AI/ML Foundations for Absolute Beginners (AgenticAI + MLOps)
Published 3/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Build a Solid Conceptual Foundation on Machine Learning, Large Language Models (LLMs) and Agentic AI along with MLOps
What you’ll 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
Requirements
No programming or math background required. This course is designed for complete beginners. All concepts will be explained from scratch in a simple, intuitive way.
Description
Who this course is for
Beginners who want to understand the fundamentals of Machine Learning, LLMs, and Agentic AI without diving into code or math
Students and professionals exploring a future career in AI, Data Science, or Machine Learning
Product managers, analysts, and non-tech stakeholders working with ML/AI teams
Developers and tech enthusiasts curious about how modern AI systems like ChatGPT and autonomous agents work
Anyone interested in the emerging field of Agentic AI and how it’s shaping the future of intelligent systems and automation
