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Graduate Certificate in Artificial Intelligence

Develop a strong foundation in key AI topics including statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.
University of Colorado Boulder via Coursera

University of Colorado Boulder

37 Courses


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Overview

The graduate certificate in Artificial Intelligence (AI) provides students with a strong foundation in key AI topics. Students apply Machine Learning (ML) algorithms to real-world data sets; examine ethical issues in the design and implementation of current and future computing systems and technologies; create an appreciation for the tight interplay between mechanism, sensor, and control in the design of robotic and intelligent systems; study vital topics in generative AI, reinforcement learning, natural language processing, and autonomous systems.

Credits earned in the AI Graduate Certificate can count toward the MS-CS degree and the AI Certificate. You can complete your AI Certificate in parallel with your MS-CS degree.

Syllabus

  • Introduction to Artificial Intelligence
  • Overview of AI Concepts and History
    AI Applications in Various Industries
  • Machine Learning (ML) Algorithms
  • Supervised Learning
    Linear Regression
    Classification Techniques
    Unsupervised Learning
    Clustering Methods
    Dimensionality Reduction
    Real-World Data Set Applications
  • Ethical and Social Implications of AI
  • Bias in AI Systems
    Privacy Concerns
    AI in Decision-Making and Accountability
  • Robotics and Intelligent Systems
  • Mechanisms and Sensors in Robotics
    Control Systems in Robotics
    Interplay Between Mechanism, Sensor, and Control
  • Generative AI
  • Generative Adversarial Networks (GANs)
    Applications of Generative Models
  • Reinforcement Learning
  • Fundamentals of Reinforcement Learning
    Exploration vs. Exploitation
    Real-World Applications and Case Studies
  • Natural Language Processing (NLP)
  • Text Processing and Analysis
    Sentiment Analysis
    Language Models and their Applications
  • Autonomous Systems
  • Autonomous Vehicles and Drones
    Human-Robot Interaction
    Safety and Security in Autonomous Systems
  • Capstone Project
  • Integration of Learned Concepts
    Real-World Application of AI Techniques
    Presentation and Documentation of Project Findings

Subjects

Artificial Intelligence