All Courses
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Click "Enroll" to fill out a quick Google Form and secure your spot in the next batch.
ML Pre-requisite Course Batch - 3
Learn Python, NumPy, Pandas, and Matplotlib the core stack every ML practitioner needs.
Machine Learning Course Batch - 1
Supervised & Unsupervised Learning. Decision trees, SVMs, k-means, PCA - theory and practical implementation with scikit-learn.
Learning Paths
Pick your track
Follow a curated sequence of workshops to master a specific area of ML.
ML Foundations Track
Beginner
1. Python Basics
2. NumPy & Pandas
3. Supervised Learning
4. Model Evaluation
5. Mini Project
Deep Learning Track
Intermediate
1. Neural Networks
2. CNNs & Image Data
3. RNNs & Text
4. Transformers
5. Capstone Project
Applied AI Track
Advanced
1. LLMs & Prompting
2. RAG Systems
3. Model Deployment
4. Real-World Project
New batches start every month. Enrolling via the form adds you to the waitlist for the next available session.
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