Python Fundamentals Recap + AI Agents Proof of Concept Demo | Gen AI Workshop

In this session, we kick off with a quick recap of Python fundamentals—including data types like strings, lists, sets, and more—along with practical examples and common pitfalls during installation. Following that, we dive deep into AI Agents, explaining the difference between workflows and agents, augmented LLM frameworks, and how they can be applied to real-world use cases like financial advisory chatbots or healthcare automation. We also walk through a live Proof of Concept demo built using Python and LLMs without relying on heavy frameworks, showcasing how agents can retrieve data, use tools, and personalize outputs.

Whether you're new to Python or exploring AI agent development, this workshop offers hands-on insights and foundational knowledge to help you start building intelligent systems.

🔹 Topics Covered:

Python installation & environment setup

Data types: strings, lists, sets, indexing, slicing

Functions vs. methods in Python

Introduction to AI Agents & Augmented LLMs

Workflows vs. Agents: When to use each

Live PoC demo: Healthcare automation using agents

Q&A and next steps

🔹 Useful Links:

Workshop slides & code: [Link to resources]

Python installation guide: [Link]

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