Introduction to AI (Expert Level)

In this course, you’ll go deep into modern artificial intelligence. We’ll break down how deep learning and reinforcement learning really work. You’ll see the guts behind AI models that process language and images. We cover the math, moving parts, strengths, and big headaches when building bleeding-edge AI. You’ll also get hands-on—building models, wrestling with data, and learning where the tech falls short or runs into ethical quicksand. By the end, you’ll be ready for real AI projects or deeper research, with balanced, realistic views of what AI can—and can’t—do.

Course Objectives

  • Explain the design and logic behind deep learning and reinforcement learning

  • Analyze how NLP and computer vision models work (and where they fail)

  • Critically review strengths, limits, and real applications of advanced AI

  • Debate technical and ethical boundaries in current AI systems

  • Dispel common hype or myths about AI’s true abilities

  • Build and deploy a real AI model, addressing practical and ethical hurdles

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