Data Science/Machine Learning Engineer Path
Contact Center Engineer Path
Google Cloud Big Data and Machine Learning Fundamentals
1 DAY
This course will introduce you to Google Cloud’s big data and machine learning functions. You’ll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities.
Customer Experiences with Contact Center AI – Dialogflow CX
4 DAYS
In this course, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow CX to create virtual agents and test them using the simulator. Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You’ll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures. Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
Machine Learning on Google Cloud
5 DAYS
What is machine learning, and what kinds of problems can it solve? Why are neural networks so popular right now? How can you improve data quality and perform exploratory data analysis? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent? In this course, you'll learn how to write distributed machine learning models that scale in Tensorflow 2.x, perform feature engineering in BQML and Keras, evaluate loss curves and perform hyperparameter tuning, and train models at scale with Cloud AI Platform.
Customer Experiences with Contact Center AI – Dialogflow ES
4 DAYS
In this course, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow ES to create virtual agents and test them using the simulator. Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You’ll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures. Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
Professional Machine Learning Engineer-Google Cloud Advanced Skills & Certification Workshop
2 DAYS
This workshop is designed to help IT professionals prepare for the Google Cloud Professional Machine Learning Engineer certification exam.
A 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 Professional Cloud ML exam assesses your ability to frame ML problems, architect ML solutions, develop ML models, automate and orchestrate ML pipelines, and more.
In this workshop, we review the exam guidelines and cover the main topics you may be tested on.
Introduction to AI and Machine Learning on Google Cloud
1 DAY
This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.
