Build a Solid Conceptual Foundation on Machine Learning, Large Language Models (LLMs) and Agentic AI along with MLOps
What you will learn
Learn What Machine Learning Really Is – Build a clear conceptual understanding of how machine learning works and how it differs from traditional programming.
Explore Key Types of Machine Learning – Get introduced to supervised, unsupervised, and reinforcement learning with simple, relatable explanations.
Understand the End-to-End ML Process – Learn the basic steps involved in building a machine learning model, from data preparation to evaluation.
Get Familiar with Popular ML Algorithms – Discover widely-used ML algorithms like linear regression, decision trees, and neural networks—without diving into hea
Introduction to Large Language Models (LLMs) – Understand how modern AI models like ChatGPT work, including concepts like tokens, transformers, and prompt engin
Discover the fundamentals of Agentic AI – including memory, planning, agent architectures, tools, and real-world use cases
Reflect on the ethical considerations of Agentic AI and how it ties into modern practices like DevOps and MLOps
English
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