Introduction to AI Agents – Smarter Automation, Real Results
- Created By shambhvi
- Posted on April 8th, 2025
- Overview
- Prerequisites
- Audience
- Curriculum
Description:
This session offers a foundational dive into AI Agents—autonomous systems that perceive, decide, and act to achieve goals with minimal human input. Participants will explore what makes an AI Agent different from traditional automation, and how these agents are shaping the future of productivity, workflows, and problem-solving. From task bots to research assistants and code generators, this hands-on session showcases real-world agent use cases across industries. Attendees will gain the knowledge and tools to begin experimenting with AI Agents in personal and professional settings.
Duration: 90 min
Course Code: BDT480
Learning Objectives:
By the end of this session, participants will be able to:
- Define what an AI Agent is and how it functions in modern systems
- Distinguish between chatbots, LLMs, and autonomous AI Agents
- Identify common agent frameworks (e.g., AutoGPT, BabyAGI, CrewAI, LangGraph)
- Apply a simple AI Agent to automate or assist with a task
- Basic understanding of Artificial Intelligence or LLMs (Large Language Models)
- No prior programming or automation experience required
Professionals exploring intelligent workflow automation
Tech enthusiasts curious about AI-powered agents and autonomy
Students and educators interested in AI applications and innovation
Course Outline:
- What Are AI Agents? – Concepts, History, and Current Trends
- How Agents Work: Perception, Reasoning, and Action Loops
- Key Frameworks and Tools: AutoGPT, LangChain, CrewAI, LangGraph
- Demo Examples: Task Execution, Research Agent, and Code Assistant
- Hands-On: Try Out a Pre-built Agent (e.g., Research Bot or Content Generator)
- Discussion: Real-World Use Cases and Future of Autonomous AI
- Live Q&A and Demonstration
Training material provided: Yes (Digital format)