- Overview
- Prerequisites
- Audience
- Curriculum
Description:
This engaging 90-minute training session introduces participants to the dynamic world of AI Agents, emphasizing their growing role in AI-driven automation. The session explores the transition from traditional chatbots to autonomous agents capable of decision-making, task execution, and adaptation. Participants will gain a practical understanding of the core architectural concepts, including Memory, Cognition, and Planning (MCP) — the essential building blocks of intelligent agent behavior.
Duration: 90 Min
Course Code: BDT403
Learning Objectives:
After this course, you will be able to:
- Define AI Agents and distinguish them from traditional chatbots and narrow AI applications
- Explain the MCP architecture – Memory, Cognition, and Planning – and its relevance to agent intelligence
- Recognize key use cases and current applications of AI Agents across different industries
- Basic computer literacy
- Interest in artificial intelligence
- No coding experience required
• IT professionals
• Developers
• AI/ML enthusiasts
• Students with basic programming knowledge.
Course Outline:
Module 1: Introduction to AI Agents
- What are AI Agents?
- From chatbots to autonomous agents: A historical shift
- Types of Agents: Reactive vs. Planning-based vs. Learning-based
- Why AI Agents now? Market relevance and real-world use cases
Module 2: Core Architecture and MCP Framework
- Agent architecture overview
- Memory: Short-term vs. long-term, embedding-based memory
- Cognition: Reasoning, decision-making, and use of LLMs
- Planning: Task decomposition and goal-oriented execution
- Integrating MCP for adaptive, intelligent behavior
Module 3: AI Agents in Action
- Overview of an open-source agent framework (AutoGen, LangChain, or Assistant API)
- Hands-on demonstration: Simple task automation
- Understanding limitations: Fragility, hallucinations, lack of true autonomy
