Google Cloud offers one of the best courses in Machine Learning “Machine Learning with TensorFlow” in collaboration with the online education platform Coursera.
You can learn Machine Learning with Google Cloud and gain real-world experimentation with end-to-end ML.
This specialization will show you the basic skills of ML, which are good judgment and experimentation to coordinate and optimize the ML model to get the best performance.
You will learn how to configure it manually to see the impact on model performance.
After with the hyperparameters, you will learn how to coordinate it automatically using the cloud ML Machine in the Google Cloud Platform.\
Machine Learning with TensorFlow on Google Cloud Platform Specialization Review 2024
How Machine Learning with TensorFlow on Google Cloud Platform Coursera Works
Machine Learning with TensorFlow on Google Cloud Platform Specialization Coursera is arranged like this,
Students Enrolled: 90k+
Rating: 4.6 out of 5.0
Requirements to Take Machine Learning with TensorFlow on Google Cloud Platform Specialization
No prior knowledge of Cloud, Machine Learning, or TensorFlow is required for this Specialization. But some basic understanding definitely helps you to understand the whole concept clearly.
You are suggested to gain the basics of, Basic SQL, familiarity with Python and TensorFlow
Machine Learning with TensorFlow on Google Cloud Platform Scale-up Your Skill in
- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Application Programming Interfaces (API)
- Inclusive MLGoogle Cloud Platform
- BigqueryData Cleansing
- Python Programming
- Build Input Data Pipelinekeras
Courses in Machine Learning with TensorFlow on Google Cloud Platform Coursera
This online specialization is breakdown into several parts. There are 5 Courses in this Specialization.
Course-1: How Google does Machine Learning (Rating 4.6/5)
Course-2: Launching into Machine Learning (Rating 4.6/5)
Course-3: Introduction to TensorFlow (Rating 4.4/5)
Course-4: Feature Engineering (Rating 4.5/5)
Course-5: Art and Science of Machine Learning (Rating 4.6/5)
Earn a Career Credential
When you finish every course and complete the hand on project, you’ll earn a Certificate that you can share with prospective employers and your professional network.
This online specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the specialization and earn your certificate.
These Career Credentials will help you to unlock access to work in top universities and organizations as well as you can get a chance to get a career credential from the world’s best educational institution.
Career in Machine Learning with TensorFlow on the Google Cloud Platform
Starting a career in Machine Learning with TensorFlow opens doors to a great career.
Here are some possible job opportunities for you:
Coursera Subscription
If you want to begin, enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. The duration of this online specialization is 17 weeks long, 7 hours a week.
When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization.
You can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
You get access to all of the courses in the specialization when you enroll in the course, and you earn a certificate when you complete the work.
If you only want to read and view the course content, you can audit the course for free.
This specialization is not free, but you can apply for financial aid to get it free.
You can get a 7-day trial period for free. After that, the course series costs $79 per month. You can move through it at your own pace.
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Farzana Ahmed Sabera, a digital marketing strategist and a dynamic individual with a passion for writing, deep understanding of diverse subjects. Done several research works focused on Digital Image Processing. Published research paper on International Journal. Always love to work with new technologies.
