AI Agent Course in Thrissur
AI Agent Course in Thrissur is designed for students, working professionals, and entrepreneurs who want to build intelligent systems that can think, decide, and act automatically. AI agents are the future of automation, customer support, business workflows, and decision-making systems.
In easy courses, you will learn how to create AI-powered agents using tools like Python, LLM models, APIs, automation frameworks, and real-world business use cases.
What is an AI Agent?
An AI Agent is a software system that:
- Understands user input
- Makes decisions using AI models
- Performs tasks automatically
- Learns and improves over time
Why Choose AI Agent Course in Thrissur?
100% Practical Training
We focus on real-time implementation, not just theory. You will build live AI agents during the course.
Industry Expert Trainers
Learn from professionals who work on real AI automation projects and understand current market demands.
Placement Assistance
We provide complete placement and career support including resume building, portfolio development to help you confidently secure the right opportunity.
Beginner to Advanced Level
No coding background? No problem. We start from basics and gradually move to advanced AI agent development.
Updated Curriculum
Our syllabus is continuously updated with the latest AI tools, automation frameworks, and technology trends.
Personalized Attention
Small batch sizes ensure better mentoring and doubt clearing support.
Complete Course Modules (Detailed Syllabus)
MODULE 1 — AI Agent Fundamentals
• What is an AI Agent?
• Model + Tools + Orchestration + Deployment
• Agentic reasoning loop
• Types of agents: simple, tool-based, multi-agent
• Power of agentic systems
MODULE 2 — Build Your First AI Agent (Gemini + ADK)
• ADK setup & environment configuration
• Gemini model initialization
• Writing system instructions for a basic agent
• Running and testing the agent
MODULE 3 — Agent Architecture & Multi-Agent Systems
• ADK agent architecture
• Provider vs Consumer agents
• Multi-agent system design
• A2A (Agent-to-Agent) communication
• ADK support for multi-agent workflows
MODULE 4 — Agent Tools & Interoperability (MCP + Custom Tools)
• Built-in vs custom tools
• Function calling
• API integration as tools
• Tool input/output schema design
• Error handling & retry strategies
• Reusable & granular tools
• Single-tool vs multi-tool logic
• Debugging & evaluation of tool-enabled agents
MODULE 5 — Context Engineering: Sessions & Memory
• What is a session?
• Conversation history and event flow
• Context assembly for reasoning
• Short-term vs long-term memory
• Integrating Vertex Memory Store
• Memory creation, retrieval & management
• System instructions for personal
• Behaviour rules, tone, ethics & safety
MODULE 6 — Agent Quality, Observability & Evaluation
• Logging, telemetry & traces
• Trajectory evaluation
• Key metrics: latency, cost, reliability
• Debugging with ADK Web UI
• Black-box evaluation
• LLM-as-a-Judge paradigm
• HITL (Human-in-the-loop)
• Implementing safety guardrails
• Improving agent reliability
MODULE 7 — From Prototype to Production (Build & Deploy)
• Product catalog agent development
• Knowledge structuring & retrieval
• Testing catalog Q&A flows
• Packaging agents for deployment
• Creating deployment requests
• Agent Engine setup, testing & execution
• Retrieving deployed agent ID
• Running production-level queries
What Our Students Say
Frequently Asked Questions
1. Is coding required?
Basic understanding of computers is enough. We teach Python from basics.
2. Is AI Agent different from Machine Learning?
Yes. Machine Learning focuses on training models. AI Agents focus on using AI models to perform tasks automatically.
3. Will I get placement support?
Yes, we provide placement assistance and interview preparation.
4. Do I need prior AI knowledge to join this course?
No, prior AI knowledge is not required. We start from the fundamentals and gradually move to advanced AI Agent development, making it suitable for both beginners and professionals.
5. Will I work on real-world AI projects during the course?
Yes, the course includes hands-on training with real-world AI Agent projects so you gain practical experience and build a strong portfolio.