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Foundations · Weeks 1–6
Build agentic AI systems, then take them to production. In person, practitioner-led, ending in a Demo Day with hiring companies.
No lecture hall. Real BuildrLabs sessions at Hatch Works, September 2026: you build, and a mentor sits down next to you when you are stuck.
For people who want to build production AI systems, not just use them. You start where your skills already are.
Tired of “experience required”? Leave with a portfolio that proves you can build, and a Demo Day in front of companies.
Get into AI before your peers start their degrees, and enter university or work already ahead.
Done using AI tools and ready to build them: agents, systems and production infrastructure.
Begin with Python and build up. No prior AI experience needed.
Next intake to be announcedAlready code? Pass the Week 1 assessment and start at LLM Fundamentals.
Within FoundationsCompleted Foundations, or pass the placement assessment to show you can already build a working agent.
Enrolling now · starts Nov 2026A technical programme. Working knowledge of Python or JavaScript is required from week one. Not writing code? The Applied AI Bootcamp is built for you.
Two bootcamps take an agent from your laptop to a live, monitored, multi-cloud system. Tap any tool for its guide.
Same core modules. You specialise in how you apply them.
LLM applications end to end: RAG, LangGraph agents, Kubernetes, observability.
CrewAI agent teams and MCP servers that replace manual processes.
Prototype to production on AWS, GCP or Azure with CI/CD and Terraform.
Practitioners who build AI systems in production every day.
How this agentic AI course in Sri Lanka stacks up against the alternatives.
| Criteria | BuildrLabs | University degree | Online course | Short certificate | Self-study |
|---|---|---|---|---|---|
| Duration | ✓ 3 + 3 months |
~ 3–4 years |
~ Self-paced |
~ 3–12 months |
— Indefinite |
| Taught by practitioners | ✓ Working professionals |
— Academic faculty |
~ Varies widely |
— Mostly academics |
— No instructor |
| Real projects deployed | ✓ 2 production systems |
~ Rarely deployed |
— Exercises only |
— Case studies |
— Self-directed |
| Cohort accountability | ✓ 30 peers, weekly deadlines |
✓ Structured semesters |
— Alone, no deadlines |
~ Loose cohorts |
— None |
| Portfolio on graduation | ✓ GitHub + live demo |
~ If you build one |
— Certificate only |
— Certificate only |
~ If you build one |
| Hiring pathway | ✓ Demo Day with hiring companies |
~ Career services |
— None |
— None |
— None |
Each bootcamp stands on its own; enrol in both up front and save LKR 40,000. Instalment options available. Reach out for more information, or email sales@buildrlabs.ai for corporate invoicing.
3 months · next intake to be announced
Excl. VAT & SSCL
Build and ship real agentic AI applications. The August 2026 cohort is under way.
Get notified6 months · both bootcamps · save LKR 40,000
Excl. VAT & SSCL
Foundations + Advanced, enrolled together. Opens with the next Foundations intake.
Get notified3 months · starts November 2026
Excl. VAT & SSCL
Take your agents to production. Ends with Demo Day.
Enrol now · Nov 2026Two stackable, in-person bootcamps. Foundations gets you building agentic AI applications: LLMs and prompting, RAG, agentic workflows, MCP and context engineering, and evaluation. Advanced takes those systems to production: containers, Kubernetes, CI/CD, infrastructure as code, multi-cloud and observability, ending with Demo Day in front of hiring companies. Each bootcamp stands on its own. Enrol in both up front (the Full Pathway) and you save LKR 40,000.
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, the Applied AI Bootcamp is the better fit.
Yes. For the Foundations Bootcamp, basic Python or JavaScript is enough. If you are not there yet, free intro courses on Codecademy or freeCodeCamp work, and we will help you map a prep plan: WhatsApp +94 76 925 6780 or email sales@buildrlabs.ai. If you want an AI programme that does not require coding, see the Applied AI Bootcamp.
Yes, if you already build with LLMs. The Advanced Bootcamp assumes you have completed Foundations or have equivalent agentic-AI experience; strong engineers join directly by passing a placement assessment that shows they can build a working agent. Advanced is the intake enrolling now, starting November 2026.
The next intake is the Advanced Bootcamp, starting November 2026. The August 2026 Foundations cohort is under way, and the next Foundations intake will be announced. Both run in person over three months on Saturdays, 2.30pm to 6.30pm, at Hatch Works, Colombo, plus 6 to 8 hours of weekly self-study and project work: around 10 to 12 hours a week in total. Confirmed Saturday dates are shared with you before your cohort begins.
LKR 120,000 per bootcamp, or LKR 200,000 for both (the Full Pathway, saving LKR 40,000). Instalment options available. Reach out for more information. Corporate invoicing is available for employer-sponsored students: email sales@buildrlabs.ai. All prices are exclusive of VAT and SSCL.
Yes. Every graduate receives a uniquely numbered Certificate of Completion for each bootcamp, signed by Isuru Alagiyawanna (Head of Curriculum) and verifiable at buildrlabs.ai. It is recognised across the HatchWorks partner network and ready to share on LinkedIn.
Jobs are not guaranteed. The Priority Placement Pathway is a structured ramp to Demo Day at the end of the Advanced Bootcamp, where you present your production project to our partner companies who are actively hiring. You get priority access to those partners plus coaching to convert. Eligibility: 80% attendance, all assignments and all projects completed.
Full refund if you withdraw by the end of Day 1 of your bootcamp, no questions asked. After Day 1, all payments are non-refundable.
Laptop to production in 24 weeks, six real projects. Open any week for topics and outcomes.
From Python foundations to building production-quality agents. You finish having built and shipped a real agentic application.
A working LLM application built on the fundamentals: clean prompts, structured outputs, and the right model for the job.
A solo agent that grounds its answers in your own documents and acts through tools: a full RAG-plus-tools build.
In teams of three, build a production-quality agent: 4+ tools, RAG over 100+ documents, a custom MCP server, dual-memory, validation and an evaluation suite. Your exit artifact and gateway to the Advanced Bootcamp.
Take agents from laptop to production: containerised, orchestrated and monitored across clouds. You finish with a live production system and present it on Demo Day.
Containerise an agent, push it to a registry, and deploy it to Kubernetes with autoscaling and self-healing.
A full CI/CD pipeline that provisions cloud infrastructure with Terraform and ships an agent to a managed cloud service.
In teams of three, ship a live multi-cloud system: Kubernetes manifests, Terraform, a CI/CD pipeline, a Grafana dashboard with alerts and a live URL. Industry placement matching begins on Demo Day.
Each bootcamp runs three projects: two individual builds, then a three-person group capstone. Six projects across the full pathway.
Ollama
LangChain
LangGraph
Model Context Protocol
FastMCP
Pydantic AI
Docker
GitHub Actions
ArgoCD
AWS
Google Cloud
Microsoft Azure
Prometheus
OpenTelemetry