Introduction to AI Agents
What autonomous AI agents are, how they differ from chatbots, and where they are used today.
- Agent Basics
- Use Cases
- Autonomy Levels
SPECIALIZED COURSE · ARTIFICIAL INTELLIGENCE
Fundamentals of Agentic AI Modules.
Understand how autonomous AI agents think, plan and act — from core concepts to building your own simple agents using modern frameworks and tools.
8Core Modules
ProjectBuild a Working Agent
Future-ReadyIn-Demand Skillset
COURSE MODULES
What You Will Learn.
A structured path from core concepts to building your own working AI agent by the end of the course.
LLMs as Reasoning Engines
How large language models plan, reason and make decisions inside an agent system.
- Reasoning
- Planning
- Decision Making
Agent Architectures
Core patterns like ReAct, planning loops and memory systems that power modern agents.
- ReAct Pattern
- Memory
- Planning Loops
Tool Use & Function Calling
Teaching agents to call external tools, APIs and functions to complete real tasks.
- Function Calling
- APIs
- Tool Integration
Multi-Agent Systems
Coordinating multiple specialised agents that collaborate to solve complex problems.
- Orchestration
- Collaboration
- Specialised Agents
Prompt Engineering for Agents
Designing instructions and context that reliably guide agent behaviour.
- Prompt Design
- Context Management
- Reliability
Building Agents with Frameworks
Hands-on practice building simple agents using modern agent-building frameworks.
- Frameworks
- Hands-On Build
- Deployment Basics
Ethics, Safety & Guardrails
Responsible design principles that keep autonomous AI systems safe and controllable.
- Safety Guardrails
- Responsible AI
- Risk Awareness
Ready to understand agentic AI?
Learn how autonomous AI agents actually work — and build one yourself.