Cooking Up AI: From Basics to Agentic Systems

About this course

This course contains the use of artificial intelligence.

Cooking Up AI: From Basics to Agentic Systems is a beginner-friendly course designed to help anyone understand Artificial Intelligence, Large Language Models, AI Agents, RAG, MCP, and AI architectures using simple food, cooking, and kitchen analogies. Instead of overwhelming learners with complex technical jargon, this course explains modern AI concepts in a way that feels familiar, practical, and easy to remember.

If you have ever wondered how ChatGPT, Generative AI, AI copilots, autonomous agents, or enterprise AI systems actually work, this course gives you a clear foundation. You will learn how AI is like a kitchen, where data becomes ingredients, models become recipes, compute becomes kitchen equipment, and AI systems become full restaurants capable of serving intelligent outcomes.

The course begins with the basics of what AI is, how it differs from regular software and automation, and why concepts like training, inference, narrow AI, and general AI matter. You will then explore how data quality, data preprocessing, bias, and labeling affect the performance of AI systems, just like fresh or spoiled ingredients affect the quality of a meal.

Next, you will learn how machine learning models work, including supervised learning, unsupervised learning, neural networks, pretraining, and fine-tuning. These topics are explained through recipe-based analogies so learners can understand how AI models learn patterns and

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