Data and Machine Learning

This learning path is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. To get up to speed quickly, choose a course track suited for your role or interests.

Data Analyst Track
Step
1
From Data to Insights with Google Cloud Platform
This course teaches participants how to derive insights through data analysis and visualization using the Google Cloud Platform.
Step
2
Building Conversational Experiences with Dialogflow
This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.
Data Engineering Track
Step
1
Google Cloud Platform Fundamentals: Big Data & Machine Learning
This course introduces participants to the big data capabilities of Google Cloud Platform.
Step
2
Data Engineering on Google Cloud Platform
This course provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform.
Step
3
Preparing for the Professional Data Engineer Examination
This course provides information, tips, and advice on taking the Google Cloud Certified - Professional Data Engineer exam. Identify skill gaps and further areas of study and be pointed to appropriate target learning resources. The best preparation is real-world experience combined with training. Make certification your goal!
Data Scientists Track
Step
1
Google Cloud Platform Fundamentals: Big Data & Machine Learning
This course introduces participants to the big data capabilities of Google Cloud Platform.
Step
2
Machine Learning with TensorFlow on Google Cloud Platform
What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use-case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good generalizable solution using gradient descent and a thoughtful way of creating datasets?
Step
3
Advanced Machine Learning on Google Cloud Platform
Learn more in-depth concepts on how to build sophisticated, high-performance, production-ready machine learning models.
Get Google Cloud Certified as a Professional Data Engineer
This certification exam is designed to identify individuals who demonstrate proficiency with certain critical job tasks in designing, building, and managing data solutions with GCP. Real-world, hands-on experience is the best way to be ready for this certification exam
Take the practice exam
The practice exam will familiarize you with types of questions you may encounter on the certification exam and help you determine your readiness.