Google Cloud Professional ML Engineer Certification
The Professional Machine Learning Engineer certification validates the skills of individuals in building, evaluating, and optimizing AI solutions using Google Cloud. It focuses on managing large datasets, creating reusable code, and promoting responsible AI practices while operationalizing generative AI solutions for sustainable application success.
About the Course:
The Professional Machine Learning Engineer certification is designed for individuals who build, evaluate, and optimize AI solutions using Google Cloud capabilities. This certification validates the ability to handle large, complex datasets and create repeatable, reusable code. It emphasizes responsible AI practices and the operationalization of generative AI solutions, ensuring long-term success for AI applications.
What will you learn:
- Build and evaluate AI solutions using Google Cloud tools.
- Create scalable machine learning models and prototypes.
- Collaborate effectively across teams to manage data and models.
- Automate and orchestrate machine learning pipelines.
- Monitor and optimize AI solutions for performance and scalability.
Certification Objectives:
- To equip learners with the skills to architect low-code AI solutions.
- To enable collaboration across teams for effective data management.
- To ensure proficiency in deploying and scaling machine learning models.
- To develop the ability to monitor and optimize AI solutions.
Awarding Body:
Curriculum
- 6 Sections
- 0 Lessons
- 30 Hours
- AI solution architecture0
- Data management and collaboration0
- Scaling prototypes to machine learning models0
- Serving and scaling AI models0
- Automation of ML pipelines0
- Monitoring and improving AI solutions0
