AI-Driven Software Engineering
Don't just learn to code with AI. Learn to engineer with AI.
A hands-on program where you take one real application through the complete software lifecycle — requirements, architecture, development, testing, security, deployment and AI agents — with AI as your engineering partner.
For students, fresh graduates, job seekers, career switchers and junior IT professionals.
- 10 live online sessions
- 1.5 hours each
- No programming experience needed
- Certificate of completion
- Bring your own app idea
Free introductory session
Dates announced soon
Free · Live online · Ask the instructor your questions
No payment. No commitment.
Vibe coding
Prompt → Code → Run → Fix → Repeat
Engineering with AI
- 01Understand
- 02Design
- 03Generate
- 04Test
- 05Review
- 06Verify
- 07Ship
- 08Operate
AI does more of the execution. You own the engineering.
The shift
AI can write code. Can you engineer the application?
Anyone can now generate components, APIs and even whole projects with AI. But generating code is not the same as engineering software. A real engineer has to answer questions like these:
- What problem are we actually solving?
- How should the system be designed?
- Is the API secure?
- What happens when two users change the same record?
- How do you test code that AI wrote?
- Can you explain and defend the decisions behind your application?
The advantage won't go to people who can ask AI to write code. It will go to engineers who know what to ask, what to build, what to verify and what to reject.
The difference
Vibe coding is useful. But it isn't engineering.
AI does more of the execution. You own the engineering.
Who it's for
Wherever you are in your IT career.
You don't need to be an AI expert, and you don't need prior programming experience.
Start your IT career
Students & fresh graduates
Build your first serious engineering project and develop skills that go beyond academic coding.
Restart or change your career
Job seekers & career switchers
Refresh your skills, build a portfolio project you can demonstrate, and learn how modern teams build with AI.
Accelerate your IT career
Junior IT professionals
Move from Task → Code → Fix → Deliver to Understand → Design → Use AI → Verify → Ship.
What you'll build
You won't just watch tutorials. You'll build a real application.
TalentAI is an AI-assisted recruitment application, built step by step through the program — jobs, candidates, resumes, AI screening, skill matching, interviews and recruiter workflows.
Have your own idea? Bring your own application idea and implement it as part of the course — applying each step to a project that's yours.
- Create job
- Add candidate
- Upload resume
- AI analysis
- Match score
- Shortlist
- Interview
- Decision
One application, the whole engineering journey
- 01Business problem
- 02Requirements
- 03Architecture & domain design
- 04API & database design
- 05Development
- 06AI integration
- 07Testing & debugging
- 08Security
- 09Git & agentic development
- 10Deployment
- 11Production review
What you'll learn
From requirements to production.
01Requirements engineering
Business requirements · user stories · acceptance criteria · business rules · non-functional requirements
02Domain & architecture
Domain modelling · DDD concepts · state machines · architecture decisions · context engineering
03API & database engineering
REST APIs · ER modelling · PostgreSQL design · constraints · indexes · transactions · optimistic locking
04AI-assisted development
AI coding · structured prompts · AI design critique · AI-assisted implementation
05Testing & verification
Unit, integration, API and end-to-end tests · test generation · AI-assisted code review
06AI application engineering
LLM integration · structured output · schema validation · AI workflows · responsible AI
07Security
Authentication · authorisation · API security · PII protection · prompt injection · LLM data leakage
08Agentic development
AI agents · bounded objectives · agent constraints · multi-step execution · human verification
09Git & deployment
Git · GitHub · branches · pull requests · CI/CD · cloud deployment
10Production engineering
Observability · logging · performance · scalability · AI cost · production review
What you'll be able to do
Imagine your interviewer asks…
- Why did you choose this architecture?
- What happens if two users update the same record?
- How did you test it?
- What happens if the AI gives a wrong answer?
- How did you secure the API?
Before
"I used ChatGPT to build my project."
After
"I took a business requirement, designed the domain and architecture, used AI to accelerate implementation, generated and verified tests, addressed security and concurrency, integrated AI capabilities, and deployed the application."
The method
How we use AI.
Human judgement + AI execution + continuous verification. Because AI-generated output is not evidence of correctness.
The AI engineering loop
- Context
- Analyse
- Design
- Generate
- Test
- Review
- Verify
- Refine
Don't just give AI a prompt. Give it context.
- Business context
- Domain model
- Architecture
- Coding conventions
- Business rules
- Constraints
- Acceptance criteria
→ Better AI execution
How software development is changing
- Traditional"I build it."
- AI-assisted"Help me build it."
- AI-driven"Help me engineer it."
- Agentic"Here's the goal. Execute it within these constraints."
The goal isn't to remove the engineer. It's to move the engineer's time toward higher-value work: requirements, architecture, decisions, verification, security and accountability.
Why it's different
This isn't another "learn AI tools" course.
Not just prompting
Learn to give AI meaningful engineering context.
Not just coding
Understand the complete software lifecycle.
Not just demos
Build a real application step by step — ours, or your own idea.
Not just AI generation
Test, review and verify what AI produces.
Not just development
Cover security, deployment and production concerns.
Not just a tool
Learn a repeatable engineering method.
What you leave with
At the end of the program.
- A working application — TalentAI, or your own idea, built step by step across the program.
- A portfolio project — One you can demonstrate and discuss in interviews.
- Practical AI development experience — Using AI across the whole software lifecycle.
- Experience with agentic development — Not just chat-based coding.
- Production-oriented thinking — Security, observability, scalability, cost and reliability.
- A repeatable method — That you can apply to your own projects.
- The ability to explain and defend the engineering decisions behind your project.
"Initially, I thought it would be more like vibe coding, but I realised that AI-driven development is much more than simply generating code. We went through different phases, from requirements and design to development, testing and more, with AI being involved throughout the process."
"In college, these aspects were not discussed in this much detail… Here, I got to understand how all the phases of development come together when building an application and how AI can be used effectively throughout the process."
Opportunities
Where can these skills take you?
Build skills for the AI-first software industry — to enter, restart or accelerate your career. The program prepares you for roles like these:
Software engineer
Requirements, architecture, development, testing and deployment — not just coding.
Full-stack developer
Frontend, backend, APIs, databases and cloud.
AI application developer
Applications that use LLMs, AI workflows and structured outputs.
AI / agentic developer
AI agents that execute multi-step tasks within goals, constraints and checks.
QA / AI testing engineer
Using AI to generate tests, investigate failures and review code.
Cloud / application engineer
Deployment, observability and scalability for modern applications.
More than job roles
- Build your own product
- Freelance development
- Startup and product teams
- Final-year and academic projects
- Open source
We don't promise jobs or placements. We help you build skills, a project and an engineering story you can stand behind.
Your instructor
Sanjay Anandkumar
29+ years in the software industry · Tata Consultancy Services
Sanjay builds real-world applications using modern software engineering practices, with AI across the development lifecycle. Through this program he helps learners move beyond asking AI to write code — to think, design, build, verify and ship software with AI as an engineering partner.
This isn't a course about what AI might be able to do. It's how an experienced engineer actually uses AI to build software.
Products built with this method
- Beruni
- Ardhana
- Ketlio
The program
- Format
- Live, online
- Sessions
- 10 sessions of 1.5 hours each
- Batch size
- Up to 50 participants
- Prerequisites
- None — no programming experience needed
- Certificate
- Certificate of completion
- Introductory session
- Free
Start with the free session
- Understand the approach
- See the application we'll build
- Ask your questions
- Then decide whether to continue
FAQ
Questions, answered.
Do I need to know programming?
No. The program is designed so you can join without prior programming experience. AI does much of the implementation; you learn how to direct it, read what it produces, and check it.
Is this just a prompt-engineering course?
No. Prompting is one small part. The program covers requirements, architecture, development, testing, security, deployment and agentic development, using one application throughout.
Will we build a real application?
Yes. The sessions build TalentAI, an AI-assisted recruitment application, step by step. You can also bring your own application idea and implement it as part of the course, applying each step to your own project.
Will AI write the code?
AI does significant implementation work. You learn to give it the right context, review its output, test it and verify that it meets the requirements — because AI-generated output is not evidence of correctness.
Is it online? What if I miss a session?
All 10 sessions are live and online, 1.5 hours each. Ask about catching up on a missed session at the free introductory session.
What does it cost, and when does the next batch start?
Start with the free introductory session: understand the approach, see the application we'll build and ask your questions — then decide whether you want to continue. The program fee and the next batch dates are shared at the session.
Will this get me a job?
No course can promise that. The program is designed to strengthen your project depth and interview readiness, by helping you build an application and understand and explain the engineering decisions behind it.
Who is this not for?
If you only want AI to generate a project for you, or you aren't interested in understanding how software is engineered, this program isn't the right fit.
Don't compete with AI at writing code. Learn to use AI as your engineering partner.
Understand the problem. Design the solution. Accelerate execution. Verify everything. Ship software you can explain and defend — even your own application idea.
Free introductory session
Dates announced soon
Free · Live online · Ask the instructor your questions
No payment. No commitment.
Live online · No programming experience required · Limited seats