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

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/minic... 💻 VS Code → https://code.visualstudio.com 🤖 Ollama → https://ollama.ai 3 classes per week | Total duration: ~4–5 months 📌 Subscribe and turn on notifications so you never miss a class! 💬 Drop your questions in the comments — Bipin responds! #AIForEngineers #GenerativeAI #AgenticAI #MachineLearning #BipinKumar #ChatGPT #Claude #Python #SoftwareEngineering #LLM #Transformer #DeepLearning