Train like an engineer from day one using pre-configured cloud labs, real repos, and production workflows.
✔ Your own cloud dev environment (ready in minutes)
✔ Small cohorts (max 6 people)
✔ Live guidance + accountability
✔ Work with Git, PRs, and team workflows
❌ You watch tutorials → but can’t build anything yourself
❌ You learn theory → but don’t know how real engineers work
❌ You install libraries for hours → and still get errors
❌ You try setting up CUDA → your laptop crashes or overheats
❌ Your system isn’t powerful enough → models don’t even run
❌ You waste days fixing environment issues instead of learning AI
❌ You depend on Google Colab → sessions disconnect, progress lost
❌ You finish courses → but your GitHub is empty
So when it’s time for internships or jobs… you’re stuck.
Every student gets a fully pre-configured cloud lab. No installs. No dependency issues. Just open your browser and start shipping real AI systems.
Skip hours of installing Python, CUDA, and libraries. Your environment is ready in seconds.
No local machine issues. Code, run, and build directly in your browser.
Preloaded with Python, ML frameworks, datasets, and real project scaffolding.
This isn’t a course. It’s a real engineering environment.
Colab is great for experiments. CookieCloud Labs is built for engineers.
| Feature | CookieCloud Labs | Google Colab |
|---|---|---|
| Full Linux workspace | ✅ | ❌ |
| VS Code IDE | ✅ | ❌ |
| Git workflow | ✅ | Limited |
| Pull requests | ✅ | ❌ |
| Team repos | ✅ | ❌ |
| Terminal access | ✅ | Limited |
| Docker support | ✅ | ❌ |
“Colab is for experiments. CookieCloud Labs is for engineers.”
STEP 1
Pre-configured environment, ready instantly. No setup required.
STEP 2
Work on real AI projects — not tutorials or toy examples.
STEP 3
Use Git, PRs, debugging, and deployment workflows.
STEP 4
Graduate with real projects and a strong portfolio.
Learn PyTorch, TensorFlow, Computer Vision and NLP — not just toy ML models.
Master Git and GitHub so you learn real development practices used in AI teams.
Train CNNs, build ML pipelines, and work with real datasets.
Tensorflow • CNN • MNIST
Train a convolutional neural network to recognize handwritten digits.
NLP • NLTK • TensorFlow
Build a sentiment classifier using real movie reviews.
YOLOv8 • OpenCV
Detect objects in images using modern computer vision models.
Tesseract • OpenCV
Extract text from images using optical character recognition.
Tensorflow • CIFAR10
Train a CNN to classify objects in the CIFAR10 dataset.
Scikit-Learn • Pandas
Build a full machine learning pipeline from data cleaning to evaluation.
All course material and projects are built using real Git workflows.
View Bootcamp Repository💻 Strong GitHub Portfolio
Real projects that recruiters can actually evaluate
🚀 Real Project Experience
Not toy examples — actual working systems
🔧 Dev Workflow Skills
Git, branches, pull requests — like real teams
🧠 Confidence to Build
Follow tutorials with confidence — and actually understand what you're building
Not just a certificate. Actual proof of skill.
✔ Build a real AI / ML capstone project
✔ Contribute to a shared GitHub repository
✔ Collaborate like real AI engineers
✔ Learn the industry AI workflow
✔ Build a strong AI portfolio
✔ Gain practical machine learning experience
Watch how the CookieSensei cloud AI lab works
Students receive their own personal AI lab environment.
🗓 Duration: 4 Weeks
🧠 2 Weeks Learning AI Foundations
🚀 2 Weeks Building the Capstone Project
☁️ Browser-Based Cloud AI Labs
👥 Maximum 6 Students Per Cohort
₹3,999 Early Cohort Price
Regular price ₹14,999
Includes:
Ask your questions about the AI bootcamp, schedule, or prerequisites.
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