🤖 Build AI Agents

Design • Build • Integrate • Automate • Deploy Agentic AI

Overview

Agentic AI represents the next evolution of artificial intelligence —
systems that can reason, decide, and act autonomously to achieve goals.

Build AI Agents is a hands-on program designed to teach you how to design, build, and deploy intelligent agents using no-code and low-code tools.

By the end of this course, you will have built:

✅ Multiple functional AI agents
✅ Agents with memory and tools
✅ Agents connected to real data
✅ Multi-agent workflows
✅ Automated business processes
✅ A final production-style agent prototype

This course focuses on real-world applications, not theory only.

You will learn how to design agents that can:

automate workflows
interact with data
collaborate with other agents
operate safely and reliably
deliver business value

Technology Stack

🤖 GPTs Builder • 🔗 Flowise AI • 📊 Google Sheets ⚡ Zapier • Slack • APIs 🧠 LLMs • Prompt Engineering • Vector Memory 🛠 No-Code / Low-Code Agent Platforms

Agent Architecture You Will Build

flowchart LR

A[User Input] --> B[Prompt + Context]
B --> C[LLM Reasoning]
C --> D[Tools / APIs]
C --> E[Memory]
D --> F[Action]
E --> C
F --> G[Output]

Program Roadmap

Module	Lab
Introduction to the Agentic AI Era	Concept Mapping
Anatomy of an Agent	Visual Data Flow Prototype
How Agents Work	Support Agent Anatomy
Current Agentic AI Frameworks and Ecosystems	Platform Comparison Canvas
Use Cases Across Industries	Case Analysis with Technical Lens
Prompts, Intents, and Context	Structured Prompt Crafting
Tools and Actions	Tool Integration Challenge
Memory and Learning	Conversational Memory Implementation
Multi-Agent Coordination	Agent Team Simulation
Integration with Business Data	Secure Integration Project
Task Automation with Agents	Process Automation Plan
Agent UX and Interaction	Dialogue Design
Risks and Security	Agent Security Audit
Building Your First Full Agent	Functional Prototype
Monitoring and Orchestration	Log Analysis and Refinement
Final Presentation and Future of Agentic AI	Final Project Demonstration

What You Will Learn

✔ What makes Agentic AI different from generative AI
✔ How agents think, act, and use tools
✔ How to design reliable prompts
✔ How to give agents memory
✔ How to connect agents to real data
✔ How to automate workflows
✔ How to build multi-agent systems
✔ How to secure and monitor agents
✔ How to build a complete agent from scratch

Final Capstone

At the end of the course, you will build:

✅ A fully functional AI agent
✅ With memory
✅ With tools
✅ With automation
✅ With safety guardrails
✅ With real-world use case

Course Setup Checklist

Requirements

Stable internet connection
Modern browser (Chrome recommended)
Google account
GitHub account
OpenAI account

Accounts Needed

OpenAI / ChatGPT
Google Sheets
Zapier
Slack (optional)
Flowise / agent builder tool

Recommended Skills

Not required, but helpful:

Basic computer skills
Curiosity about AI
Interest in automation
Interest in business workflows

No coding required.

Design agents. Automate work. Build the future.