🧠 Introduction to Agentic AI Fundamentals | Build AI Agents in Pure Python

🎓 Full Course HERE 👉 https://community.superdatascience.com/c/agentic-ai-1-fundamentals

In this foundational lesson, we introduce Agentic AI and outline what you will build throughout this hands-on course. You’ll learn what AI agents are, how they operate through structured workflows, and how to build real agentic AI applications using pure Python — without relying on frameworks.

We walk through the course structure, environment setup, prerequisites, and the GitHub repository that will act as the central source of truth for all course materials. This is a coding-first course focused on practice, implementation, and understanding the mechanics behind agentic systems.

You’ll discover how agents interact with tools, generate structured outputs, and eventually deploy full AI applications to the web.

✅ Understand what Agentic AI is
✅ Learn how AI agents and workflows operate
✅ Set up your development environment
✅ Explore structured outputs and tool use
✅ Prepare to build and deploy real AI agents
✅ Code everything in pure Python

🔗 Also find us here:
🌐 Website: https://www.superdatascience.com/

💼 LinkedIn: https://www.linkedin.com/company/superdatascience/

📬 Contact: support@superdatascience.com

⏱️ Timestamps & Chapters (Approx. 6:00)
00:00 – Welcome to Agentic AI Fundamentals
00:36 – Course Structure Overview
01:23 – Basic Agent Workflows
01:33 – Structured Outputs
01:40 – Tool Use & Function Calling
02:06 – Final Deployed Project
02:31 – Why We Use Pure Python (No Frameworks)
03:23 – Prerequisites
04:31 – GitHub Repository Overview
05:09 – Practice Strategy & Coding Mindset

🧠 Hashtags
#AgenticAI #AIAgents #ArtificialIntelligence #LLM #GenerativeAI #Python #AIEngineering #AIWorkflow #MachineLearning #AIDevelopment

Видео 🧠 Introduction to Agentic AI Fundamentals | Build AI Agents in Pure Python канала Super Data Science