Learn In తెలుగు
Learn the Exact Stack Companies Use Today
(Minimum 65% overall attendance and 30% marks in cumulative evaluations score)
Learn React, Python, FastAPI, APIs, databases, deployment, and AI-assisted workflows.
Use tools like Cursor, Claude Code, OpenAI APIs & LangChain in real projects.
Create and deploy full-stack AI applications as part of your capstone.
Get placement assistance, resume reviews, and coaching.
(Eligibility: 7+ CGPA and 65% attendance)
Learn from engineers and mentors from Microsoft, Amazon & Warner Bros
₹12 - 37.4 LPA
Work on scalable product engineering & software systems.
Source: 6figr₹10 - 30.9 LPA
Build end-to-end web applications using React, Python & APIs.
Source: 6figr₹15 - 41.7 LPA
Build AI-powered applications using LLMs, APIs & automation stacks.
Source: 6figr₹5 - 47 LPA
Deploy AI systems, automate workflows & integrate business AI tools.
Source: Glassdoor3× avg salary vs non-tech peers after 1 year
70% of AI engineer roles require React + Python stack
Hyderabad saw a 51% rise in AI hiring
Companies like Google and Infosys are actively hiring for AI Engineers + Data Scientists from Hyderabad right now
This 4-month online programme designed for college students and freshers to become role-ready software engineers and product builders. It combines core programming fundamentals in JavaScript and Python with full-stack development, AI-assisted coding workflows, and real-world deployment practices. By the end of the programme, learners build and ship a complete product as a capstone, creating a strong portfolio for entry-level developer roles.







Assistant Professor, IIT (ISM) Dhanbad


Ex-Cred, Swiggy


Warner Bros Discovery


Software Engineer at Microsoft


JP Morgan Chase ( Ex Amazon, Intuit )


Assistant Professor, IIT (ISM) Dhanbad


Ex-Cred, Swiggy


Warner Bros Discovery


Software Engineer at Microsoft


JP Morgan Chase ( Ex Amazon, Intuit )

*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Foundation builds programmer fluency and full-stack craft over 10 weeks: JavaScript, web fundamentals, Git, AI-assisted coding, React frontend, and Python FastAPI backend, culminating in shipped full-stack applications.
module 1
JavaScript fluency through variables, control flow, functions, arrays, and objects.
module 2
HTML semantics, CSS layout, and Tailwind for responsive, accessible interfaces.
module 3
Git, GitHub, branching, pull requests, and code review etiquette.
module 4
Cursor and Claude Code as daily collaborators for prompt patterns and AI hygiene.
module 5
React, components, hooks, state, and routing for real interactive web apps.
module 6
Python with FastAPI, REST APIs, and request and response design.
Industry Readiness Spotlight introduces autonomy-mode AI thinking and algorithmic problem-solving practice for entry-level technical screens, plus capstone integration where learners ship a real Indian-context product end to end.
module 1
Two autonomy modes for AI-augmented work, with verification loops and collaboration patterns.
module 2
Arrays, strings, recursion, and time-complexity reasoning calibrated to entry-level technical screens.
module 3
Ship an Indian-context product end to end: spec, build, test, and deploy with CI/CD.
Core Essentials adds the data, deployment, testing, and Software 3.0 disciplines that turn classroom code into shipped products: PostgreSQL, Pytest, Docker, AWS deployment, CI/CD, and LLM API workflows.
module 1
PostgreSQL via Neon: schemas, queries, joins, and data modelling for real apps.
module 2
Pytest fundamentals, the test pyramid, and verifying AI-generated code critically.
module 3
Docker containerisation, AWS deployment, and GitHub Actions CI/CD pipelines.
module 4
LLM APIs, prompts as programs, RAG pipelines, and the eval discipline.
Foundation builds programmer fluency and full-stack craft over 10 weeks: JavaScript, web fundamentals, Git, AI-assisted coding, React frontend, and Python FastAPI backend, culminating in shipped full-stack applications.
module 1
JavaScript fluency through variables, control flow, functions, arrays, and objects.
module 2
HTML semantics, CSS layout, and Tailwind for responsive, accessible interfaces.
module 3
Git, GitHub, branching, pull requests, and code review etiquette.
module 4
Cursor and Claude Code as daily collaborators for prompt patterns and AI hygiene.
module 5
React, components, hooks, state, and routing for real interactive web apps.
module 6
Python with FastAPI, REST APIs, and request and response design.
Industry Readiness Spotlight introduces autonomy-mode AI thinking and algorithmic problem-solving practice for entry-level technical screens, plus capstone integration where learners ship a real Indian-context product end to end.
module 1
Two autonomy modes for AI-augmented work, with verification loops and collaboration patterns.
module 2
Arrays, strings, recursion, and time-complexity reasoning calibrated to entry-level technical screens.
module 3
Ship an Indian-context product end to end: spec, build, test, and deploy with CI/CD.
Core Essentials adds the data, deployment, testing, and Software 3.0 disciplines that turn classroom code into shipped products: PostgreSQL, Pytest, Docker, AWS deployment, CI/CD, and LLM API workflows.
module 1
PostgreSQL via Neon: schemas, queries, joins, and data modelling for real apps.
module 2
Pytest fundamentals, the test pyramid, and verifying AI-generated code critically.
module 3
Docker containerisation, AWS deployment, and GitHub Actions CI/CD pipelines.
module 4
LLM APIs, prompts as programs, RAG pipelines, and the eval discipline.