About this Specialization
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
| From | Google Cloud via Coursera |
|---|---|
| Hours | 110 |
| Instructor | Google Cloud Training |
| Language | English |
| Subjects | Data Science Programming IT & Networking |
Similar Courses
Sorted by relevance
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
|
Jan |
End-to-End Machine Learning with TensorFlow on GCP In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization... Coursera | Google Cloud |
Save
|
|
Oct |
Production Machine Learning Systems This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online... Coursera | Google Cloud |
Save
|
|
Nov |
Computer Vision Fundamentals with Google Cloud This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from... Coursera | Google Cloud |
Save
|
|
Nov |
Natural Language Processing on Google Cloud This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. •... Coursera | Google Cloud |
Save
|
|
Nov |
Recommendation Systems with TensorFlow on GCP In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final... Coursera | Google Cloud |
Save
|
&
| From | Google Cloud via Coursera |
|---|---|
| Hours | 110 |
| Instructor | Google Cloud Training |
| Language | English |
| Subjects | Data Science Programming IT & Networking |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Similar Courses
Sorted by relevance
