Google Cloud Machine Learning Engineer Certificate Prep
Master Google Cloud ML engineering with hands-on training. Prepare for certification and learn to build, deploy, and scale ML models in production.
Master Google Cloud ML engineering with hands-on training. Prepare for certification and learn to build, deploy, and scale ML models in production.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Preparing for Google Cloud Machine Learning Engineer Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Learn to design and implement production-ready ML systems
Master Google Cloud's ML tools and services
Develop skills for the Professional ML Engineer certification
Build and deploy scalable ML models using Vertex AI
Implement MLOps practices for continuous delivery
Gain hands-on experience with TensorFlow and BigQuery ML
Skills you'll gain
This course includes:
80 Hours PreRecorded video
Hands-on labs using Qwiklabs platform
Access on Mobile, Desktop, Tablet
FullTime access
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There are 6 courses in this program
Securing, Monitoring, and Scaling Kubernetes Clusters
Course 1 · 12 Hours to complete · 3 modules
MBA in Consultancy Management
Course 2 · 2 Years to complete
M.Tech. Design Engineering - BITS Pilani
Course 3 · 2 Years to complete
Security Management and Governance
Course 4 · 20 Hours to complete · 4 modules
Cybercrime
Course 5 · 25 Hours to complete · 4 modules
Introduction to Digital Transformation: Change & Disruption
Course 6 · 19 Hours to complete · 5 modules
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