Foundations of Artificial Intelligence in Computer Science Engineering

Artificial intelligence is transforming the landscape of computer science, making a solid grasp of its engineering principles essential for any aspiring developer or engineer. This text-based course guides you through the fundamental theories, algorithms, and architectures that power modern machine intelligence. You will transition from understanding basic computational logic to conceptualizing intelligent systems, learning how machines represent knowledge, search for solutions, and adapt through data. What you'll learn: - Understand foundational AI terminology, historical context, and the core distinctions of machine intelligence. - Apply classic search algorithms and heuristics to solve complex computational problems. - Explore knowledge representation, propositional logic, and decision-making frameworks. - Master basic machine learning concepts, including supervised learning, neural networks, and modern transformer architectures. - Learn modern AI patterns such as prompt engineering basics and retrieval-augmented generation (RAG). - Analyze ethical considerations, bias, and alignment challenges in contemporary AI systems. The course starts with essential terminology and the mathematical roots of intelligence, moves through structural search algorithms, and concludes with modern neural network concepts and engineering patterns. It is designed for beginners, computer science students, and self-taught developers seeking a structured, text-only introduction to AI engineering without complex prerequisites. Start reading today to build your foundational knowledge in computer science engineering for the AI era.