Agentic AI Fundamentals Training in Thimphu, Bhutan

This Agentic AI Training Program is designed for beginners and non-technical learners who want to understand and practically apply agent-based AI systems without any programming or machine learning knowledge. Through interactive sessions, real-life demonstrations, and hands-on exercises using no-code tools, participants will learn how modern AI agents think, plan, and automate workflows. The program focuses on practical applications such as task automation, information research, customer support workflows, document processing, and business operations. By the end of the course, learners will be equipped to design, customize, and deploy their own AI agents for personal productivity or workplace use.

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