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SIGMA 𝚺
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Complete Web Development (MERN)
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Complete DSA in Java/C++ (choice)
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Version Control (Git & Github)
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Projects like Zerodha, Airbnb,Zoom, Linkedin, ChatGPT,Github & many more
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Added Module : Docker, Kubernetes, WebRTC, AWS Constructs etc.
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Quant & Aptitude Preparation
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Core Subjects Study Material
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Individual Doubt Support for DSA & Development : TA
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2 Certificates of Completion
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Duration - 8.5 months
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Start Date - 19th Nov, 2025
SIGMA PRIME 𝚺+
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Everything included in Sigma
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Python & Data (pre-processing, collection & visualization)
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Machine Learning concepts & algorithms
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Math for AI
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Deep Learning & GenAI concepts
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Multiple AI/ML minor & major Projects
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Individual Doubt Support for DSA, Development & AI/ML : TA
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3 Certificates of Completion
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Start Date - 19th Nov, 2025
Classes starting from 19th Nov
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Complete MERN Stack
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Frontend & React
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Backend & Database
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Git & Github
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Multiple Industry Grade Projects
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Individual doubt support : TA
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Certificate of Completion
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Duration : 4.5 Months
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Java Language
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Data Structures & Algorithms
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Advanced DSA
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50 Live Practice Sessions with MAANG Engineers : alternate day
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Individual doubt support : TA
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Certificate of Completion
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Duration : 4 months
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Topic wise Selected Qs
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Crisp Video Explanation
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Practice Qs with Solutions
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TCS NQT : 10 Sample Papers
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Strategy for TCS, Wipro, Infosys Online Test
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Designed for Tech Placements
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Duration : 15 Days
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Only for Sigma Prime students
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Practical learning of AI/ML concepts
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Multiple AI/ML Projects for resume
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Designed for AI upskilling
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Individual doubt support : TA
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Certificate of Completion
What is Web?
Markup with HTML & JSX
Flexbox, Grid & Responsiveness
Bootstrap Layouts & Components
Frontend UI Framework - Tailwind CLI
Core JavaScript & Object Orientation
Async JS - promises, async/await
DOM & Events
Event Bubbling & Delegation
Ajax, Axios & fetch API
Functional React Components
Props & State Management
Dynamic Component Styling
Functions as Props
Hooks in React : useState, useEffect
Material UI
Custom Hooks
Supplement: Redux & Redux Toolkit
Version Control: Git & Github
Databases (SQL & No SQL)
Mongo Relationships
Dive deep into Mongo
Express, Nodejs & npm
REST APIs
Routing, cookies & session
Middlewares deep dive
EJS Templating
MVC Architecture
Client & server side Validations
Error Handling & flash-connect
Authorization
Cloudinary & MapBox with Geocoding
Deployment with Render
+ More Topics like Docker, Kubernetes, CI/CD, AWS Deployment, socket.io, webRTC etc. in Project based learning
Multiple Minor projects : Simon Says Game, Real-time Weather App (React), Todo List App, Spotify Replica etc.
Airbnb (Travel & Listing)
Zerodha (Investing & Stock Prices)
ChatGPT (OpenAI API integration)
Linkedin (Social Media)
Github (our own Version Control)
Zoom (Live Video Conferencing)
Flowcharts & Pseudocode
Variables & Data Types
Operators
Conditional Statements
Loops (Flow Control)
Patterns
Functions & Scope
Arrays & 2D Arrays
Sorting Algorithms
Strings
Pointers (additional chapter for Interviews)
Collections Framework in Java & STL in C++
Time & Space Complexity
Recursion & Backtracking
Divide & Conquer
Object Oriented Programming (OOPs)
Linked Lists
Stacks & Queues
Binary Trees
Binary Search Trees
Heaps (Priority Queue)
HashMaps & HashSets
Tries
Graph
Greedy Algorithms
Dynamic Programming
Segment Trees
Python (programming language)
Python concepts (loops, conditionals, list, tuple, sets, dictionary, functions etc.)
File Handling & JSON Module
Data collection, preprocessing & visualization
Numpy, pandas, matplotlib, seaborn etc.
Mathematics for AI
Supervised learning, unsupervised learning, reinforcement learning
Algorithms (Linear regression, Naive Bayes, KNN, Decision Trees, Logistic regression, K-means etc.)
Additional concepts: precision, recall, F1 score, bias/variance tradeoff etc.
Neural Networks & Terminologies
FNN, RNN, CNN architectures
Transformers
Tensorflow
PyTorch vs TensorFlow vs Keras
GenAI & LLMs agents (Language Language Models)
NLP (Natural Language Processing)
GAN & RAG concepts
Agentic AI
Cursor AI, Github co-pilot, Claude etc.
Working with OpenAI APIs
Flask (Development with AI)
Multiple minor & major projects
Industry grade domain specific projects
Finance, Recommendation system, Medical, E-commerce, Media etc.
GenAI assistant
Build your own version of full stack Airbnb with user authentication, property listings, and more.
Build your own version of MERN stack Zerodha with Restful APIs & AWS Deployment.
We'll explore the OpenAI APIs to build our own chatbot.
Build a MERN stack social media platform to connect & share with your network.
We'll attempt to implement our own version control system in the form of a full stack project.
Build a video conferencing solution using socket.io & WebRTC.
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You are just months away from cracking your dream company.
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Coding is simple. You just need the right guidance. Consistency & hard work will help you be Internship/Placement ready for Tech companies.
Frequently asked questions
Yes, this course will cover all important concepts from basic till advanced. So, there is no need to know anything about coding beforehand.
Anyone, from any background or field of study, can take up this batch and prepare for their placements & internships.
There will be a dedicated team of TAs in your Sigma community that will resolve your individual doubts.
As Sigma is a combo of 2 batches : the Development batch duration is almost 5 months & DSA batch duration is almost 4 months. Total duration will be around 9 months. AI/ML is separately covered.
AI/ML will be covered in a separate module with self-paced lectures & can be completed in ~4 months.
The batch is taught in Hinglish (a mix of Hindi & English), very similar to the launch video of the batch.
The batch is accessible for the duration of 2 years from the date of enrolment, both for DSA as well as Development.
AI/ML access will be for 15 months from the date of enrolment for AI/ML module.
Quant-Reasoning access will be given for 2 years.
For consistency a deadline is important and i.e. why we don't believe in lifetime access as it may lead to procrastination and prolonged unemployment.
AI/ML access will be for 15 months from the date of enrolment for AI/ML module.
Quant-Reasoning access will be given for 2 years.
For consistency a deadline is important and i.e. why we don't believe in lifetime access as it may lead to procrastination and prolonged unemployment.
Yes, you will get 3 certificates of completion, 1 for Development, 1 for DSA & 1 for AI/ML after finishing all the lectures respectively.
Yes, the schedule will be for alternate day lectures(for DSA & Development). Additional details about the live mentorship sessions & lectures are shared with students on orientation day (Day 1) of the batch.
AI/ML will be a separate module so the schedule/learning pace for this will be shared separately in orientation session.
AI/ML will be a separate module so the schedule/learning pace for this will be shared separately in orientation session.
Yes, the course has 300+ carefully curated DSA questions solved in class.
Yes, an exclusive Sigma community will be there for all enrolled students.
Please note that DSA Practice sessions (alternate days) & Shradha ma'am's mentorship sessions in the batch will be conducted in Live mode. The lectures will be available on alternate days & are to be completed in a self-paced manner.
All lectures & DSA practice sessions with mentors will be around 8PM on alternate days.
The timings for mentorships session with Shradha ma'am may vary but will be held in the evenings.
The timings for mentorships session with Shradha ma'am may vary but will be held in the evenings.
Yes, you are eligible to enrol as we will cover everything from basics to advanced. It is always better to start as early as possible. It will give you a good head start and ample time to practice.
You will find your batch in the My Batch section on the website. Please note, the lectures will be visible after the batch starts on 19th Nov, 2025.
In most of the cases this is because you filled a different email address or wrongly typed your email address while payment. In such a case please send us an email at sigma@apnacollege.in with the subject "ENROLMENT ISSUE Sigma Prime" along with your full name, phone number, payment id from Razorpay and a screenshot of your payment.
(Support team may take 24 hours to address your issue due to heavy load.)
Please refer to this video for help: https://www.youtube.com/watch?v=E4xgahYaHH0
(Support team may take 24 hours to address your issue due to heavy load.)
Please refer to this video for help: https://www.youtube.com/watch?v=E4xgahYaHH0
Currently Library feature is available for the following companies : Google, Microsoft, Amazon, Atlassian, Adobe and Goldman Sachs.
More companies will be added with time.
More companies will be added with time.
For all students who complete 100% of the batch (both Development & DSA), we'll set up one session of 1:1 live with an experienced mentor to review, correct & help customize their resume.
These are tools & techniques that will help us write good code.
A data structures is a named location that can be used to store and organize data.
An algorithm is a collection of steps to solve a particular problem.
It is the process of building websites for the internet. We use many websites like Amazon, Flipkart, Netflix & many more. We will learn the process of designing, building & deploying such websites on the internet.
MERN stands for MongoDB, Express, React & Node. These are the 4 key technologies that will be covered in the batch. MERN is the most popular stack for web development & choice for today’s web developers.
- Data Structures and Algorithms are frequently asked in Job interviews of many companies like Microsoft, Google, Amazon, Atlassian & many many more.
- It also help you to write optimized and scalable code.
- You will also learn to write code that runs faster and requires less storage.
- Almost all tech companies do some kind of development, thus becoming a SKILLED Full Stack Web Developer opens up a lot of jobs for you.
- You will built projects that will give you a practical coding & development experience. These projects will be useful when you apply for internships & placements.
- Even if you apply for Software Engineering roles, development experience will give you an edge in the selection process.
- You can also use your development skills to do freelancing, contribute to open source or work on building your own tech startup.
Quant & Aptitude is generally asked by multiple service based companies (like TCS, Wipro, Infosys etc.), consulting companies (like Bain, BCG, KPMG etc.) & FinTech Firms (like Goldman Sachs) in their hiring process, both on campus & off campus.
You can access lectures from any type of device - computer, laptop, phone, ipad etc. but you'll only be able to access/login to the batch on one device at once.