Serverless Machine Learning with Tensorflow on Google Cloud Platform
Elevate your skills in Serverless Machine Learning with TensorFlow on Google Cloud Platform! Explore the seamless integration of AI and cloud computing for powerful machine learning applications. #ServerlessML #GoogleCloud #TensorFlow #AIInstitute ▼
ADVERTISEMENT
Course Feature
Cost:
Paid
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
27th Jan, 2020
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 31st, 2023]
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
Participants of this course will acquire skills and knowledge in designing and building machine learning models on Google Cloud Platform. They will learn concepts of machine learning (ML) and TensorFlow, and develop hands-on skills in developing, evaluating, and productionizing ML models. Participants should have completed Google Cloud Fundamentals- Big Data and Machine Learning course or have equivalent experience, basic proficiency with common query language such as SQL, experience with data modeling extract transform load activities, developing applications using a common programming language such Python, and familiarity with Machine Learning and/or statistics.
lHow does this course contribute to professional growth?
This course provides professionals with the opportunity to gain hands-on experience in designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants will learn machine learning (ML) and TensorFlow concepts and develop the skills necessary to develop, evaluate, and productionize ML models. This course will help professionals gain the knowledge and skills necessary to identify use cases for machine learning, build an ML model using TensorFlow, build scalable deployable ML models using Cloud ML, understand the importance of preprocessing and combining features, incorporate advanced ML concepts into their models, and productionize trained ML models.
Is this course suitable for preparing further education?
It is suggested that participants of this course have completed the Google Cloud Fundamentals- Big Data and Machine Learning course or have equivalent experience, basic proficiency with common query language such as SQL, experience with data modeling extract transform load activities, developing applications using a common programming language such Python, and familiarity with Machine Learning and/or statistics. Therefore, this course is suitable for preparing further education.
Course Provider
Provider Coursera's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Serverless Machine Learning with Tensorflow on Google Cloud Platform