Course catalogue
Every Xypron course is placement-focused, project-driven and taught by a working practitioner. Browse the full catalogue, or jump straight to a pillar.
One stack. Endless possibilities.
Five job-oriented full stack tracks covering the frontend, the backend, the database and the deployment pipeline. You finish each track able to build, connect and deploy a complete web application on your own — the exact skill Chennai product teams and service companies hire freshers for.
The C# ASP.NET Core Full Stack program takes you from writing your first C# statement to shipping a production-shaped enterprise web application on the Microsoft stack. It is the track most in demand from Chennai's large services and BFSI employers, who run long-lived .NET estates and hire steadily for them.
Java remains the single largest hiring pool for freshers in Chennai, and the Java Full Stack track is built to put you in it. You start with core Java and object-oriented thinking, move through JDBC and MySQL, then build real web applications with Servlets, JSP and the Spring ecosystem.
The Python Full Stack program builds complete, powerful web applications end to end — and doubles as the cleanest on-ramp into Xypron's data and AI tracks, because the language is the same one used there.
MEAN puts one language — JavaScript — across the whole stack, and Angular at the front of it. That combination is what enterprise product teams standardise on when they want structure, strong typing and a framework with opinions.
MERN is the stack Chennai's product startups and digital agencies hire for most aggressively, and React is the single most requested frontend skill in the market. This track builds modern web applications with MongoDB, Express.js, React.js and Node.js.
Turn data into decisions.
Four tracks that move you along the analytics ladder — from cleaning and visualising data, to modelling it, to building and training neural networks. Each one is tool-heavy and project-driven, because analytics roles are hired on portfolio evidence, not theory.
The Data Analyst full stack course covers the complete analysis workflow: collect, clean, explore, visualise, and then communicate the finding to someone who has to act on it. That last step is what most analyst candidates cannot do, and it is what gets you hired.
The Data Science full stack course runs the complete workflow: collect, clean, explore, model, evaluate, communicate. It is deliberately broader than the Data Analyst track — you do not stop at the dashboard, you build the predictive model behind it.
This track goes deep on the machine learning layer alone — algorithm by algorithm, with the mathematics explained and then implemented rather than imported and hoped for.
Deep Learning covers neural network architectures properly: what each layer does, why gradients vanish, how a convolution actually sees an image, and what a transformer attends to.
Where your ideas become solutions.
Six specialist tracks on the frontier of the field — language models, retrieval systems, autonomous agents and generative AI. These are short, sharp, current programs for people who already code and want to be employable in the part of the market that is hiring hardest.
NLP covers the full arc of language processing: from tokenisation and classical statistical methods through word embeddings to transformer-based models.
This track treats large language models as engineering material rather than magic. You learn how they are trained, why they fail the way they do, and how to build reliable products on top of something fundamentally probabilistic.
RAG is the pattern behind almost every enterprise AI deployment: retrieve the right context from your own data, then let the model answer from it. It is also the pattern most teams implement badly, and retrieval quality is almost always the reason.
The Artificial Intelligence program is the broad foundation track for the AI pillar. It covers the field as a whole — search and reasoning, machine learning, neural networks, computer vision, language, and the ethics and deployment questions that come with all of it.
Agentic AI is the current frontier of applied LLM engineering: systems that decompose a goal, choose tools, act on the world, observe the result and correct course — without a human driving every step.
Generative AI covers creation across modalities: text, images, audio and video. You learn the model families behind each — transformers, diffusion models, GANs, VAEs — and then build with them.
Compare
Same fields for every track, so you can compare duration, mode and depth like for like.
| Course | Category | Duration | Mode | Level | Modules |
|---|---|---|---|---|---|
| C# ASP.NET Core Full Stack | Full Stack Development | 4 months | Classroom & Online | Beginner to Job-Ready | 6 |
| Java Full Stack | Full Stack Development | 4 months | Classroom & Online | Beginner to Job-Ready | 6 |
| Python Full Stack | Full Stack Development | 4 months | Classroom & Online | Beginner to Job-Ready | 6 |
| MEAN Full Stack | Full Stack Development | 4 months | Classroom & Online | Beginner to Job-Ready | 6 |
| MERN Full Stack | Full Stack Development | 4 months | Classroom & Online | Beginner to Job-Ready | 6 |
| Data Analyst | Data & Analytics | 3 months | Classroom & Online | Beginner to Job-Ready | 6 |
| Data Science | Data & Analytics | 4 months | Classroom & Online | Beginner to Job-Ready | 6 |
| Machine Learning | Data & Analytics | 3 months | Classroom & Online | Intermediate | 6 |
| Deep Learning | Data & Analytics | 3 months | Classroom & Online | Intermediate to Advanced | 6 |
| Natural Language Processing (NLP) | AI & Advanced Technologies | 2 months | Classroom & Online | Intermediate | 6 |
| Large Language Models (LLM) | AI & Advanced Technologies | 2 months | Classroom & Online | Intermediate to Advanced | 6 |
| Retrieval Augmented Generation (RAG) | AI & Advanced Technologies | 6 weeks | Classroom & Online | Intermediate to Advanced | 6 |
| Artificial Intelligence (AI) | AI & Advanced Technologies | 3 months | Classroom & Online | Beginner to Intermediate | 6 |
| Agentic AI | AI & Advanced Technologies | 6 weeks | Classroom & Online | Advanced | 6 |
| Generative AI | AI & Advanced Technologies | 2 months | Classroom & Online | Intermediate | 6 |
Next step
Book a free demo class, meet the trainer, and see the curriculum in action before you pay anything. No fee is taken online.
