every session moves you closer to being hireable.

👥

Cohort-driven momentum

Learn alongside peers at your level. Pair programming, group projects, and accountability that solo courses can't match.

💻

Portfolio over paper

Graduate with 5+ real ML projects on GitHub. Hiring managers care about what you've built, not what certificate you earned.

💰

Priced for access

Top bootcamps charge $10K-16K. We believe world-class ML training shouldn't require a second mortgage.

The world needs more ML engineers. Not more people with certificates.

TensorLeap exists to close the gap between watching tutorials and shipping production ML. Built in Colorado. Training globally.