Our Courses
Three courses, three entry points. Whether you're starting from zero or leveling up, you graduate with real skills you can use immediately.
₹5,000
starting from
6+1
projects per course
Live
online sessions
1:1
mentorship
01
Artificial Intelligence & Machine Learning
Advanced AI Engineering — Build Intelligence From First Principles
Build 6 projects + 1 capstone. Deploy models to production. Graduate with a portfolio ready for AI/ML roles.
Duration
16 weeks
Format
Live online + recorded + 1:1 mentorship
Prerequisites
Basic Python & mathematics (we'll bridge gaps)
What You'll Learn
— Neural Networks & Deep Learning
— Transformers & LLMs
— Computer Vision
— Reinforcement Learning
— MLOps & Deployment
— Research Paper Implementation
Full Syllabus
Foundations of Machine Learning
Weeks 1–2 ● Linear Algebra & Calculus Review
● Probability & Statistics
● Python for ML (NumPy, Pandas, Matplotlib)
● Exploratory Data Analysis & Visualization
Classical Machine Learning
Weeks 3–5 ● Supervised Learning: Linear/Logistic Regression, SVM, Decision Trees, Random Forest
● Unsupervised Learning: K-Means, PCA, t-SNE, DBSCAN
● Ensemble Methods: Bagging, Boosting, Stacking
● Model Evaluation & Hyperparameter Tuning
Neural Networks & Deep Learning
Weeks 6–8 ● Perceptron & Multi-Layer Perceptron
● Backpropagation & Gradient Descent Variants
● Regularization: Dropout, Batch Norm, Early Stopping
● CNN Architectures: LeNet, ResNet, YOLO
● RNNs, LSTMs, GRUs
Transformers & Large Language Models
Weeks 9–11 ● Attention Mechanism & Self-Attention
● Transformer Architecture (Encoder-Decoder)
● BERT, GPT, LLaMA — Architecture & Training
● Fine-tuning & Prompt Engineering
● RAG & Agentic AI Systems
Computer Vision
Weeks 12–13 ● Image Processing & Feature Extraction
● Object Detection & Segmentation
● GANs & Diffusion Models
● OpenCV & Real-World Deployment
MLOps & Production Deployment
Weeks 14–16 ● Model Serving with FastAPI & TensorRT
● Docker, CI/CD for ML Pipelines
● Monitoring, Logging & Drift Detection
● A/B Testing & Experiment Tracking (MLflow)
Ready to start your journey?
Enrol Now
02
Python Programming
Python Mastery — From Zero to Production-Ready
Write production-grade Python. Build APIs, automate workflows, ace coding interviews. Graduate with 6 projects + 1 capstone.
Duration
12 weeks
Format
Live online + recorded + 1:1 mentorship
Prerequisites
Basic computer literacy. No prior coding experience required.
What You'll Learn
— Core Python & Advanced Concepts
— Data Structures & Algorithms
— Async Programming
— Testing & Debugging
— API Development
— System Design Fundamentals
Full Syllabus
Python Fundamentals
Weeks 1–2 ● Variables, Data Types, Control Flow
● Functions, Scope, Closures & Lambda
● Lists, Tuples, Sets, Dictionaries — Deep Dive
● Comprehensions, Generators & Iterators
Advanced Python
Weeks 3–4 ● Decorators & Context Managers
● Metaclasses & Descriptors
● Itertools, Functools & Standard Library Mastery
● Concurrency: Threading, Asyncio, Multiprocessing
Data Structures & Algorithms
Weeks 5–7 ● Arrays, Linked Lists, Stacks, Queues
● Trees, Graphs, Hash Tables
● Sorting & Searching Algorithms
● Dynamic Programming & Greedy Algorithms
Testing & Debugging
Week 8 ● unittest & pytest — Writing Testable Code
● Mocking, Fixtures & Parameterization
● Property-Based Testing with Hypothesis
● Debugging, Profiling & Optimization
API Development
Weeks 9–10 ● FastAPI & Flask — Building RESTful Services
● RESTful Design Patterns & Best Practices
● Authentication & Authorization (JWT, OAuth)
● Database Integration with SQLAlchemy
System Design & Production
Weeks 11–12 ● Design Patterns in Python
● Microservices Architecture & Message Queues (Redis, RabbitMQ)
● Docker, Deployment & CI/CD
● Monitoring, Logging & Production Best Practices
Ready to start your journey?
Enrol Now
03
Basic Python for Beginners
Python from Scratch — No Experience Needed
Write Python with confidence. Understand fundamentals, write scripts, solve problems, and build your first projects.
Basic
₹5,000
• All lectures & recordings
Standard
₹7,000
• All lectures & recordings• Practice platform access (200 coding questions)
Premium
₹15,000
• All lectures & recordings• Practice platform access (200 coding questions)• Project workspace access• Monthly 1-on-1 mentorship
Duration
8 weeks
Format
Pre-recorded lectures + live Q&A sessions
Prerequisites
No prior experience required. Just a computer and willingness to learn.
What You'll Learn
— Python Fundamentals
— Control Flow & Loops
— Functions & Modules
— Data Structures
— File I/O
— OOP Basics
Full Syllabus
Getting Started with Python
Week 1 ● What is Python? Installation & Setup
● Your First Program — Hello, World!
● Variables, Data Types & Type Conversion
● Taking User Input & Printing Output
Control Flow & Logic
Week 2 ● Conditional Statements (if, elif, else)
● Logical & Comparison Operators
● Loops — while and for
● Nested Loops & Loop Control (break, continue)
Functions & Modules
Week 3 ● Defining & Calling Functions
● Parameters, Arguments & Return Values
● Scope & Namespace
● Importing & Creating Modules
Data Structures
Week 4 ● Lists — Creation, Indexing, Slicing, Methods
● Tuples & When to Use Them
● Dictionaries — Key-Value Pairs
● Sets & Set Operations
Strings & File Handling
Week 5 ● String Methods & Manipulation
● String Formatting (f-strings, format)
● Reading & Writing Files
● Working with CSV & JSON
OOPS & Error Handling
Week 6 ● Classes & Objects
● Inheritance & Polymorphism
● try, except, finally
● Raising Custom Exceptions
Essential Libraries & Tools
Week 7 ● Working with datetime & math
● List Comprehensions & Generator Expressions
● Lambda, map, filter, reduce
● Introduction to pip & Virtual Environments
Mini Projects & Next Steps
Week 8 ● Project 1: Calculator or To-Do App
● Project 2: File Organizer Script
● Debugging Techniques & Best Practices
● Roadmap — What to Learn Next
Ready to start your journey?
Enrol Now