AI & Machine Learning

Google Cloud AI and machine learning solutions.

Contact Center Engineer:

Learn how to design, develop, and deploy customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You’ll also learn some best practices for integrating conversational solutions with your existing contact center software, establishing a framework for human agent assistance, and implementing solutions securely and at scale.

Take the next step in your AI and Machine Learning journey with the Google Professional Machine Learning Engineer certification exam.

The Google Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques.

The ML Engineer considers responsible AI throughout the ML development process, and collaborates closely with other job roles to ensure long-term success of models. The ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation. The ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the ML Engineer designs and creates scalable solutions for optimal performance.