16-Week Agentic AI Bootcamp · Cohort 1 · May 16, 2026

From LLM Fundamentals to Production AI. In 16 Weeks.

Real projects, practitioner-led instruction, and a direct pathway into the industry through our partner network. You graduate with two deployed systems, a GitHub portfolio, and a Demo Day presentation in front of the companies that are hiring.

Apply Now
Duration
16 weeks · Starts May 2026
Schedule
Saturdays 9am – 1pm
Location
In-person · Hatch Works, Colombo
Cohort
Limited seats
Backed by our partner ecosystem
HatchWorks
Spectrify AI
Veracity Group
Vector Agents
Loops Integrated
Anton
Orion Stellar
HatchWorks
Spectrify AI
Veracity Group
Vector Agents
Loops Integrated
Anton
Orion Stellar

Ready To Build Your Future?

Practitioner-led

Every instructor has shipped AI in production. Not academics, not career trainers — people doing this work right now.

Two deployed systems

A solo agentic app at Week 8 and a production multi-agent system at Week 16. Both live. Both yours.

Cohort accountability

You learn alongside a focused cohort of peers, not alone in an LMS. Deadlines are real. Progress is visible.

Demo Day placement pipeline

Week 16 ends with Demo Day in front of our partner companies. Your Priority Placement Pathway starts there.

Build your future

How BuildrLabs Compares

A side-by-side look at how this programme stacks up against the alternatives.

BuildrLabs University degree Online course Short certificate Self-study
Duration
16 weeks
~
3–4 years
~
Ongoing / self-paced
~
3–12 months
Indefinite
Taught by industry practitioners
Working professionals
Academic faculty
~
Varies widely
Mostly academics
No instructor
Real projects built & deployed
2 production systems
~
Assignments, rarely deployed
Exercises only
Case studies
Self-directed
Cohort accountability
40 peers, weekly deadlines
Structured semesters
Alone, no deadlines
~
Loose cohorts
None
Completion rate
High
Structure drives you to finish
~
High, but years-long
Long commitment before outcomes
Very low
90%+ dropout rate
~
Variable
Depends on format
Very low
Most never finish
Portfolio on graduation
GitHub + live demo
~
If you build one yourself
Certificate only
Certificate only
~
If you build one yourself
Internship / hiring pathway
Demo Day — present live to hiring companies
~
Career services, no guarantee
None
None
None
Included  ·  ~ Partial  ·  — Not available

This Is For You If…

You’re a fresh graduate

You’re a fresh graduate

You have a degree, but you keep hitting “experience required.” Or you want real skills before you start applying. This programme gives you a portfolio that proves you can build — and a Demo Day that puts you in front of companies who want to see it.

You’ve just finished A-Levels

You’ve just finished A-Levels

You want to get into AI before your peers even start their degrees. Build real skills now and enter university — or the workforce — already ahead.

You’re making a career transition

You’re making a career transition

You’re done using AI tools. You want to build them. You have some coding background and you’re ready to go deep: agents, systems, production infrastructure. Not a shortcut. The real thing.

One thing to know — this is a technical programme. Working knowledge of Python or JavaScript is required to keep up from week one.

What You’ll Build

Capstone 1 Week 8 · Solo project

End-to-end Agentic App

  • 4+ integrated tools
  • RAG over 100+ documents
  • Custom MCP server
  • Dual memory architecture
  • Dockerised and deployed
Deliverable
GitHub repo + live demo + blog post
Capstone 2 Week 16 · Team project

Production Multi-Agent System

  • Kubernetes orchestration
  • Terraform infrastructure as code
  • CI/CD pipeline
  • Grafana observability dashboard
  • Multi-cloud deployment with live URL
Deliverable
Presented on Demo Day to our partner companies

Three Tracks. One Core Programme.

All three tracks share the same core modules. The specialisation is in how you apply what you build.

Track 01

AI Engineer

Build and deploy LLM-powered applications end to end — from prompt engineering to production infrastructure.

  • Design RAG pipelines with vector databases
  • Build multi-agent systems with LangGraph
  • Deploy containerised AI services on Kubernetes
  • Implement observability for LLM applications
LangGraph RAG Docker Kubernetes AWS
Track 02

Automation Engineer

Design multi-agent workflows that replace manual processes and scale intelligently.

  • Architect CrewAI agent teams
  • Build MCP servers for tool integration
  • Design context-aware automation pipelines
  • Implement failure handling and retry logic
CrewAI MCP FastMCP Cloud CI/CD Pydantic
Track 03

AI Product Builder

Ship AI products from prototype to production with cloud-native infrastructure.

  • Deploy on AWS, GCP, or Azure
  • Set up CI/CD with GitHub Actions and ArgoCD
  • Build monitoring dashboards with Grafana
  • Manage infrastructure as code with Terraform
AWS GCP Terraform ArgoCD Grafana

Full Curriculum

8 modules. 16 weeks. The complete AI engineering lifecycle.

01 Week 1–2 LLM Fundamentals & Advanced Prompting
02 Week 3–4 RAG Systems
03 Week 5–6 Agentic Workflows & Multi-Agent Systems
04 Week 7–8 MCP & Context Engineering
05 Week 9–10 Docker & Containerisation
06 Week 11 Kubernetes Orchestration
07 Week 12 Cloud Platforms & CI/CD
08 Week 13–14 Observability

Tools You’ll Learn

The actual production stack, organized by curriculum module. Click any tool for a full guide on what it is, how it fits, and when to reach for it.

Meet Your Instructors

Practitioners who build AI systems in production every day.

Isuru Alagiyawanna

Isuru Alagiyawanna

Lead AI Instructor
  • Head of Curriculum — BuildrLabs
  • Head of AI Engineering — Veracity
  • Founder — Zuu Crew AI
Nimesha Jinarajadasa

Nimesha Jinarajadasa

DevOps & Infrastructure Instructor
  • DevOps Solutions Architect — KodeKloud
  • CNCF Kubernetes Sri Lanka Chapter Lead
  • Founder — CoDeKu Labs

One Investment. Everything You Need To Get Hired.

Agentic AI Bootcamp
LKR 150,000

Flexible payment plans available. Corporate invoicing for employer-sponsored students. Contact sales@buildrlabs.ai.

Reserve Your Seat
  • 16 weeks of practitioner-led instruction
  • Saturday sessions, 9am to 1pm
  • In-person at Hatch Works, Colombo
  • Capstone 1: end-to-end agentic app (Week 8)
  • Capstone 2: production multi-agent system (Week 16)
  • GitHub portfolio of all project work
  • Demo Day presentation to our partner companies
  • Priority Placement Pathway eligibility
  • Community access for all graduates

Your Questions. Straight Answers.

How is the Agentic AI Bootcamp different from an online course? +

You show up in person, work alongside a cohort, and ship two real production systems by the end. Online courses give you content. The Agentic AI Bootcamp gives you a portfolio, instructor connections, and a Demo Day in front of hiring companies.

Who is the Agentic AI Bootcamp for? +

People who want to build production AI systems, not just use them. Fresh graduates, A-level students, career-changers, and working developers who want to specialise in agentic AI. If you want to apply AI in a non-technical role rather than build it, our Applied AI Bootcamp is the better fit.

What are the career pathways after the Agentic AI Bootcamp? +

Three tracks share the same core 16-week curriculum: AI Engineer (build and deploy LLM-powered apps), Automation Engineer (design multi-agent workflows), and AI Product Builder (ship AI products on cloud infrastructure). You specialise through your Capstone 2 project in the back half.

I've never coded in my life / no IT background — can I enrol in the Agentic AI Bootcamp? +

Coding experience is required for this bootcamp — basic Python or JavaScript is enough. If you don't have it yet, learn the basics before Cohort 1 starts on May 16, 2026 (free intro courses on Codecademy or freeCodeCamp work). WhatsApp +94 76 925 6780 or email sales@buildrlabs.ai and we'll help you map a prep plan. (If you want an AI programme that doesn't require coding, see the Applied AI Bootcamp.)

I do coding for a living and have shipped multiple deployments — will the Agentic AI Bootcamp improve my skills? +

The Agentic AI Bootcamp moves you up the AI stack rather than re-teaching what you already know. The first weeks (LLMs, prompt engineering, RAG) give formal grounding for things experienced devs pick up ad-hoc. The back half — LangGraph, CrewAI, MCP servers, dual-memory architectures, production observability for LLM apps — is genuinely new territory for most working engineers.

How much time per week does the Agentic AI Bootcamp require? +

4 hours in-person on Saturdays (9am–1pm) at Hatch Works, Colombo, plus 6–8 hours of weekly self-study and project work. Intensive by design. Total: ~10–12 hours per week over 16 weeks.

What is the Priority Placement Pathway? +

A structured ramp to Demo Day — the final session of the Agentic AI Bootcamp where you present your production project to our partner companies who are actively hiring. Includes priority access to those partners plus coaching to convert. Eligibility: 80% attendance, all assignments, all projects completed.

Are jobs guaranteed at the end of the Agentic AI Bootcamp? +

No. What we guarantee is your place in front of hiring decision-makers at Demo Day, plus the preparation to convert. Eligibility: 80% attendance, all assignments, all projects completed.

What's the refund policy for the Agentic AI Bootcamp? +

Full refund if you withdraw by the end of Day 1 of Cohort 1, no questions asked. After Day 1, all payments are non-refundable.

What happens after the Agentic AI Bootcamp ends? +

Week 16 ends with Demo Day. Eligible students enter the Priority Placement Pathway — priority introductions to our partner companies, interview prep, and placement coaching. Community access is included for all graduates.

Is corporate invoicing available for the Agentic AI Bootcamp? +

Yes — for employer-sponsored students. Email sales@buildrlabs.ai to arrange.

Ready To Build Your Future?

Limited seats for Cohort 1. Early-bird pricing ends soon.

Apply — May 2026