Machine Learning with Gen AI for begineers

About this course

Machine Learning with Agentic AI is designed to help you understand the fundamentals of Machine Learning while exploring how Agentic AI can enhance intelligent applications and automate data-driven tasks. This course starts with the essential concepts of Machine Learning, making it suitable for learners who are new to AI, Machine Learning, and intelligent systems. You will learn how Machine Learning works, how data is prepared for models, and how algorithms can be trained to identify patterns and make predictions.

You will explore important Machine Learning concepts including supervised learning, unsupervised learning, classification, regression, clustering, model evaluation, feature engineering, and data preprocessing. The course also introduces Python-based approaches for building and experimenting with Machine Learning models.

A major focus of the course is understanding how Agentic AI works alongside Machine Learning. You will learn how AI agents can reason through tasks, interact with tools, process information, make decisions, and automate multi-step workflows. You will also discover how Agentic AI can be integrated into Machine Learning workflows to improve productivity and create more intelligent AI-powered solutions.

Through practical examples and hands-on exercises, you will gain experience working with Machine Learning concepts and Agentic AI techniques. You will learn how to approach real-world AI problems, select appropriate Machine Learning methods, evaluate results, and understand where autonomous AI agents can add value.

By the end of this course, you will have a strong foundation in Machine Learning and a practical understanding of Agentic AI. You will be able to confidently continue your learning journey toward advanced topics such as Generative AI, Large Language Models, RAG, AI agents, automation, and AI engineering.

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