Cardiff School of Technologies>Courses>responsible-machine-learning-micro-credential-course

Responsible Machine Learning Micro-Credential Course, Level 5

​​​​​​This course aims to help students acquire skills in the development of machine learning models using the Python programming language whilst also creating artefacts that can be used to explain how the model works using Responsible AI methods.

​The students will also learn how to develop interactive dashboards that can be used to present both the models they have developed and those artefacts. Students will be introduced to the following concepts during the module including: -

  • Exploratory Data Analysis
  • Development of supervised machine learning models: -
    • Classification
    • Regression
  • Responsible AI
    • Checking for Fairness and Bias
    • Explaining machine learning model behaviour
  • ​Web based Interactive dashboard development using Python

Who Is This Course For

  • This course is for anyone who has completed our level 4 Machine Learning course.
  • Proficient computer users who want to develop specific Responsible Machine Learning skills for immediate impact.

What You'll Learn

  • Apply various data science and machine learning Python libraries
  • Administer Exploratory Data Analysis (EDA) on a given dataset and prepare it for machine learning model development.
  • Create varied visualisations and other forms of output that can be used to evaluate a supervised machine learning model’s performance.
  • Evaluate data and machine learning model output to ensure fairness.
  • ​Present and explain a model’s development and its output to non-technical stakeholders.

Course Includes

  • 20 hours free tuition
  • Certificate on the successful completion of an assessment
  • Earn a 10-credit digital badge certification.

Place Of Study

Run across locations in South Wales including Blaenau Gwent, Neath Port Talbot, Powys and Vale of Glamorgan. For more information, please contact dtlsn.info@cardiffmet.ac.uk

Contact Us

For more information about this course and details on how to apply, please contact dtlsn.info@cardiffmet.ac.uk