This AI Fundamentals course from IBM Technology provides a modern and practical introduction to artificial intelligence systems used in today’s industry. It focuses on real-world AI concepts rather than only theory, making it useful for beginners and professionals who want to understand current AI trends.

The course begins with key architectural concepts such as AI stacks and how developers choose between different approaches like RAG (Retrieval-Augmented Generation) systems. This helps learners understand how AI applications are designed in real environments.

It then explores AI agents and their capabilities, explaining how intelligent systems can perform tasks, make decisions, and interact with tools. Learners also discover the essential skills required to build effective AI agents.

A major part of the course introduces multimodal AI, showing how modern models can process and understand text, images, and other types of data simultaneously.

The course also covers important advanced topics such as AI technical debt, which explains risks and challenges in machine learning projects, and human-in-the-loop systems that combine human judgment with AI decision-making.

Additional topics include physical AI and robotics, explaining how machines learn and adapt in real-world environments.

By the end of the course, learners will understand modern AI system design, agent-based architectures, and key challenges in building scalable and responsible AI solutions.