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Updated in [August 31st, 2023]

What does this course tell?
(Please note that the following overview content is from Alison)
This will be an applied Machine Learning Course jointly offered by Google and IIT Madras We will cover the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part After this course the students will be able to build ML models using Tensorflow
INTENDED AUDIENCE:
Any Interested Candidates
PREREQUISITES:
Programming in Python Data Mining or Machine Learning or Data Science

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?
Upon completion of this course, students will acquire the skills and knowledge to build ML models using Tensorflow. They will gain an understanding of the basics of Tensorflow and Machine Learning, as well as advanced topics. Additionally, they will gain an understanding of the fundamentals of Python programming, Data Mining, Machine Learning, and Data Science.
lHow does this course contribute to professional growth?
This course contributes to professional growth by providing students with the knowledge and skills necessary to build ML models using Tensorflow. The course covers the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After completing this course, students will have a better understanding of the fundamentals of Machine Learning and Tensorflow, and will be able to apply their knowledge to create ML models. This course is ideal for any interested candidates who have a background in programming in Python, Data Mining, Machine Learning, or Data Science.

Is this course suitable for preparing further education?
This course is suitable for preparing further education as it covers the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After completing this course, students will be able to build ML models using Tensorflow. The intended audience for this course is any interested candidates and the prerequisites are programming in Python, Data Mining, Machine Learning, or Data Science.