Google Professional Machine Learning Engineer Certifications

Detailed Machine Learning content from Beginners to Advanced to clear Professional ML Engineer certifications Exam

Greetings Machine Learning Lerner’s !

What you’ll learn

  • Machine Learning Engineer on Cloud.
  • Machine Learning Core Concepts.
  • Foundations for AI.
  • Google Cloud Machine Learning Services.

Course Content

  • Introduction to Machine Learning –> 25 lectures • 4hr 24min.
  • Introduction to Google Cloud Platform –> 9 lectures • 1hr 26min.
  • Introduction to Machine Learning on GCP –> 8 lectures • 1hr 20min.
  • Googles Professional Machine Learning Engineer Certifications –> 1 lecture • 2min.
  • Section 1: Architecting low-code ML solutions –> 8 lectures • 57min.
  • Section 2: Collaborating within and across teams to manage data and Models –> 5 lectures • 40min.
  • Section 3: Scaling prototypes into ML models –> 5 lectures • 31min.
  • Section 4: Serving and Scaling Models –> 3 lectures • 23min.
  • Section 5: Automating and Orchestrating ML pipelines –> 3 lectures • 19min.
  • Section 6.0 Monitoring ML Solutions –> 4 lectures • 20min.

Google Professional Machine Learning Engineer Certifications

Requirements

Greetings Machine Learning Lerner’s !

We have 450,000+ Subscriptions & 323,000 Unique Students for Google Cloud Platform Certifications making us “No 1 Training  for Google Cloud Platform on Udemy”

 

The structure of this course

– Aligns exact syllabus to training materials (final section is still under progress)

– Detail theory as well as demos

– Syllabus coverage Analysis for every section

 

Covers Introduction to ML and Course syllabus so that you don’t have to look anywhere else.

Introduction to ML

Introduction to GCP

ML on GCP

Certification Details

 

Remaining sections are one-to-one mapping with Google certification outline for Certification -> Professional Machine Learning Certifications covers all sections in exam

  • Architect low-code AI solutions
  • Collaborate within and across teams to manage data and models
  • Scale prototypes into ML models
  • Serve and scale models
  • Automate and orchestrate ML pipelines
  • Monitor AI solutions

The majority of IT professionals around the world hold at least one certification. The Global Knowledge 2024 IT Skills and Salary Report found that 85% of IT professionals hold at least one certification and that 66% of these professionals intend to acquire a new certification this year.

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Thank You

GCP Gurus

 

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