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End-to-End Machine Learning with TensorFlow on GCP

Google Cloud Training
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Recapitulates fundamentals to review prior knowledge in machine learning
Provides hands-on practice through an end-to-end workshop format
Assumes basic proficiency in SQL, Python, and TensorFlow
Meant for learners who want to refresh their understanding of machine learning concepts
Suitable for practicing end-to-end machine learning using Google Cloud Platform
Useful for reinforcing machine learning concepts learned in previous courses

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Reviews summary

Machine learning on gcp

This workshop by Google will guide you through building full end-to-end machine learning models using TensorFlow on Google Cloud Platform. Some basic knowledge of SQL, familiarity with Python and TensorFlow are recommended prerequisites.
The instructors were praised for their clear explanations and engaging presentations.
"I would like to thank Lak and Chris for their wonderful presentation of the deployment of ML models on the Google Cloud Platform."
"Lak is a really excellent presenter, and that Chris and the other guy are also pretty good."
Overall, this course is well-structured and offers a practical approach to ML on GCP.
"Excellent certification course on Google Cloud Platform and it's application with Advanced Machine Learning"
"This course introduces the basic steps of working a ml project on gcp"
"It has great content for the lectures and a great introduction to GCP to make a production machine learning service."
Learn by doing in this hands-on workshop format.
"So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform"
Several learners reported confusion and issues with the labs, including outdated instructions and lack of guidance.
"The labs are either too easy or such that there isn't enough information to find out the answers unless you really do arbitrary try and error."
"The labs were out of sync with the reviews and the code was either 100% complete or 0% complete, there wasn't much of an opportunity to learn."
Some learners found the content to be outdated, especially in the labs.
"This course was created in end of 2019. It will be much better to update the lab materials to Tensorflow 2.0 and use Keras abstraction."
"Really, really poor due to the fact that it's outdated to the point being broken in various ways."

Activities

Coming soon We're preparing activities for End-to-End Machine Learning with TensorFlow on GCP. These are activities you can do either before, during, or after a course.

Career center

Learners who complete End-to-End Machine Learning with TensorFlow on GCP will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
The course 'End-to-End Machine Learning with TensorFlow on GCP' provides a solid foundation for those seeking a career as a Machine Learning Engineer. This course covers essential concepts in machine learning, including data preparation, model training, and deployment on Google Cloud Platform. With hands-on experience in building and deploying machine learning models, this course prepares learners to enter the field and excel in this rapidly growing industry.
Data Scientist
Individuals pursuing a career as a Data Scientist will find the course 'End-to-End Machine Learning with TensorFlow on GCP' highly beneficial. This course covers fundamental principles of machine learning and practical skills in data analysis and modeling using TensorFlow on Google Cloud Platform. By completing this course, learners gain valuable experience in handling large datasets, building predictive models, and communicating insights effectively, which are crucial skills for success in the field of data science.
Software Engineer
For those aspiring to become Software Engineers with a specialization in machine learning, the course 'End-to-End Machine Learning with TensorFlow on GCP' offers a comprehensive introduction to the field. This course provides hands-on experience in developing and deploying machine learning models using TensorFlow on Google Cloud Platform. By gaining proficiency in these technologies, learners can enhance their software engineering skills and become valuable assets in the tech industry.
Cloud Engineer
Individuals seeking a career as Cloud Engineers will benefit from the course 'End-to-End Machine Learning with TensorFlow on GCP'. This course provides practical experience in deploying and managing machine learning models on Google Cloud Platform. By understanding the principles of cloud computing and gaining hands-on experience in deploying machine learning applications, learners can prepare for a successful career in cloud engineering.
Data Analyst
For those pursuing a career as a Data Analyst, the course 'End-to-End Machine Learning with TensorFlow on GCP' offers valuable knowledge and skills. This course covers data analysis techniques and provides hands-on experience in using TensorFlow on Google Cloud Platform to build and deploy machine learning models. By completing this course, learners gain a competitive edge in the field of data analytics and can contribute effectively to data-driven decision-making.
Machine Learning Researcher
Those interested in becoming Machine Learning Researchers will find the course 'End-to-End Machine Learning with TensorFlow on GCP' beneficial. This course provides a solid foundation in machine learning principles and hands-on experience in using TensorFlow on Google Cloud Platform. Through this course, learners can develop research skills in machine learning, explore advanced topics, and contribute to the field's advancement.
Artificial Intelligence Engineer
For individuals seeking a career as Artificial Intelligence Engineers, the course 'End-to-End Machine Learning with TensorFlow on GCP' provides a strong foundation. This course covers fundamental AI principles and practical experience in building and deploying machine learning models using TensorFlow on Google Cloud Platform. By completing this course, learners gain the necessary skills to develop and implement AI solutions, enabling them to succeed in this rapidly growing field.
Business Intelligence Analyst
Aspiring Business Intelligence Analysts can benefit from the course 'End-to-End Machine Learning with TensorFlow on GCP'. This course covers data analysis techniques and provides hands-on experience in using TensorFlow on Google Cloud Platform to build and deploy machine learning models. By gaining proficiency in these areas, learners can enhance their ability to analyze business data, derive meaningful insights, and support data-driven decision-making.
Data Engineer
For those pursuing a career as a Data Engineer, the course 'End-to-End Machine Learning with TensorFlow on GCP' offers valuable knowledge and skills. This course covers data engineering principles and provides hands-on experience in using TensorFlow on Google Cloud Platform to build and deploy machine learning models. By gaining proficiency in these areas, learners can contribute to the development and maintenance of data pipelines, ensuring the availability and integrity of data for machine learning applications.
Quantitative Analyst
Individuals seeking a career as Quantitative Analysts may find the course 'End-to-End Machine Learning with TensorFlow on GCP' helpful. This course provides a foundation in machine learning principles and hands-on experience in using TensorFlow on Google Cloud Platform. Through this course, learners can develop skills in data analysis, model building, and risk assessment, which are valuable in the field of quantitative finance.
Product Manager
For those aspiring to become Product Managers with a focus on data-driven products, the course 'End-to-End Machine Learning with TensorFlow on GCP' offers valuable knowledge and skills. This course provides an understanding of machine learning principles and hands-on experience in using TensorFlow on Google Cloud Platform. By gaining proficiency in these areas, learners can effectively collaborate with engineering teams, understand user needs, and drive the development of innovative data-driven products.
Risk Manager
Individuals pursuing a career as Risk Managers may find the course 'End-to-End Machine Learning with TensorFlow on GCP' helpful. This course provides a foundation in machine learning principles and hands-on experience in using TensorFlow on Google Cloud Platform. Through this course, learners can develop skills in data analysis, model building, and risk assessment, which are valuable in the field of risk management.
Economist
For those seeking a career as Economists, the course 'End-to-End Machine Learning with TensorFlow on GCP' may offer some relevance. This course provides a foundation in machine learning principles and hands-on experience in using TensorFlow on Google Cloud Platform. While economists typically focus on economic models and data analysis, gaining proficiency in machine learning techniques can enhance their ability to analyze complex economic data and develop more accurate models.
Statistician
For those seeking a career as Statisticians, the course 'End-to-End Machine Learning with TensorFlow on GCP' offers valuable knowledge and skills. This course provides a foundation in machine learning principles and hands-on experience in using TensorFlow on Google Cloud Platform. Through this course, learners can develop skills in data analysis, model building, and statistical inference, which are essential in the field of statistics.
Financial Analyst
Individuals pursuing a career as Financial Analysts may find the course 'End-to-End Machine Learning with TensorFlow on GCP' helpful. This course provides a foundation in machine learning principles and hands-on experience in using TensorFlow on Google Cloud Platform. Through this course, learners can develop skills in data analysis, model building, and financial forecasting, which are valuable in the field of financial analysis.

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