Programme Overview | BuildrLabs 16-Week AI Bootcamp

Career Tracks

Choose your focus. All three share the same core modules.

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 K8s 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 MCPs 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 & ArgoCD
Build monitoring dashboards with Grafana
Manage infrastructure as code with Terraform

AWS GCP Terraform ArgoCD Grafana

Full Curriculum

8 modules covering the complete AI engineering lifecycle.

Wk 1–2

LLM Fundamentals & Advanced Prompting

Transformer architecture token economics sampling few-shot CoT ReAct Claude API Ollama Groq

Wk 3–4

RAG Systems

Pinecone Weaviate Qdrant chunking strategies reranking RAGAS evaluation

Wk 5–6

Agentic Workflows & Multi-Agent Systems

LangGraph CrewAI tool use supervisory routing failure handling LangSmith

Wk 7–8

MCP & Context Engineering

MCP servers context budgeting dual memory prompt hardening Pydantic v2

Wk 9–10

Docker & Containerisation

Dockerfiles multi-stage builds image security registries Docker Compose

Wk 11

Kubernetes Orchestration

Pods Deployments Services HPA health probes rolling updates

Wk 12

Cloud Platforms & CI/CD

AWS EKS GCP GKE Azure AKS GitHub Actions ArgoCD Terraform

Wk 13–14

Observability

Prometheus Grafana OpenTelemetry Jaeger ELK custom LLM metrics

Meet Your Instructors

Learn from practitioners who build AI systems in production every day.

Nimesha Jinarajadasa

Instructor

DevOps Solutions Architect — KodeKloud, Singapore
Founder — CoDeKu Labs
CNCF Kubernetes Sri Lanka Chapter Lead

Isuru Alagiyawanna