Introduction to Agentic AI
& Practical Foundations
Module 1:
Understanding AI & Agentic AI (Non-Technical)
- What is Artificial Intelligence?
- Difference between Traditional AI
vs. Generative AI vs. Agentic AI
- What makes an AI “agentic”?
- Real-world examples: personal
assistants, workflow automation, operations agents, research agents
- Capabilities & limitations of
AI agents
Module 2:
How Agentic AI Works
- LLMs and reasoning (simple
explanation, no technical depth)
- How agents plan, decide, and take
actions
- Understanding tools, memory, and
multi-step tasks
- Agent workflows: perception →
reasoning → action
Module 3:
Hands-On – Using Agentic AI Through No-Code Tools
(All
activities require no programming)
- Exploring AI agent builders (e.g.,
ChatGPT Assistants, no-code agent platforms)
- Creating simple automated workflows
- Using pre-built actions (email
automation, document creation, research tasks)
- Practical activity
Module 4:
Designing Effective Prompts for Agent Behavior
- How to structure instructions
- Writing goal-oriented prompts
- Using system instructions &
guardrails
- Hands-on practice
Module 5:
Ethics, Safety, and Responsible Use
- Bias, accuracy, and hallucination
- Safe automation practices
- When NOT to rely on AI agents
Building, Testing &
Deploying No-Code AI Agents
Module 6:
Multi-Step Agents for Business Use Cases
- What are multi-step (“workflow”)
agents?
- Example workflows:
- Market research automation
- Email + report generation
- Lead qualification agent
- HR onboarding agent
Module 7:
Hands-On – Build Your Own AI Agent
Participants
create their own AI agent end-to-end.
Module 8:
Connecting Agents with Real Data (No-Code Integrations)
- Using file uploads (PDF, Word,
Excel)
- Creating agents that read and
analyze documents
- Using integrations: email,
calendar, CRM systems (conceptual only)
Module 9:
Optimizing Agents for Better Outcomes
- Improving instructions
- Adding structured responses
- Reducing errors
- Testing strategies
Module 10:
Future of Agentic AI – Careers & Opportunities
- Use cases across industries
- Roles emerging due to agentic AI
- How non-technical users can grow in
the AI ecosystem
