Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
About this Course
Learner Career Outcomes
Learner Career Outcomes
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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TOP REVIEWS FROM MANAGING MACHINE LEARNING PROJECTS WITH GOOGLE CLOUD
Great for understanding the fundamentals of Machine Learning and its applicability. Hands-on learning provided in guided sessions within Google's Cloud Platform. No prior coding knowledge is required.
Apt level of coverage for business professionals and project managers. There were few advertisements for the google training which can be minimised by just referring and not going too much in detail.
An excellent course to understand the multiple use cases of Machine learning along with 3 Labs for hands-on training,that too,without any coding :-). One of the best courses available on Coursera.
The course provides context to Machine learning for the newbies in the best form it can! The hands-on experience it provides with various tools makes you feel equally involved in the course
About the Digital Transformation Using AI/ML with Google Cloud Specialization
This series of courses begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models.
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