Python Essentials for AI Agents – Tutorial

This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of sophisticated Large Language Models. You will learn to write code and to architect systems that can reason, use tools, and solve real-world problems using both proprietary and open-source AI. ⭐️ Resources ⭐️ 🔗 Course Resources - https://www.analyticsvidhya.com/resources/python-essentials-for-building-agents/?utm_source=freecodecamp&utm_medium=video_description 🔗 Get Quizzes and Certificate for this course - https://www.analyticsvidhya.com/courses/a-b-c-of-coding-to-build-ai-agents/?utm_source=freecodecamp&utm_medium=video_description 🔗 Explore GenAI and Data Science Free Courses - https://www.analyticsvidhya.com/courses/?utm_source=freecodecamp&utm_medium=video_description ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ Module 1: Introduction to Python - 0:00:00 Overview of Python - 0:16:26 Variables and Data Types - 0:35:45 Understanding Conditional Statements - 0:40:04 Implementing Conditional Statements - 0:49:00 Understanding Looping Constructs - 0:53:20 Looping Constructs - 1:10:51 Functions in Python - 1:14:57 Functions in Python Part 2 - 1:29:47 Modules and Packages in Python - 1:34:36 Hands-on Python Best Practices Module 2: Data Analysis & Databases - 1:53:43 The Basics of NumPy - 2:03:43 Hands-on: The Basics of NumPy - 2:18:35 Arithmetic Universal Functions in NumPy - 2:32:21 Matplotlib: Types of Plots - 2:52:32 Matplotlib: Customizing Plots - 3:05:50 Pandas: Understanding the Dataset - 3:42:26 Handling Missing Values & Modifying Dataset - 3:58:10 Introduction to Database & SQL - 4:04:09 Connecting Python to SQL Databases - 4:14:04 Working with Files & Databases in Python - 4:18:35 Hands-on SQLite Database Module 3: APIs & Deployment - 4:39:33 Working with APIs - 4:44:46 Accessing APIs using Python - 4:52:06 API Best Practices - 4:57:54 Building an API with Flask & FastAPI - 5:06:54 Module Project Hands-on Module 4: LLMs & AI Agents - 5:30:09 Solving Real-World Tasks using ChatGPT & Gemini APIs - 5:38:45 Open Source LLMs using HuggingFace Serverless APIs - 5:53:14 Working with Open Source LLMs using HuggingFace - 6:09:37 AI Agent Tools Landscape 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news