Curriculum
4 Sections
9 Lessons
24 Hours
Expand all sections
Collapse all sections
Data Preparation for ML and AI (28%)
3 Items
1.1
Collect and store data
1.2
Transform and engineer features
1.3
Data quality and bias
ML Model and Foundation Model Development (24%)
2 Items
2.1
Choose modeling approaches
2.2
Train, fine-tune and evaluate
Deployment and Orchestration (24%)
2 Items
3.1
Deployment infrastructure
3.2
Orchestration and CI/CD
Operating, Monitoring and Securing (24%)
2 Items
4.1
Monitoring and optimization
4.2
Security
Certified Machine Learning Engineer – Associate (MLA-C02)
Search
This content is protected, please
login
and enroll in the course to view this content!
Home
Courses
Search
Search
Account
Log in with your account
Lost your password?
Remember Me
Modal title
Main Content