MLOps Fundamentals™
MLOps Fundamentals™
Overview
MLOps Fundamentals™ certification is to impart, test and validate knowledge of MLOps vocabulary, principles, and practices.
MLOps Fundamentals™ certification helps Learners to understand the basic foundations of Machine Learning Operations
Exam Requirements
- Prerequisites for MLOps Fundamentals™ Exam is knowledge of DevOps or SRE certification
- Attend a face-to-face or virtual course taught by a Certified MLOps Fundamentals™ trainer
- Have 16 hours of live online or 16 hours of in-person training with MLOps Fundamentals™
- After successfully completing the course, you will need to accept the License Agreement to take the 40 question MLOps Fundamentals™ test
- To pass the test, correctly answer 27 out of the 40 questions within the 60-minute time limit
- Maintain your MLOps Fundamentals™ certification by renewing your certification annually
Modules
- What is MLOps?
- MLOps Vs DevOps
- Why do we need MLOps?
- Evolution of the MLOps
- ML/AI capabilities
- MLOps capabilities
- MLOps Challenges
- Benefits of MLOps
- MLOps Target Users
- Use Case
- Video
- Module Quiz
- Phases: Data Science Process
- Data development
- Model development
- Production Deployment
- Business Analysis
- OSEMN Framework
- Case Study
- Video
- Module Quiz
- Measure of maturity
- Dimensions of maturity
- MLOps: Maturity Levels
- MLOps Maturity level 0
- MLOps Maturity level 1
- MLOps Maturity level 2
- Organizational alignment
- Use Case
- Video
- Module Quiz
- MLOps Principles
- MLOps Best Practices
- MLOps: Tool Stack Requirement
- Case Study
- Video
- Module Quiz
- MACHINE LEARNING PIPELINES
- Why: Machine Learning Pipelines
- Who: Machine Learning Pipeline?
- When: Machine Learning Pipeline
- Machine Learning Pipeline Steps
- ML Algorithms; MLOps Challenges
- Iteration and MLOps Life Cycle
- Benefits: ML pipelines
- Use Case
- Video
- Module Quiz
- MLOps culture
- Essential values for the MLOps mindset
- Communication and Collaboration
- MLOps Team Collaboration
- MLOps: Hierarchy of Needs
- MLOps: DevOps, Data Scientist and Business Concerns
- Use Case
- Video
- Module Quiz
- Deployment Strategies Defined
- Deployment Best Practices
- Deployment Use Cases
- Kubernetes Blue Green Deployment
Target Audience
- Anyone starting or leading a move towards increased reliability
- Anyone interested in modern IT leadership and organizational change approaches
- Business Managers
- Business Stakeholders
- Change Agents
- Consultants
- Data Scientists
- Data Engineers
- DevOps Practitioners
- IT Directors
- IT Managers
- IT Team Leaders
- Product Owners
- Scrum Masters
- Software Engineers
- Site Reliability Engineers
- System Integrators
- Tool Providers
How can we help you?
Contact us for any queries or submit a business inquiry online.