October 2026 intake now open

Become a Certified Agentic AI Engineer in 6 months

Build, deploy, and orchestrate autonomous AI agents. CAAE is the definitive project-driven masterclass covering LLMs, Spring AI, Model Context Protocol (MCP), Single-Agent and Multi-Agent Systems.

Single-Agent & Multi-Agent Architecture (ReAct, A2A Protocol)
Model Context Protocol (MCP) & Spring AI Integration
Online or Panadura Campus (Sundays 8:30 AM – 5:00 PM)
Limited Seats AvailableProgram Start: 4 Oct 2026
Apply for October 2026
CAAE LogoOctober 2026
Certified Agentic AI Engineer
Institute of Software Engineering (IJSE)
Seats filling fastOctober 2026 Intake
LKR 70,00090,000
Save LKR 20,000 with One-Time Payment
Or pay in 3 installments of LKR 30k + 20k + 20k (Total LKR 90,000)
  • 5 Production Agentic AI Phases
  • Single & Multi-Agent Architecture
  • Model Context Protocol (MCP) & Spring AI
  • Online & On-Campus Panadura modes
  • Real Agentic Portfolio Projects
  • IJSE CAAE Certification
Apply for October 2026
Panadura Branch & Online · Sundays 8:30 AM – 5:00 PM
Program Start 4 October 2026
Who should enroll

Built for Agentic AI Builders,
not just prompt users.

CAAE is crafted for engineers and innovators ready to build autonomous systems that plan, execute, use tools, and collaborate.

Software Engineers & Developers
Level up from traditional application logic to autonomous Agentic systems. Add intelligence, reasoning loops, tools, and Model Context Protocol (MCP) to your stack.
AI & Data Engineers
Expand beyond baseline RAG and model fine-tuning. Master multi-agent orchestration, supervisor patterns, memory management, and A2A protocols for production.
Solutions Architects & Tech Leads
Design resilient multi-agent platforms for enterprise automation. Implement human-in-the-loop (HITL) approvals, guardrails, and fault isolation.
Ambitious Tech Learners
Future-proof your career in the fastest-growing discipline in computer science. Build production-grade single and multi-agent apps with mentorship from IJSE.
Program Curriculum

5 Phases. Full Agentic Mastery.

From LLM foundations to autonomous single-agent systems and multi-agent orchestration. A rigorous, hands-on path designed to take you from foundational AI concepts to engineering production-grade Agentic AI platforms.

Each phase combines deep theory with practical code labs, culminating in a complete production application deployment.

1Foundations & GenAI Assistants → Model Context Protocol (MCP)
2Single-Agent ReAct & HITL → Multi-Agent A2A Protocol
Build & deploy 2 full production agent applications
Module Topics & Technical Breakdown
•Artificial Intelligence, Machine Learning, and Deep Learning
•Neural Networks and Deep Learning Fundamentals
•Transformer Architecture and Large Language Models
•Tokens, Tokenization, Embeddings, Parameters, and Context Windows
•Model Training, Fine-Tuning, Inference, and Generation
•Hallucinations, Limitations, and Responsible AI
•Proprietary, Open-Weight, and Locally Hosted Models
Program Capabilities

What makes CAAE unrivaled.

Model Context Protocol (MCP)
Master standardized MCP servers and clients to connect AI models with local databases, tools, APIs, and enterprise applications seamlessly.
Single-Agent & ReAct Patterns
Implement Goal Decomposition, Reasoning & Acting (ReAct), Plan-and-Execute, working memory, and Human-In-The-Loop (HITL) interventions.
Multi-Agent Orchestration & A2A
Architect supervisor/router patterns, peer-to-peer delegation, A2A protocol, and consensus algorithms for complex multi-agent workflows.
Spring AI & Advanced RAG
Build enterprise AI assistants and Retrieval-Augmented Generation systems using Spring AI, vector databases, and schema-structured outputs.
Safety, Guardrails & Observability
Incorporate guardrails, human oversight, logging, tracing, evaluation metrics, and fault isolation so agents run safely in production.
2 Full Production Projects
Graduate with a portfolio featuring a complete deployed Single-Agent application and a collaborative Multi-Agent enterprise platform.
Schedule & Program Overview

Designed for working professionals.

Full-day Sunday classes enable software engineers and tech leaders to master Agentic AI without interrupting their full-time careers.

0Months
Full Program Duration
Six months of structured Agentic AI training from LLM foundations to multi-agent production systems.
0Sessions
Sundays 8:30 AM – 5:00 PM
Full-day Sunday sessions designed specifically for full-time working software engineers and leaders.
0Modes
Online & On-Campus
Attend physically at IJSE Panadura Campus or join live online from anywhere in Sri Lanka or overseas.
0Phases
Agentic Curriculum
Deep dive into LLMs, GenAI/RAG, Agentic Frameworks, Single-Agent Tools, and Multi-Agent Orchestration.

Payment Plan Options

Choose between upfront savings or a flexible 3-month installment schedule.

SAVE LKR 20,000
PAYMENT PLAN 1 — ONE-TIME
LKR 70,000LKR 90,000

Pay in full upon enrollment to unlock a LKR 20,000 instant discount on your total tuition.

Registration Fee:LKR 20,000
Course Fee:LKR 50,000 70,000
PAYMENT PLAN 3 — INSTALLMENTS
LKR 90,000(Total in 3 Steps)

Spread your investment comfortably across 3 monthly installments over the first half of the program.

• Registration Fee:LKR 20,000
• 1st Installment (4-Oct):LKR 30,000
• 2nd Installment (4-Nov):LKR 20,000
• 3rd Installment (4-Dec):LKR 20,000
Career outcomes

Roles you will be qualified for.

Agentic AI is the highest-value skill set in AI engineering today. CAAE gives you hands-on proof of mastery with production-ready agent applications.

01

Agentic AI Engineer

Design, build, and deploy autonomous single and multi-agent systems using state-of-the-art frameworks.

02

Multi-Agent Systems Architect

Architect supervisor, router, hierarchical, and peer-to-peer agent networks using A2A protocol.

03

Model Context Protocol (MCP) Specialist

Engineer standardized MCP servers and integrations connecting LLMs to enterprise databases and microservices.

04

AI Automation & Workflow Engineer

Automate complex business processes using reasoning loops, ReAct patterns, and Human-in-the-Loop (HITL) safeguards.

05

Spring AI & Enterprise LLM Developer

Build enterprise-grade AI assistants and RAG systems integrated into Spring Boot and cloud infrastructure.

06

AI Safety & Guardrails Architect

Implement evaluation metrics, safety guardrails, state tracing, and resilience against failure propagation.

Technology stack

The stack of Agentic AI Engineering.

Master the protocols, frameworks, and tools defining the next generation of autonomous software systems.

Model Context Protocol (MCP)
Spring AI
A2A Protocol
LangGraph
ReAct & ReWOO
Vector DBs (Chroma/Qdrant)
LLM Embeddings
Ollama / Local LLMs
OpenAI / Claude / Llama 3
Single-Agent Architecture
Multi-Agent Networks
Supervisor & Router Patterns
Human-in-the-Loop (HITL)
Guardrails & Safety
Agent State Tracing
Structured Outputs (JSON Schema)
Retrieval-Augmented Generation (RAG)
Docker & Containerization
FAQ

Frequently Asked Questions.

CAAE (Certified Agentic AI Engineer) is a six-month intensive engineering program from IJSE that teaches you to build, train, orchestrate, and deploy autonomous single-agent and multi-agent AI systems — covering LLM foundations, Model Context Protocol (MCP), ReAct execution patterns, Spring AI, and production observability.
Apply - October 2026 Intake

Your Agentic AI engineering journey starts here.

Complete this form to apply for the October 2026 intake of CAAE — Certified Agentic AI Engineer. Our admissions team will contact you on WhatsApp within 24 hours.

  • 6-month intensive covering single & multi-agent systems, Spring AI, and Model Context Protocol
  • Flexible learning modes: Online & IJSE Panadura Campus
  • Program Start: 4 October 2026
  • Save LKR 20,000 with Payment Plan 1 (LKR 70,000 One-Time Fee)
  • Flexible 3-installment plan available (LKR 90,000 Total)
Contact Admissions Directly
WhatsApp: 0711 202 202

Apply for CAAE October 2026 Intake

Fill in your details below to reserve your seat for the October intake.