Applied AI for Engineers and Scientists: Foundations Specialization

Arm Scientists and Engineers with AI Techniques. Use AI for engineering/scientific optimization and machine learning without complex programming.

Instructor: Bo Liu

What you'll learn

  •   Overall: Concepts and principles of machine learning, evolutionary computation and their real-world applications via MATLAB.
  •   Course 1: MATLAB fundamentals, particularly those that are useful for applying AI techniques using MATLAB.
  •   Course 2: The working principles of evolutionary algorithms (an AI branch for optimization) and their application in science and engineering.
  •   Course 3: The essential concepts and working principles of machine learning algorithms and their application in science and engineering.

    • Skills you'll gain

  •   Supervised Learning
  •   Classification And Regression Tree (CART)
  •   Computer Programming
  •   Scripting
  •   Numerical Analysis
  •   Machine Learning Algorithms
  •   Programming Principles
  •   Machine Learning
  •   Matlab
  •   Data Cleansing
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Artificial Neural Networks

    • Specialization - 3 course series

    The assignments ask students to solve (simplified) real-world scientific and engineering problems, including optimization and machine learning, using AI techniques. The learners will analyze the problems and apply the AI knowledge that was taught with the support of the MATLAB platform and toolboxes. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.

    Evolutionary Computation and its Applications

    Machine Learning and its Applications

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