Duration
6 months
24 structured weeks, one clear goal per month
Cohort 01 · Live in Kochi · 20 seats
6-Month Agentic AI
Developer Program
A full-time, in-person program that takes you from basic programming to job-ready AI engineer — by building six real projects with mentors in the room, four days a week.
The essentials
/the program at a glance
Schedule
4 days a week
Tue–Fri, 10 AM – 5 PM IST · 5 hours of class + discussion
Format
100% in person
Live “Learn–Build–Socialise” sessions on campus in Kochi
Batch size
20 seats only
Small enough that mentors know every student by name
Certificate
Agentic AI Developer
Plus a LinkedIn Skills Badge and a 6-project portfolio
Access
Lifetime
Course material, career support and the alumni network
Why now
/why agentic AI?
Three numbers — and one pattern from tech history — explain why this program exists.
The jobs moved — to agents
−42,000+
roles shed by India's big four IT firms, 2023–25
+54%
growth in AI/ML hiring in a single year
The demand didn't disappear. It shifted — away from routine IT roles and toward the people who can build agentic systems.
53%pay premium for AI skills in India
The skill premium is real
AI-skilled professionals already out-earn their peers — and the gap widens fastest for engineers who build agents, not just use them.
80%of engineers need AI-augmented skills by 2027 — Gartner
Agents are the new software
Companies aren't buying chatbots anymore — they're deploying agents that research, code, sell and support on their own.
Early beats perfect
Every wave rewarded the early
2000
Web development
The dot-com wave — early HTML builders became the industry's first architects.
2010
Mobile apps
The app-store wave — early iOS and Android developers named their price.
2026You are here
Agentic AI
Young enough that six focused months puts you ahead of the market.
How a day works
/five hours, five gears
Every class day follows the same rhythm — modelled on how real engineering teams work. No passive lectures; every hour has a job.
- H1
Agent Huddle & Demo
Students show what they built yesterday and review each other's code — like a daily stand-up at a real tech company.
- H2
Core Concept Theory
The day's big idea, taught live at the whiteboard by a mentor — no pre-recorded videos.
- H3
Guided Lab
Everyone codes the concept together, step by step, with mentors walking the room.
- H4
Collaborative Sprint
Team challenges, agent role-play and logic puzzles that turn theory into instinct.
- H5
Creative Play & Push
Students work on their own capstone project and push the day's code to GitHub — visible proof of progress, every single day.
Days 1–3 · Build. Agentic workflows, frameworks and hands-on AI development.
Day 4 · Career Day. Coding fundamentals (DSA), mock interviews, resume and portfolio work — every week, all six months.
Program curriculum
/what you learn in 6 months
24 weeks, six clear goals, six shipped projects. Month 1 delivers a working AI automation before the theory gets deep — students see results in week four, not month four.
M1
Month 01 / 06
Weeks 1–4
Quick Win Phase — No-Code Automation
Build a working AI automation in the very first month — confidence before complexity.
- Generative AI foundations — what today's AI models can and can't do
- Visual workflow tools — build automations without heavy coding
- Event-driven triggers — make things happen automatically
- Connecting apps: online forms, spreadsheets and messaging bots
- Python starter skills — variables, loops and reading data
Career day:GitHub & LinkedIn profiles, networking basics, writing a great project README
Ship:Capstone 1 — Web form → Spreadsheet → Bot alert
A real office automation: someone fills a web form, a spreadsheet updates itself and a bot sends an instant alert.
M2
Month 02 / 06
Weeks 5–8
The AI Developer's Web Stack
Move from visual tools to real programming — build custom AI apps for the web.
- Tool schema design & communication protocols — how AI talks to software
- Web fundamentals — HTML, CSS and JavaScript
- Building an AI chat interface from scratch
- Secure APIs and backend frameworks
- Third-party integrations — plugging outside services into your app
Career day:Personal portfolio website, online branding, technical blog writing
Ship:Capstone 2 — Sentiment analysis web app
A full website where AI reads text — like customer reviews — and tells you whether people are happy or upset.
M3
Month 03 / 06
Weeks 9–12
Deep Dive — Reasoning & Knowledge Retrieval
Teach AI to reason step by step and to answer from your own documents, not just the internet.
- ReAct & Tree-of-Thought — how agents reason before they act
- Vector databases — the technology behind “search by meaning”
- Similarity search — finding the right information instantly
- Native agent APIs — conversation threads and tools
- RAG — connecting AI to private documents so it answers accurately
Career day:Searching & sorting algorithms, Big-O basics, mock whiteboard interviews
Ship:Capstone 3 — “Chat with Documents” RAG agent
An assistant that reads a pile of documents — contracts, manuals, reports — and answers questions about them in plain language.
M4
Month 04 / 06
Weeks 13–16
Frameworks & Orchestration Patterns
Go beyond one agent — coordinate teams of AI agents that divide work and check each other.
- The agent framework landscape — LangGraph vs enterprise stacks
- State management & persistence — agents that remember
- Thread orchestration — many conversations, one system
- Agentic search tools & multi-answer processing
- Designing reliable multi-agent workflows
Career day:Graph algorithms, behavioural interview practice, live coding rounds
Ship:Capstone 4 — Multi-agent research system
A team of AI agents that split up a research task, gather findings and combine them into one polished report.
M5
Month 05 / 06
Weeks 17–20
Professional AgentOps & Governance
Learn what companies actually pay for — running AI agents safely and reliably in production.
- Observability & tracing — knowing exactly what your agent did and why
- Cost tracking — keeping AI spending under control
- Security — defending against prompt injection and tool misuse
- Human-in-the-loop workflows — AI acts, a human approves
- Approval systems for enterprise-grade safety
Career day:System design basics, OOP, mock technical interviews, debugging under pressure
Ship:Capstone 5 — Enterprise Data Analyst (human-approved)
A business analyst agent that crunches company data but always waits for a human sign-off before acting — the way enterprises demand.
M6
Month 06 / 06
Weeks 21–24
Grand Finale — Major Team Project
Build one production-grade project as a team, present it at Demo Day and launch the job hunt.
- Team project proposal — a Deep Research Agent or AI Newsletter system
- Sprint 1: backend reasoning and knowledge storage
- Sprint 2: multi-agent coordination and the front-end
- Cost optimisation and final polish
- Demo Day — present your work, claim your credentials
Career day:Job-search strategy, resume optimisation, company-specific prep, 100+ recruiter intros
Ship:Capstone 6 — Team production project + Demo Day
A real product built the way software teams build — in sprints, with roles — and presented live to an audience on Demo Day.
Every capstone goes to GitHub with a professional README — by graduation, the portfolio is the resume.
Eligibility
/who can join?
No computer-science degree required. If you can write basic Python or JavaScript and commit to four days a week in person, you qualify to apply.
BTech graduates & dropouts
Any branch — you don't need a computer-science degree to start.
Class 12th passed
With basic programming exposure. Month 1 starts gently with no-code tools and Python basics.
Working professionals
Upskilling into AI from testing, support, non-IT or traditional development roles.
Tier 2/3 city talent
The program is 100% in person in Kochi — built for serious learners, wherever they're from.
What you need to bring
- A laptop with at least 8 GB RAM
- Stable internet (10 Mbps or better)
- Free accounts on GitHub and cloud platforms — we help you set these up
- Basic Python or JavaScript familiarity
Meet your mentors
/the people in the room with you
Every mentor builds or deploys agentic systems for a living. Four days a week, they're in the room — reviewing your code, unblocking your capstones and coaching you toward the offer.
AB01
Aniz B N
CTO, Dialgen.AI · Faculty, Cohort 01
Builds and deploys multi-agent systems in production. Leads the agent orchestration track.
Multi-agentOrchestration
FP02
Fahad P N
Co-founder & CFO, SoftServedWeb
Brings the build-and-business lens — how agentic products actually ship and pay off. Mentors students on turning projects into real outcomes.
ProductOutcomes
NF03
Norlabs Faculty
Practitioners · Kochi
A rotating bench of engineers shipping RAG, automation, and fine-tuning work for real teams.
RAGAutomation
CP04
Career & Placement
Interview prep · Recruiter network
Runs Friday mocks, resume teardowns, and 100+ recruiter introductions across the industry.
InterviewsPlacements
After the course
/career outcomes
The program trains for four specific job titles — and the salary ladder below shows how those roles grow over a career, from first offer to senior specialist.
AI Engineer
Builds AI-powered features inside product and engineering teams — the broadest, most in-demand title.
Agent Developer
Designs autonomous AI agents that research, analyse and act — the fastest-growing specialisation of 2026.
RAG Specialist
Connects AI to a company's private knowledge so it answers accurately — every enterprise needs this.
AI Automation Specialist
Automates business workflows end to end — in demand at every mid-size company, not just tech firms.
Step 1 · Fresher
₹3–10 LPA
First role after the program, with six shipped projects as proof of skill.
Step 2 · 2–5 years
₹12–20 LPA
With real production experience, AI engineers out-earn most software peers.
Step 3 · Senior
₹30–55+ LPA
Senior agentic specialists at product companies, GCCs and remote global teams.
Top recruiters for these roles:InfosysTCSWiproMicrosoftGoogleZohoAI-first startups
Certification & support
/what you walk away with
You'll graduate with
- Agentic AI Developer Certificate
- LinkedIn Skills Badge
- A 6-project GitHub portfolio with professional READMEs
- Lifetime access to all course material
- 1:1 mentorship throughout the program
Career services, built in
- Mock interviews — technical and behavioural
- Resume reviews and teardowns
- GitHub portfolio optimisation
- Company-specific interview preparation
- Live debugging practice under pressure
- 100+ recruiter introductions in the final month
Why us
/why choose NorLabs.ai?
Live & in-person in Kochi
Four days a week, five hours a day, on campus at MG Road. No recorded lectures — you build alongside mentors in the room.
Mentors who ship
Every mentor deploys agentic systems in production for a living. You learn the way real teams work, not from last year's slides.
Six capstones, real proof
You graduate with six production-grade projects on GitHub — evidence recruiters actually open, not just a certificate.
Career prep every single week
One day a week, all 24 weeks: coding fundamentals, mock interviews, resume work and portfolio polish — so job readiness grows with the skills.
A 20-seat cohort
One intake, twenty people. Small enough that mentors know your code and your goals by name.
Built for the 2026 stack
LangGraph, RAG, multi-agent orchestration, AgentOps, human-in-the-loop governance — the curriculum tracks what companies deploy now, not what was hot in 2023.
Ready to become an Agentic AI Developer?
Cohort 01 is capped at 20 seats. Applications are reviewed on a rolling basis — parents are welcome at the campus walkthrough.