End-to-End Machine Learning with TensorFlow on GCP
- 4.5
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Approx. 13 hours to complete
Course Summary
Learn how to build and deploy machine learning models using TensorFlow and Google Cloud Platform in this comprehensive course.Key Learning Points
- Learn how to build end-to-end machine learning pipelines using TensorFlow and GCP.
- Gain practical experience in building and deploying machine learning models.
- Learn how to scale and optimize machine learning models for production use.
Related Topics for further study
- TensorFlow
- Machine Learning Pipelines
- Deploying Machine Learning Models
- Scaling Machine Learning Models
- Optimizing Machine Learning Models
Learning Outcomes
- Create end-to-end machine learning pipelines using TensorFlow and GCP.
- Implement best practices for building and deploying machine learning models.
- Scale and optimize machine learning models for production use.
Prerequisites or good to have knowledge before taking this course
- Basic programming experience in Python.
- Understanding of fundamental machine learning concepts.
Course Difficulty Level
IntermediateCourse Format
- Online Course
- Self-paced
- Video Lectures
- Hands-on Projects
Similar Courses
- Applied Data Science with Python
- Data Engineering on Google Cloud Platform
- Data Analysis with Python
Related Education Paths
- Google Cloud Certified - Professional Data Engineer
- Google Cloud Certified - Associate Cloud Engineer
Related Books
Description
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).
Outline
- Welcome to the Course
- Intro to Specialization
- Course Introduction
- How to Send Feedback
- Machine Learning (ML) on Google Cloud Platform (GCP)
- Effective ML
- Fully managed ML
- Explore the Data
- Exploring the dataset
- BigQuery
- BigQuery and AI Platform Notebooks
- Getting Started with Google Cloud Platform and Qwiklabs
- Lab 1 Intro : Exploring the dataset
- Lab 1 demo and review
- AI Platform Notebooks
- Create the dataset
- Creating a dataset
- Lab 2 Intro : Create a sample dataset
- Lab 2: demo and review
- Module Quiz
- Build the Model
- Build the model
- Lab 3 Intro : Creating a TensorFlow model
- Lab 3 : demo and review
- Module Quiz
- Operationalize the model
- Operationalizing the model
- Lab 4 Intro : Preprocessing with Cloud Dataflow
- Lab 4 demo and review
- Cloud AI Platform
- Train and deploy with Cloud AI Platform
- Lab 5 : Training on Cloud AI Platform
- Lab 5 demo and review
- BigQuery ML
- Lab Introduction
- Lab Solution BigQuery ML
- Deploying and Predicting with Cloud AI Platform
- Lab 6 Intro : Deploying and Predicting with Cloud AI Platform
- Lab 6 : demo and review
- Cloud AI Platform
- Module Quiz
- Module Quiz
- Summary
- Summary
Summary of User Reviews
Discover how to build and deploy machine learning models using TensorFlow and Google Cloud Platform in this comprehensive course. Students rave about the practical hands-on exercises and the clear explanations provided by the instructor.Key Aspect Users Liked About This Course
The hands-on exercises are praised by many users for providing practical experience in building and deploying machine learning models.Pros from User Reviews
- Clear explanations provided by the instructor.
- Great practical exercises that give hands-on experience.
- Content is up-to-date and relevant.
- Excellent introduction to TensorFlow and Google Cloud Platform.
- Good pacing and structure of the course.
Cons from User Reviews
- Some users found the course challenging and would have liked more detailed explanations in some areas.
- A few users felt that the course could have been longer to cover more advanced topics.
- Not suitable for beginners with no prior experience in machine learning or programming.
- Some users experienced technical difficulties with the platform.
- Lack of interaction with the instructor or other students in the course.
Google Cloud Training
4.5 Raiting
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End-to-End Machine Learning with TensorFlow on GCP
- 4.5
-
![]()
![]()
![]()
![]()
![]()
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www....
