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Don't Just Chat, Build

An Introduction to LLMs and Coding Agents.

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Agenda

1. Intro to AI
The evolution of smart systems: from algorithms to neural networks.
Sub-topics:
  • AI & The Engineering Definition
  • Machine Learning vs Traditional Flow
  • Deep Learning & Neural Networks
  • From RNNs to Transformers
2. Demystifying LLMs
The language engine: how LLMs read, write, and process text under the hood.
Sub-topics:
  • Tokens, Embeddings & Vectors
  • The Transformer Architecture
  • Next-Token Probability & Temperature
  • Prompting, Hallucinations & Security
3. Agentic AI & Antigravity
Shifting from chatting to building: How AI takes actions and builds software.
Sub-topics:
  • The Agent Loop: Observe, Think, Act
  • Introduction to Antigravity
  • MCP & Specialized Agent Skills
  • Live Demo & Your Turn
4. Knowledge Check Quiz
Test your understanding before the final build challenge.
Sub-topics:
  • Agent vs LLM Recap
  • Model Context Protocol (MCP)
  • Agentic Debugging
  • Final Verification
5. Free Study Resources
A simple, jargon-free guide with curated resources to keep learning.
Includes:
  • The Absolute Basics (What is AI?)
  • Python Basics (The Universal Language)
  • Machine Learning & Deep Learning
  • Generative AI & LLMs