ARD1004 – Developing MLOps

This course is designed to provide students with the knowledge and skills required to develop and deploy machine learning models at scale using MLOps. Students will learn about the principles and practices of MLOps, the role of developer operations in machine learning, types and layers of machine learning, and levels of machine learning. Students will gain hands-on experience with tools and techniques used in each stage of the machine learning lifecycle, and will develop machine learning models that meet the needs of their organization.

Lesson 1: Introduction to MLOps

• Definition of MLOps
• Benefits of MLOps
• Comparison with traditional machine learning

Lesson 2: Developer Operations in Machine Learning

• Overview of developer operations in machine learning
• Roles and responsibilities of developer operations in machine learning
• Best practices for developer operations in machine learning

Lesson 3: Types and Layers of Machine Learning

• Overview of types of machine learning
• Overview of layers of machine learning
• Methods and tools used in each layer

Lesson 4: Machine Learning Layers

• Supervised learning
• Unsupervised learning
• Reinforcement learning

Lesson 5: Machine Learning Types

• Classification
• Regression
• Clustering
• Dimensionality reduction

Lesson 6: Machine Learning Levels

• Level 1: Descriptive Analytics
• Level 1: Diagnostic Analytics
• Level 2: Predictive Analytics
• Level 3: Prescriptive Analytics

Lesson 7: Machine Learning Tools and Techniques

• Overview of machine learning tools and techniques
• Methods and tools used in each stage of the machine learning lifecycle

Lesson 8: Machine Learning Deployment

• Overview of machine learning deployment
• Types of machine learning deployment
• Methods and tools used in machine learning deployment

Lesson 9: Machine Learning Monitoring and Maintenance

• Overview of machine learning monitoring and maintenance
• Methods and tools used in machine learning monitoring and maintenance

Lesson 10: Machine Learning Security

• Overview of machine learning security
• Types of machine learning security threats
• Best practices for machine learning security

Course Instructor

Ardent XR Author