Certification in
Software Engineering with
AI program
Certification in
Software Engineering with
AI program
- Learn from IIT faculty and industry experts.
- Hands-on with Python, JavaScript, React, Node.js, MongoDB, AWS, Docker, GitHub, and GenAI tools.
- Capstone Project: Portfolio-Ready Al Product.
Enter the following details to continue
Batch Starts
March 07, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/Week
Eligibility
12th Pass and Above
Learning Mode
Online
Batch Starts
March 07, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/Week
Eligibility
12th Pass and Above
Learning Mode
Online
2.3K+ students have already registered
Enter the following details to continue
Admission Process
Submit Application
Complete application form to showcase your motivation and goals
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Complete Counselling
Only shortlisted candidates go through the counselling process
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Start Learning
Learn from India’s top educators and stand out from the crowd
Fee Structure
Application Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹46,000
₹5,878 x 9 months
Total
₹50,000
₹56,902
** 18% GST extra, as applicable
Our NBFC Partners
Why choose this course?
Master New Age Software Engineering with Leading IIT Faculty
Certification from E&ICT Academy IIT Roorkee:
Receive a Certificate of Completion from E&ICT Academy IIT Roorkee, recognizing your achievement.
Campus Immersion:
An optional 3-day Campus Immersion for direct interaction with industry experts and peers.
Future-Proof Career Gateway:
Launch into a high-growth, future-proof Software engineering career with in-demand skills powered by AI.
Advanced Curriculum:
Access cutting-edge Software Engineering content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.
Practical-Based Learning:
Engage in real-world, case-based sessions that connect theory with practical Software engineering challenges.
Placement Opportunities:
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 65% attendance & overall 70% marks; offered by Masai)
Certificate Eligibility: Minimum 65% overall attendance and 35% in the cumulative evaluation score.
What Will You Learn?
Elevate your software engineering prowess. Learn to build intelligent applications, deploy scalable cloud solutions, and integrate Generative AI for unparalleled innovation. Drive your career forward with a robust portfolio built from hands-on labs simulating real-world AI development and cloud deployments. Secure your place as a high-impact software engineering professional, ready to lead with data-driven strategies and build intelligent digital products.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online
Certification
From E&ICT Academy, IIT Roorkee
Module 1: Programming Foundations + Developer Setup
- Python Fundamentals: Start from the ground up—variables, data types, operators, input/output, and writing simple programs with clear structure.
- Control Flow & Problem Solving: Conditionals, loops, nesting, and building the habit of thinking in steps (break a problem into small, testable parts).
- Functions & Modularity: Functions, parameters, return values, scope, and writing reusable code that is readable and maintainable.
- Core Data Structures: Lists, tuples, sets, dictionaries, strings, and common operations (searching, counting, transformations).
- Practical Python for Engineering: Error handling, basic file I/O, working with JSON, and writing simple utilities that feel "real".
- Developer Environment Setup: Python setup, virtual environments, dependency management basics, using terminals confidently, and debugging workflows.
- Git & GitHub Essentials: Version control basics, branching, commits, pull requests, code reviews, and collaborating safely on shared code.
Module 2: Web Fundamentals + JavaScript (Frontend-101)
- How the Web Works: Understand HTTP methods, status codes, headers, cookies, sessions, and CORS, with practical examples.
- APIs as Contracts: Learn how API design works in real products: request/response shape, error contracts, pagination, filtering, and documentation.
- Browser Basics for Backend Engineers: Learn enough HTML/CSS to create simple pages and understand how frontend teams consume backend APIs.
- JavaScript for Integration: Learn modern JavaScript essentials (ES6+), asynchronous programming (promises, async/await), and calling APIs from the browser.
Module 3: Backend Engineering with FastAPI
- FastAPI Core: Build REST APIs with routing, request validation, response models, error handling, and auto-generated OpenAPI docs.
- Database Foundations: SQL basics, schemas, relationships, and how to model data for real applications.
- CRUD and Beyond: Implement real endpoints with filtering, sorting, pagination, and robust error handling.
- Authentication & Authorization: Learn identity concepts, JWT/session patterns, password hashing, RBAC basics, and secure API access.
- Security Fundamentals: Validate input, prevent common API mistakes, handle secrets safely, and build secure defaults.
Module 4: LLM Foundations + OpenAI APIs (Build Reliable AI Features)
- The Rise of LLMs (Builder Level): Understand what tokens are, why context windows matter, what knowledge cutoff means, and why outputs can vary.
- OpenAI API Essentials (Python): Learn how to call LLM APIs, understand response structure, handle errors, retries, and rate limits in a professional way.
- Prompting for Real Products: Learn zero-shot and few-shot prompting, role prompting, structured output prompting, and how to design prompts that are stable.
- Controllability and Tradeoffs: Learn when temperature and max tokens matter, how stop sequences work, and what penalties affect.
- Security for LLM Apps: Learn prompt injection, untrusted inputs, safe retrieval patterns, and how to keep systems robust in adversarial settings.
- Integrating AI into FastAPI: Expose AI endpoints from your backend and design safe contracts around them.
Module 5: AI‑First Software Development (Coding Agents, Workflow, and Context Engineering)
- AI Pair Programming in Practice: Learn to use AI as a senior pair programmer for scaffolding, refactoring, debugging, and explaining code, while enforcing your code standards.
- GitHub Copilot as a Daily Tool: Learn how Copilot supports autocomplete, code suggestions, docstrings, and tests, and when to reject suggestions to avoid silent bugs.
- Context Engineering: Learn what to include in context (and what to avoid), how to keep the model grounded in your codebase, and how to reduce hallucinations with constraints.
- Building Specs with AI: Use AI to draft PRDs, user stories, acceptance criteria, API contracts, and edge cases, then refine them with human judgment.
- AI Coding Agents (Staying in Control): Learn a disciplined workflow where the agent proposes a plan, asks clarifying questions, makes small diffs, and gets reviewed through PRs.
- Design and UI/UX with AI: Rapidly draft UI flows and wireframes, then translate them into implementable user journeys and API requirements.
- Personal AI‑First Coding Framework: Each student builds their own repeatable workflow for using AI across design, implementation, and debugging.
Module 6: Shipping & Running AI Apps (Multimodal, LLMOps, Quality, Patterns)
- Deploying FastAPI Applications: Package and deploy services with correct environment management, secrets handling, and stable production configs.
- LLMOps Foundations: Learn prompt versioning, evaluation sets, regression testing for prompts, caching strategies, and latency/cost budgeting.
- AI‑Assisted Code Review and Quality: Use AI tools to review PRs, identify risks, suggest refactors, and improve readability while maintaining human ownership.
- Software Testing using AI (Practical): Use AI to generate test ideas and test cases, then validate them by running and debugging like an engineer.
- Multimodal AI (Practical Builders): Build at least one feature that uses non-text input (like images) and integrates safely into a product workflow.
Module 7: Capstone Project (Portfolio‑Ready AI Product)
- Build Sprint: Students build an end‑to‑end product with a FastAPI backend, a minimal frontend, and at least one meaningful AI feature.
- Engineering Artifacts: Students produce a PRD/spec, API documentation, architecture notes, evaluation notes for AI behavior, and a short demo.
- Quality Gate: The final submission must include a clean repository, working deployment, and clear documentation that another engineer can run.
Our Instructors
How will Masai Help you?
Career Readiness and Portfolio Building
We will help you build a strong portfolio and equip you with the skills needed to become job-ready for the industry.
Real-Time Learning Ecosystem
Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.
Industry Integration and Projects
Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.
How will Masai Help you?
Career Readiness and Portfolio Building
We will help you build a strong portfolio and equip you with the skills needed to become job-ready for the industry.
Real-Time Learning Ecosystem
Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.
Industry Integration and Projects
Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.
In the Spotlight
E&ICT IIT Roorkee, Masai to offer Data Science-AI, Machine Learning-AI, Software Engg with AI and Prompt Engg.
E&ICT IIT Roorkee, Masai launch technology programmes to build job-ready digital talent.
E&ICT IIT Roorkee and Masai have partnered to offer AI and digital technology certification programs.
IIT Roorkee and Masai Launch Technology Programmes to Build Job-Ready Digital Talent
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