A meticulously structured, production-focused curriculum that transforms you from learning syntax to deploying large language models at scale.
Python, Math & Data
Start from zero and build strong Python fundamentals — variables, data types, loops, functions, OOP, file handling, and error handling. You'll write clean, readable code from day one with real exercises.
Automated Student Grade Tracker with file I/O and summary reports
Junior Python Developer / Data Analyst
Master the two most-used data science libraries. Learn to clean messy datasets, filter, group, aggregate, merge, and reshape data — exactly how data analysts work every day at top companies.
IPL Match Dataset Analysis — uncover winning patterns and player performance
Data Analyst / Business Intelligence Analyst
Turn raw numbers into compelling visuals. Build interactive charts with Matplotlib, Seaborn, and Plotly. Learn the principles of visual storytelling that make dashboards executives actually read.
India COVID-19 Dashboard — interactive regional trend visualisation
Data Analyst / BI Developer
Write SQL that real data engineers write — complex JOINs, window functions, CTEs, subqueries, and performance optimisation. Work with PostgreSQL and MySQL on real schemas.
E-commerce Sales Analytics Database — customer segmentation and revenue reporting
Data Analyst / Backend Developer
Build the mathematical intuition that separates great ML engineers from average ones. Covers descriptive stats, distributions, hypothesis testing, A/B testing, Bayes' theorem, and correlation.
A/B Test Analyser — statistical significance calculator for marketing campaigns
Data Scientist / ML Engineer
Predictive Modeling
Understand how machines actually learn. Gradient descent, bias-variance tradeoff, overfitting, cross-validation, and evaluation metrics explained with visual intuition — not just formulas.
House Price Prediction System with end-to-end model evaluation pipeline
Junior ML Engineer
Deep dives into Linear Regression, Logistic Regression, Decision Trees, Random Forests, SVM, KNN, Gradient Boosting, and XGBoost. When to use each, and why.
Loan Default Prediction Model for a fintech company — deployed as REST API
ML Engineer / Data Scientist
K-Means, DBSCAN, Hierarchical Clustering, PCA, t-SNE, and anomaly detection. These algorithms power recommendation engines, fraud detection, and customer segmentation at scale.
Customer Segmentation Engine for a D2C brand — actionable marketing cohorts
ML Engineer / Data Scientist
The skill that separates Kaggle beginners from competition winners. Master encoding, scaling, imputation, feature selection, hyperparameter tuning with Optuna, and building robust ML pipelines.
Kaggle-ready ML pipeline for a tabular dataset — top 10% score target
Senior ML Engineer
Take your trained models to production. Build REST APIs with FastAPI, containerise with Docker, and deploy to cloud platforms. Learn versioning, monitoring, and serving at scale.
Production Spam Detection API — FastAPI + Docker + cloud deployment
ML Engineer / MLOps Engineer
Neural Networks
Build neural networks from scratch in NumPy, then in PyTorch. Understand backpropagation, activation functions, batch normalisation, dropout, and learning rate scheduling without the black-box mystery.
Handwritten Digit Recognition System — from scratch to 99.2% accuracy
Deep Learning Engineer
Convolutional Neural Networks, object detection (YOLO), image segmentation, and transfer learning with pre-trained models like ResNet and EfficientNet. Build systems that see and understand images.
Real-time Face Mask Detection System — OpenCV + YOLO + live camera feed
Computer Vision Engineer — ₹12–22 LPA
Understand the attention mechanism, multi-head attention, and the transformer architecture that powers every modern AI system. Fine-tune BERT, RoBERTa, and DistilBERT on domain-specific tasks.
Legal Document Summariser — fine-tuned BERT on Indian legal corpus
NLP Engineer / LLM Engineer — ₹15–28 LPA
ARIMA, SARIMA, Prophet, and LSTM-based forecasting. Build models that predict stock prices, sales demand, and energy consumption. Critical for fintech, retail, and supply chain roles.
Stock Price Movement Forecasting — LSTM with uncertainty quantification
Data Scientist / Quantitative Analyst
Collaborative filtering, content-based filtering, matrix factorisation, and hybrid approaches. Build the engines behind Netflix recommendations, Amazon product suggestions, and Spotify Discover Weekly.
Movie Recommendation Engine — deployed with a React frontend and user dashboard
ML Engineer / AI Engineer at product companies
LLMs & Agents
Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), sentiment analysis, named entity recognition, and text classification. The foundation for every LLM-powered application.
Multi-class News Category Classifier with custom embeddings and REST endpoint
NLP Engineer / AI Engineer
GANs, VAEs, diffusion models, and the landscape of modern generative AI. Understand how Stable Diffusion, Midjourney, and DALL·E work under the hood. Generate images, audio, and text programmatically.
AI Art Generation Studio — fine-tuned Stable Diffusion on custom style dataset
Generative AI Engineer — one of the hottest roles in 2025
Go beyond basic ChatGPT prompting. Master few-shot prompting, chain-of-thought reasoning, prompt chaining, structured outputs, and building reliable LLM-powered applications with OpenAI and Gemini APIs.
Intelligent Customer Support Bot — GPT-4 with fallback handling and cost controls
LLM Engineer / AI Architect — ₹18–35 LPA
Build AI systems that reason over your own documents without hallucinating. Chunking strategies, embedding models, vector databases (Pinecone, Weaviate, FAISS), and hybrid retrieval pipelines.
Company Knowledge Base Chatbot — RAG over 500-page PDF corpus, sub-2s latency
AI Engineer / Solutions Architect — top demand role at startups
Fine-tune open-source LLMs (Llama 3, Mistral, Phi-3) using LoRA and QLoRA on consumer hardware. Understand RLHF, DPO, and instruction tuning — the techniques that made ChatGPT actually useful.
Domain-Specific Medical Q&A Model — LoRA fine-tuned Llama 3 on clinical notes
Senior AI Engineer / ML Research Engineer — rare, high-paying skill
Build autonomous AI agents that plan, use tools, browse the web, write code, and self-correct. ReAct agents, multi-agent orchestration with LangGraph and AutoGen, memory systems, and agent safety.
Autonomous Research Agent — crawls web, synthesises findings, writes reports
Agentic AI Developer — the frontier of AI engineering in 2025
Deep dive into embedding models, approximate nearest-neighbour search (HNSW, IVF), and production vector database systems. Build semantic search engines that understand meaning, not just keywords.
Semantic Job Search Engine — 50K+ job descriptions, real-time query matching
AI/ML Engineer at search-centric companies — Swiggy, Flipkart, Amazon
MLOps & System Design
CI/CD for ML, experiment tracking with MLflow, model registry, A/B testing models in production, drift detection, and automated retraining pipelines. How Netflix and Uber run ML at scale.
Full MLOps Pipeline — training, tracking, deployment, monitoring for a fraud model
MLOps Engineer — ₹15–30 LPA, critically understaffed role
Deploy AI workloads on the big three clouds. AWS SageMaker, GCP Vertex AI, Azure ML, serverless inference, GPU instance management, and cloud cost optimisation for ML workloads.
Auto-scaling Inference Service — SageMaker endpoint with load testing and cost report
Cloud ML Engineer / Solutions Architect — cloud certifications supported
Design AI systems the way FAANG engineers do. Feature stores, embedding pipelines, online vs. offline serving, caching strategies, and how to answer ML system design interview questions at L5+ level.
Design Document — Instagram-scale recommendation system with full architecture review
Senior ML Engineer / Staff Engineer at top product companies
How enterprises buy, build, and deploy AI. Responsible AI, compliance, model governance, AI product management, and building internal AI tools that actually get adopted. For students targeting senior roles.
AI Product Spec — end-to-end product requirements for an internal HR AI assistant
AI Product Manager / AI Consultant — ₹18–40 LPA
Your final 6-week capstone — a production-grade AI system of your choosing, reviewed by industry mentors. Paired with intensive placement prep: mock interviews, resume polish, LinkedIn optimisation, and referrals.
Your own AI product — mentored, deployed, and added to your portfolio
Job-ready for ₹8–35 LPA AI roles across India and remotely
Our curriculum aligns perfectly with the most in-demand technical roles in the industry today.
18 months. 27+ Real projects. Production-grade AI skills. Stop watching tutorials and start building systems companies actually need.