In this module, we will explore what artificial intelligence truly means, where it originated, and how it has evolved over the years. You’ll develop a solid understanding of essential AI terminology and clearly differentiate AI from machine learning and deep learning. This module builds the foundation for deeper, more advanced concepts that follow.

In this module, we will uncover the essential components that power AI, including data, algorithms, and foundational models. You’ll learn how these elements work together to drive intelligent behavior in machines. By examining both capabilities and limitations, you’ll gain a balanced perspective on what AI can—and cannot—achieve.

In this module, we will break down how machines learn through patterns, decisions, and experience. You’ll explore the major learning types—supervised, unsupervised, and reinforcement learning—and dive into techniques like regression, clustering, and decision trees. Ethical challenges and real-world implications round out your introduction to machine learning.

In this module, we will explore deep learning and how neural networks mimic human cognition to process complex information. You’ll examine various network types, their strengths, and the challenges involved in training them. Finally, you’ll look ahead at emerging trends that are shaping the future of deep learning.

In this module, we will dive into natural language processing, the field that enables machines to understand and generate human language. You’ll explore key NLP concepts, model types, and cutting-edge technologies like transformers and large language models. The module concludes with insights into speech recognition and conversational AI.

In this module, we will explore emerging trends and innovations shaping the future of AI. You’ll examine the distinctions between narrow AI and general AI, and address pressing questions around jobs, automation, and superintelligence. This module offers a forward-looking perspective to help you understand where AI is heading.

In this module, we will wrap up the course with a final review of key ideas and insights gained. You’ll consolidate your understanding of AI fundamentals and reflect on how to continue learning in this fast-evolving field. This conclusion ensures you leave with confidence and clarity on your path forward.