Why Learning The AI Fundamentals Is Essential for Success

The world of artificial intelligence is moving fast, but lasting success in the field depends on mastering the fundamentals. For engineers and computer scientists looking to grow their careers, gaining a proper understanding of how AI systems are built and applied is what sets them apart. UIC’s Online Master of Engineering (MEng) with a concentration in AI and Machine Learning helps professionals do just that by building the deep technical foundation they need to lead in an evolving industry.

One of the foundational courses in the program, MENG 419: Intro to Artificial Intelligence, gives students a comprehensive introduction to the core concepts and techniques that power today’s AI systems. The course taught by Dr. Ian Kash, a computer scientist with extensive research and industry experience, emphasizes how AI tools work, when to use them, and how to translate complex, real-world problems into solvable models. In this spotlight, Dr. Kash shares his background, what students learn in his class, and how this course prepares them to excel in the expanding AI landscape.

Bringing Real-World AI Experience to UIC’s MEng Program

I earned my PhD in computer science at Cornell. Before joining UIC, I spent seven years at the Microsoft Research Lab in Cambridge, England, applying AI techniques to diverse challenges across their advertising and cloud computing platforms. More broadly, my research focuses on the intersection of computer science and economics, a space that explores interactions among multiple agents and how those dynamics shape outcomes. I started in this area in the peer-to-peer file-sharing era, and now similar challenges are appearing again as we think about agentic frameworks in AI.

Why MENG 419: Intro to Artificial Intelligence Is a Key Course in UIC’s MEng Degree

MENG 419 covers a range of core AI topics, including search, reinforcement learning, probabilistic models, and game theory. Each area represents a distinct component within the broader field of AI, but they also share important connections that the course emphasizes. My goal is to help students understand both the individual techniques and how they relate to one another.

Ultimately, MENG 419 provides a broad overview of the essential concepts that serve as the foundation for nearly everything students might pursue in the field. It’s the broadest course in the curriculum, giving students the groundwork they can build on before diving deeper into more specialized areas of study.

Why Foundational AI Knowledge Matters in a Fast-Moving Field

Having a solid grounding in core AI concepts makes it much easier to understand and apply new technologies as they appear. For example, if you know adversarial search, you can quickly grasp what’s happening when systems like AlphaGo achieve breakthroughs in game-playing. If you understand reinforcement learning, you’ll be better positioned to follow how large language models are fine-tuned for different use cases.

Many students come into the course with their view of AI shaped by what’s covered in the news, such as deep learning, generative AI, and large language models. MENG 419 broadens that perspective. It introduces students to the larger universe of AI ideas and tools so they can recognize not just what’s trending, but what’s fundamentally important.

3 Core Skills You’ll Build in UIC’s Artificial Intelligence Course

1. Problem Representation: The first primary skill students develop is taking a real-world problem and representing it in a way that makes it solvable by AI tools. Understanding how to translate complex situations into structured models is essential for effective problem-solving.
2. Evaluating AI Techniques: Students learn where different AI methods work well and where they don’t. This critical thinking helps them assess which approaches are best suited for specific challenges rather than relying on one-size-fits-all solutions.
3. Building an End-to-End AI Pipeline: The course brings everything together by showing students how to move from identifying a problem to selecting and applying the proper AI techniques confidently and effectively.

How UIC’s AI Course Prepares Students for Data Science and Machine Learning Roles

MENG 419 provides AI foundations students can build on for careers such as data scientist, machine learning engineer, or AI specialist. The course ensures that students not only understand today’s tools but are also equipped to adapt to whatever technologies emerge next.

There’s a balance between theory and practice. Students work through written assignments that strengthen their understanding of algorithms and problem representation, but those assignments are rooted in real-world applications. I also include Python programming exercises so students can experiment with various AI techniques. For those eager to explore further, a bonus project invites them to try out production-level AI tools on smaller examples, giving them the chance to apply their skills hands-on.

Tips for Succeeding in UIC’s Online Master of Engineering Program

One of the biggest things I tell students is to remember that our 8-week courses move quickly. They are about twice as fast as traditional semester-long classes. The program is structured to support you through that pace, but staying organized and disciplined is key. If you start to struggle, seek help early. Reaching out and staying engaged can make all the difference in succeeding in the program.

What Sets UIC’s Online MEng Degree Apart

One of the most significant differences between UIC’s MEng program and other online master’s programs in computer science or AI is its scale. Some programs aim for massive enrollment numbers, but that’s not the approach we take. Our classes are smaller and much more personal.

In fact, my classes are often smaller in the Master of Engineering degree program than the ones I teach in person on campus. That allows for much more direct interaction with students. I often hear from them even after the course ends about the projects they’re working on or how they’re applying what they learned. Those opportunities for personal connection and continued engagement are some of the biggest advantages of the program.