Agentic AI Pathway · Foundations + Advanced · From August 2026

Agentic AI Course For Shipping Production AI Systems

One pathway, two stackable bootcamps. Foundations starts at Python and builds up to real agentic systems, while Advanced takes them into production. Both are in person and practitioner-led, ending in a Demo Day with hiring companies.

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Structure
2 bootcamps · 3 months each
Schedule
Sundays 9am – 1pm
Location
In-person · Hatch Works, Colombo
Starts
Foundations Aug · Advanced Nov 2026
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 live agentic application in the Foundations Bootcamp, then a production multi-agent system in the Advanced Bootcamp. 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

The Advanced Bootcamp 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 agentic AI course in Sri Lanka stacks up against the alternatives.

BuildrLabs University degree Online course Short certificate Self-study
Duration
3 + 3 months
~
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 Foundations Bootcamp · 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 Advanced Bootcamp · 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

The Pathway: Two Bootcamps

Laptop to production in 24 weeks. Enter where your skills are, build six real projects, and finish in front of the companies that are hiring.

Enter 01
Start at Python
New to AI or coding? Begin at the very start.
Enter 02
Test out of Python
Already code? Skip the ramp, start at LLMs.
Enter 03
Place into Advanced
Strong engineers can join Bootcamp 2 directly.
Bootcamp 01 · Aug
Foundations
12 weeks · Isuru
Python LLMs RAG Agents MCP Eval Capstone
Bootcamp 02 · Nov
Advanced
12 weeks · Nimesha
Docker Kubernetes CI/CD IaC Multi-cloud Observability Capstone
Demo Day → Industry placement with our partner companies
Stage 1 · Foundations Bootcamp

Build Agentic AI Applications

3 months · Sundays 9am–1pm · starts August 2026 · LKR 120,000
Led by Isuru Alagiyawanna, Head of Curriculum

From Python foundations to building production-quality agents. You finish having built and shipped a real agentic application.

Week by week
Weeks 1–2
Python & AI Engineering Foundations
Topics Covered
  • Python, async, and REST APIs
  • Git and version control
  • Cursor and Claude Code as your AI dev environment
  • Your first LLM API calls
Learning Outcomes
  • Stand up a working AI engineering environment
  • Write and run your first LLM-powered scripts
  • Test out of the Python weeks if you already code
Weeks 3–4
LLM Fundamentals & Advanced Prompting
Topics Covered
  • Transformer intuition without the math
  • Tokens and sampling
  • Few-shot, chain-of-thought, and ReAct prompting
  • Model selection; local inference with Ollama and Groq
Learning Outcomes
  • Prompt reliably with advanced techniques
  • Choose the right model for a given job
  • Run models locally with Ollama and Groq
Weeks 5–6
Retrieval-Augmented Generation
Topics Covered
  • Vector databases and chunking strategies
  • Reranking and hybrid search
  • RAG evaluation
  • Lab: Large Tabular Models for structured data
Learning Outcomes
  • Build a RAG pipeline over your own documents
  • Improve retrieval with hybrid search and reranking
  • Measure RAG quality with evaluation
Weeks 7–8
Agentic Workflows & Multi-Agent Systems
Topics Covered
  • Agent loops and tool use
  • LangGraph and CrewAI
  • Supervisory orchestration and failure handling
  • Tracing with LangSmith; agent-to-agent communication
Learning Outcomes
  • Build multi-step agents that use tools
  • Orchestrate multiple agents with supervision
  • Trace and debug agent runs with LangSmith
Weeks 9–10
Model Context Protocol & Context Engineering
Topics Covered
  • Build custom MCP servers
  • Budget context windows; compress context
  • Implement dual-memory
  • Harden prompts with Pydantic validation
Learning Outcomes
  • Ship a custom MCP server
  • Engineer and budget context for reliability
  • Validate and harden agent inputs and outputs
Week 11
Evaluation, Safety & Cost Engineering
Topics Covered
  • Eval harnesses and LLM-as-judge
  • Regression testing
  • Prompt-injection defence and PII handling
  • Caching and model routing to cut spend
Learning Outcomes
  • Build an eval harness with LLM-as-judge
  • Defend against prompt injection and protect PII
  • Cut inference cost with caching and routing
What you build
Month 1 · Individual
Prompt-Powered LLM App

A working LLM application built on the fundamentals: clean prompts, structured outputs, and the right model for the job.

Month 2 · Individual
Retrieval Agent

A solo agent that grounds its answers in your own documents and acts through tools: a full RAG-plus-tools build.

Capstone · Month 3 · Group of 3
End-to-End Agent

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.

Stage 2 · Advanced Bootcamp

Ship Production AI Systems

3 months · Sundays 9am–1pm · starts November 2026 · LKR 120,000
Led by Nimesha Jinarajadasa, DevOps & Infrastructure

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.

Week by week
Weeks 1–2
Docker & Containerisation
Topics Covered
  • Dockerfiles and layer caching
  • Multi-stage builds
  • Image security with Trivy; registries and Compose stacks
  • Stateful agent containers tuned for LLM workloads
Learning Outcomes
  • Containerise an agent with a secure, optimised image
  • Run multi-container stacks with Compose
  • Scan images for vulnerabilities with Trivy
Weeks 3–4
Kubernetes Orchestration
Topics Covered
  • Pods, deployments, and services
  • ConfigMaps and Secrets
  • Health probes and rolling updates
  • HPA autoscaling and self-healing
Learning Outcomes
  • Deploy an agent to Kubernetes
  • Configure autoscaling and self-healing
  • Roll out updates with zero downtime
Week 5
CI/CD & GitOps
Topics Covered
  • End-to-end GitHub Actions pipelines
  • GitOps with ArgoCD
  • Environment promotion
  • AI-driven testing and deployment decisions
Learning Outcomes
  • Build a CI/CD pipeline for an agent
  • Promote across environments with GitOps
  • Automate testing and deployment decisions
Week 6
Infrastructure as Code
Topics Covered
  • Terraform fundamentals and reusable modules
  • Provisioning cloud infrastructure
  • Multi-cloud secrets
  • AI-assisted IaC generation
Learning Outcomes
  • Provision cloud infrastructure with Terraform
  • Build reusable IaC modules
  • Manage secrets across clouds
Weeks 7–8
Multi-Cloud AI Platform Services
Topics Covered
  • EKS, GKE, and AKS compared
  • Bedrock, Vertex AI, and Azure OpenAI
  • The same agent across three clouds
  • Blue-green and canary releases; edge fleets
Learning Outcomes
  • Deploy an agent across AWS, GCP, and Azure
  • Release safely with blue-green and canary
  • Use managed AI platform services
Weeks 9–10
Cognitive Observability & Monitoring
Topics Covered
  • Logs, metrics, and traces (Prometheus, Grafana, OTel, ELK)
  • LLM cost and latency dashboards
  • Model drift and hallucination tracking
  • AutoOps self-healing
Learning Outcomes
  • Instrument an agent with full observability
  • Build cost and latency dashboards
  • Track drift and hallucinations in production
Weeks 11–12
Team Capstone & Industry Demo Day
Topics Covered
  • Multi-region deployment across two clouds
  • Autoscaling under 10x load
  • Full observability and zero-downtime deploys
  • A live system presented to industry leads
Learning Outcomes
  • Ship a live multi-cloud production system
  • Demonstrate it to hiring industry leads on Demo Day
  • Begin Priority Placement Pathway matching
What you build
Month 1 · Individual
Agent on Kubernetes

Containerise an agent, push it to a registry, and deploy it to Kubernetes with autoscaling and self-healing.

Month 2 · Individual
Pipeline to Production

A full CI/CD pipeline that provisions cloud infrastructure with Terraform and ships an agent to a managed cloud service.

Capstone · Month 3 · Demo Day
Production-Grade Multi-Agent System

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, and the two capstones are the largest builds by far.

Enter at Your Level

A first-time coder and a senior engineer cannot learn at the same pace in the same room. So you start where your skills already are. There are three ways in.

01

Start at Foundations

Open enrolment into the Foundations Bootcamp. No prior AI experience needed, you begin with Python and build up from there.

New to AI / new to coding
02

Test out of Python

Already code? Pass the Week 1 assessment and skip the Python ramp, starting straight at LLM Fundamentals in the Foundations Bootcamp.

Confident developers
03

Place into Advanced

Strong engineers can enter the Advanced Bootcamp directly by passing the placement assessment, proving you can already build a working agent.

Experienced AI builders
Industry placement matching with our partner companies begins after the Advanced Bootcamp Demo Day. We are accepting applications for both 2026 intakes now: Foundations from August, Advanced from November.

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
Your Credential

Certificate of Completion

Every graduate receives a uniquely-numbered Certificate of Completion, signed by Isuru Alagiyawanna (Head of Curriculum) and verifiable at buildrlabs.ai. Recognised across the HatchWorks partner network and ready to share on LinkedIn the day after Demo Day.

Pick Your Bootcamp. Or Take the Whole Pathway.

Each bootcamp stands on its own. Enrol in both up front and save LKR 40,000. Flexible payment plans available; corporate invoicing for employer-sponsored students — sales@buildrlabs.ai.

Foundations Bootcamp
LKR 120,000
3 months · starts August 2026

Build and ship real agentic AI applications.

Reserve Your Seat
Best value
Full Pathway
LKR 200,000
6 months · both bootcamps · save LKR 40,000

Foundations + Advanced, enrolled together. The complete journey to production AI engineer.

Reserve Your Seat
Advanced Bootcamp
LKR 120,000
3 months · starts November 2026

Take your agents to production. Ends with Demo Day.

Reserve Your Seat
Every enrolment includes
  • Practitioner-led, in-person instruction at Hatch Works, Colombo
  • Sunday sessions, 9am to 1pm
  • A deployed project in every bootcamp
  • GitHub portfolio of all your project work
  • Demo Day presentation to our partner companies (Advanced)
  • Priority Placement Pathway eligibility
  • Certificate of Completion for each bootcamp
  • Community access for all graduates

Your Questions. Straight Answers.

What is the Agentic AI Pathway? +

Two stackable, in-person bootcamps. The Foundations Bootcamp gets you building real agentic AI applications. The Advanced Bootcamp takes those systems to production and ends with Demo Day in front of hiring companies. Take one, or take both and save.

Do I have to take both bootcamps? +

No. Each bootcamp stands on its own. Most people start with the Foundations Bootcamp, then continue to Advanced when they are ready. Enrol in both up front (the Full Pathway) and you save LKR 40,000.

What is the difference between the Foundations and Advanced Bootcamps? +

Foundations is about building: LLMs and prompting, RAG, agentic workflows, MCP and context engineering — you ship a real agentic application. Advanced is about shipping to production: containerisation, cloud and CI/CD, infrastructure as code, and observability — you build a production multi-agent system and present it on Demo Day.

Who is the Agentic AI Pathway 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.

Do I need coding experience? +

For the Foundations Bootcamp, basic Python or JavaScript is enough. The Advanced Bootcamp assumes you have completed Foundations or have equivalent agentic-AI experience. If you are not there yet, you have time before the August 2026 intake — free intro courses on Codecademy or freeCodeCamp work. WhatsApp +94 76 925 6780 or email sales@buildrlabs.ai and we will help you map a prep plan. (If you want an AI programme that does not require coding, see the Applied AI Bootcamp.)

When does each bootcamp start, and what is the schedule? +

The Foundations Bootcamp starts in August 2026 and the Advanced Bootcamp in November 2026. Both run in person on Sundays, 9am to 1pm, at Hatch Works, Colombo, over three months. Confirmed Sunday dates are shared with you directly before your cohort begins.

How much time per week does it require? +

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

What is the Priority Placement Pathway? +

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. Includes priority access to those partners plus coaching to convert. Eligibility: 80% attendance, all assignments, all projects completed.

Are jobs guaranteed? +

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 is the refund policy? +

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.

Is corporate invoicing available? +

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

Ready To Build Your Future?

The Agentic AI Pathway opens with the Foundations Bootcamp in August 2026. Seats are limited.

Apply — Agentic AI Pathway