Machine Learning Engineer
Possibility to buy vouchers to prepare for certification: Contact us
- Course on demand
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Get started in the fields of big data, machine learning and artificial intelligence. Get started with Google Cloud tools like BigQuery, Cloud Speech API, and AI Platform. Upon completion of the quest, you will be able to earn a Google Cloud skill badge.
Advanced Machine Learning with TensorFlow on Google Cloud Platform
This advanced course teaches you how to build scalable, reliable, and production-ready models for structured data, image data, time series, and natural language text, and concludes with building recommender systems. This content can also be taken as part of the Advanced Solutions Lab.
MLOps (Machine Learning Operations) Fundamentals
In this course, you will learn about MLOps tools and best practices for deploying, assessing, monitoring, and operating ML systems in production on Google Cloud. This course can also be taken as part of the Advanced Solutions Lab program.
ML Pipelines on Google Cloud
This course teaches you how to implement ML pipelines with continuous training and CI/CD practices to accelerate the development and deployment of your ML workflows, their automation, and their adaptability with your data on Google Cloud. This course can also be taken as part of the Advanced Solutions Lab program.
Build and Deploy Machine Learning Solutions on Vertex AI
Familiarize yourself with Vertex AI, AutoML, and custom training services. Learn how to use Vertex AI for new and existing ML workloads, and learn how to leverage AutoML, custom training, and new MLOps services to dramatically improve your development productivity and accelerate your return on investment.
Create Conversational AI Agents with Dialogflow CX
Learn how to create a conversational virtual agent, including how to: define intents and entities, use versions and environments, create conversational branching, and use IVR features.