Foundations of Artificial Intelligence and AI Engineering

Foundations of Artificial Intelligence and AI Engineering is a beginner-friendly but technically grounded course designed to introduce students to the principles, methods, and technologies that power modern artificial intelligence.

The course begins with the foundations of AI, including its history, intelligent agents, problem solving, search techniques, knowledge representation, reasoning, and expert systems. Students then progress into machine learning concepts such as datasets, features, model training, supervised and unsupervised learning, classification, regression, and model evaluation.

Learners are also introduced to neural networks and deep learning, developing an understanding of how artificial neurons, network layers, training processes, and modern deep-learning systems operate.

The course then connects these traditional foundations to today's rapidly evolving AI landscape by exploring Generative AI, Large Language Models (LLMs), transformers, prompt engineering, multimodal AI, AI agents, retrieval-augmented generation (RAG), and AI-powered application development.

Rather than focusing only on theory, the course introduces the AI engineering mindset—how developers integrate AI models and services into practical software applications, evaluate AI outputs, work with APIs and data, and design useful intelligent solutions.

Students will also examine important issues surrounding responsible AI, including bias, privacy, security, transparency, hallucinations, copyright, ethical use, and the social implications of artificial intelligence.

By the end of the course, learners should understand not only what artificial intelligence is, but also the fundamental principles behind how AI systems work and how modern AI technologies can be applied to solve real-world problems.

The course provides a strong foundation for further study in Machine Learning, Deep Learning, Generative AI, Data Science, Natural Language Processing, Computer Vision, Prompt Engineering, Intelligent Systems, and advanced AI Engineering.