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Program Description In this course, we will learn about the basics of deep neural networks and their applications to various tasks. The course aim is to present the mathematical, statistical, and computational challenges of building stable representations for high-dnnensional data. This course teaches the important concepts and terminology for working with Google Cloud. The courses explain how cloud computing evolved and how the unique features of Google's approach to it. Course Objectives • Learn the tools required for building Deep Learning models. • Explore multiple architectures and understand how to fine-tune and continuously improve models • Leam how the same task can be solved using multiple Deep Learning approaches • Learn and compare many of the computing and storage services available in Google Cloud Platform • Learn about important resource and policy management tools used • Learn the skills needed to be successful in a cloud architecture role. Course Delivery Option: Classroom, Online/Distance Learning/Distance Learning Sequence and frequency of class sessions: Every 6 weeks Related Job Titles/Occupations Software Developers, Applications SCO Code 15-1132.00 Instruction Details Students will have significant familiarity with the subject and be able to apply Deep Learning to a variety of tasks. They will also be positioned to understand much of the current literature on the topic and extend their knowledge through further study. Students will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services. Students will be prepared to take the Google Cloud certification exam. Program In Duration: Course Name Clock Hours Duration Maximum Completion Time Deep Learning and Google Cloud 400 hours 20 weeks 30 weeks Pre -Requisite: Basic Computer Knowledge Instructional Material: Textbook Deep Learning (Adaptive Computation and Machine Learning series) Part of Adaptive Computation and Machine Learning series (21 Books) I by Ian Goodfellow, Yoshua Bengio, et al. Google Cloud Certified Professional Cloud Architect: Introducing Google Cloud (Third Edition) by Soumen Chatteriee Total Charges for Period of Attendance & Estimated charges for the entire program: $6,000.00 Tuition Fee: $5,225; Registration Fee: $75 (Non-refundable); Book- $200.00 Equipment: $500 Requirement for completing the program End of the program students is required to complete all the projects and lab work assigned during the program. Students will get the course completion certificate after completing the examination and the projects. Student may take flee Deep Learning and Google Cloud certification exams