L1-AI Evolution for Software Engineers | Lecture 1 — From Rule-Based to Agentic AI

Описание: Welcome to Lecture 1 of the AI for Software Engineering series with Bipin Kumar!
In this introductory session, we take a comprehensive look at how Artificial Intelligence has evolved over the decades — from simple rule-based systems all the way to today's powerful Generative AI and Agentic AI models. Whether you're a developer, a student, or someone with no coding background, this course is designed to get you job-ready in 4–5 months.

🧠 What You'll Learn in This Lecture:

The 4 stages of AI evolution: Rule-Based → Statistics → Machine Learning → Generative AI
How the Transformer architecture (2017 "Attention is All You Need" paper) changed everything
The rise of ChatGPT, Claude (Anthropic), Gemini, and Chinese models like DeepSeek & Qwen
Why agentic AI is the next frontier for software engineers
Tools you'll need: Miniconda, VS Code, Ollama, and Hugging Face
Full course roadmap: Python → GenAI → Agentic AI → AWS


🗺️ Full Course Roadmap:

Python Basics — syntax, packages, environment setup
Generative AI — Chat, RAG, Fine-tuning, Evaluation, Model Deployment
Agentic AI — Autonomous agents that take real actions
AWS — SageMaker, Bedrock, Agent Core, Knowledge Base
Real-World Projects — Industry-grade applications


🛠️ Tools to Install Before Next Class:

📦 Miniconda → https://docs.conda.io/en/latest/miniconda....
💻 VS Code → https://code.visualstudio.com
🤖 Ollama → https://ollama.ai



3 classes per week | Total duration: ~4–5 months


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💬 Drop your questions in the comments — Bipin responds!

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