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