As IoT devices become central to industries like manufacturing, smart buildings, and operations, understanding how AI enhances connected systems is increasingly valuable. This course introduces you to the convergence of IoT and GenAI—from foundational concepts to real-world applications.

Begin by exploring IoT principles and strategic advantages across industries, then move into AI fundamentals such as machine learning, deep learning, and technologies like voice assistants and recommendation engines. It covers IoT deployment strategies, comparing standalone, in-band, and guard band approaches, and their effects on performance and scalability. Discover how generative AI integrates with IoT, including how large language models (LLMs) function, how to address AI hallucinations, and how to build specialized IoT assistants. By the end of this course, you’ll be prepared to apply these skills to predictive maintenance, AIOps, and natural language simulation.