Learn AI Agents: Build Intelligent AI Agents from Scratch

Course Overview

This practical and beginner-friendly course introduces Agentic AI and AI Agents using Python and modern Large Language Model APIs. It covers fundamental concepts such as Artificial Intelligence, Machine Learning, Generative AI, LLMs, and AI Agents, progressing to building real AI Agents that can reason, plan, act, and interact with tools and APIs. Students will build multiple practical AI Agent projects and a complete Personal AI Assistant.

Key Takeaways

• Understand the fundamentals of AI, Machine Learning, Generative AI, LLMs, and Agentic AI.
• Learn the AI Agent workflow: Input, Reasoning, Planning, Action, Memory, and Output.
• Build practical AI Agents with Python using OpenAI and Gemini APIs.
• Add memory, reasoning, planning, tools, and context to AI Agents for enhanced capabilities.
• Develop AI Agents for tasks like research, translation, coding, debugging, email writing, and summarization.
• Apply prompt engineering, error handling, API cost optimization, and function calling.
• Create a Personal AI Assistant combining multiple AI Agent capabilities.

Prerequisites

• A computer with Python installed
• Basic Python knowledge
• VS Code or another code editor
• Interest in Artificial Intelligence

Target Learners

• Python beginners interested in AI Agent development
• Python developers aiming to build practical AI Agents and Agentic AI applications
• Students and beginners seeking a step-by-step introduction to AI Agents
• AI and Generative AI enthusiasts interested in LLMs, autonomous agents, memory, and tools
• Data scientists looking to expand skills into Agentic AI and AI Agent development