Course Description

This course is taught online. The duration of the course is distributed between the content and collaboration tools. Upon completion, the student will receive an accrediting diploma.

The training is carried out through our Virtual Campus, with this modality you will have all the didactic content on the course platform and it will be accessible, from the start day of the course, 24 hours a day, every day of the week. Access to the Campus will be available for 6 weeks.

The student will also have participation forums , as well as continuous tutoring .

About the course

The MLOps (Machine Learning Operations) course offers you the MLOps tools and best practices to implement, evaluate, monitor and operate ML systems. Learn to use tools for continuous improvement and evaluation of implemented models. Learn how to develop models that improve the speed and rigor in the implementation of machine learning solutions.

MLOps is a practice that helps streamline software development processes. Its objective is to quickly carry out software development processes, create a flow between the different stages of development and have quality.

Course content

• Run your notebook
  
• Connect to the workspace
  
• Create a compute resource to run your job
• Create a job environment
• What is a command job?
• Create training script
• Configure the command
• Submit the job
• View job output and wait for job completion
• Deploy the model as an online endpoint
• Create a new online endpoint
• Deploy the model to the endpoint
• Clean up resources