Microsoft | Evaluated Learning Experience
Microsoft Professional Program: Certificate in Artificial Intelligence
April 2018 - January 2020.
Upon successful completion of the certificate program, students will be able to: describe how machine learning provides the foundation for artificial intelligence; leverage cognitive services in developing applications; build and derive insights using machine learning models in problem spaces such as classification, regression, and clustering; solve image classification problem using deep learning models such as convolution neural network (CNN); forecast time series data and process sequential data using deep learning models such as recurrent neural network (RNN) and long short term memory (LSTM); frame reinforcement learning problems and solve using algorithms such as dynamic programming, temporal difference learning, deep ‘Q’ learning, policy gradient and actor-critic; apply classical image analysis techniques, such as edge detection, watershed and distance transformation as well as K-means clustering to segment a basic dataset; apply deep learning models to solve machine translation and conversation problems; and compete and solve a real-world artificial intelligence challenge.
Instruction is offered online through edX and through other Microsoft partners. Major topics include: artificial intelligence, Python, data science, essential math, ethics and law in data and analytics, research methods, natural language processing, and machine learning. Skills are measured through formative and summative assessments including a comprehensive capstone project.
In the lower division baccalaureate/associate degree category, 3 semester hours as Artificial Intelligence, Information Systems or as a technical elective (10/18).