Agentic AI: Build AI Agents with Python, Gemini from Scratch

About this course

Welcome to this course on Agentic AI, the future of Artificial Intelligence.

Artificial Intelligence is rapidly evolving beyond traditional chatbots. Today's AI Agents can reason, plan, use tools, access information, remember context, and perform tasks autonomously. As organizations increasingly adopt Agentic AI for automation, research, customer support, data analysis, and decision-making, AI Agent Development has become one of the most in-demand skills in the AI industry.

This beginner-friendly course provides a practical introduction to Agentic AI and teaches you how to build intelligent autonomous AI agents using Python and modern AI development techniques.

What You'll Learn:

By the end of this course, you will be able to:

Intro to Agentic AI & What Makes it Different from Large Language Models (LLMs)AI Agent Building Blocks & Architecture (Goal, Reasoning Engine, Memory, Tools, Action)Real-World Agentic AI Examples (AI Coding, Travel Planning & Customer Support Agent)Building an AI Autonomous AI Agent using Python with Hand-on Training from Scratch

Understand how different functions and tools can work together to accomplish a larger goal.

Learn how autonomous workflows can be designed for practical AI applications.

Create &Use Gemini Free API in Google Colab

Implement AI Agent Memory with Python

Implement AI Agent Tools with Python

Implement AI Agent Reasoning with Python

Implement the Main AI Agent Orchestrator (Agent Components in One Place)Coding resources are provided to get started Immediately

Future of Agentic AI and Course Wrap-Up

Learn Through Real-World Examples:

Throughout the course, we'll look at examples of AI agents, including:

Travel Planning Agents

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