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Machine Learning, Data Science and Deep Learning Program Description This package provides an understanding of the foundations of data science and its applications and a broad introduction to machine learning and algorithms and learns how the data science process can be used to address business problems. In this course, you will also 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 -dimensional data. Course Objectives • Design one or more services or applications within an organization • Understand the processes of the business well for creating a cohesive product vision. • Responsible for building and integration of computer systems and information for meeting specific needs • Learn the tools required for building Deep Learning models. • Explore multiple architectures and understand how to fine-tune and continuously improve models • Learn how the same task can be solved using multiple Deep Learning approaches • How machine learning uses algorithms to search for patterns in data • Learn the principles of machine learning and the importance of algorithms. • Understanding of machine learning Learn how complex data can be harnessed to grow and scale an organization 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 The courses will discuss the recent applications of machine learning, such as robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. The course will teach how to develop your planning and strategy skills by implementing a data science project. The course will teach students how to transform their businesses using the cloud. The students will able to learn how to secure a cloud computing service platform, its advantages on functionality to help businesses scale and grow. Students will also loam to run web and application servers in the cloud to host dynamic websites. 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. Program In Duration: Course Name Clock Hours Duration Maximum Completion Time Machine Learning, Data Science and Deep Learning 540 hours 27 weeks 40.5 weeks Pre -Requisite: Basic Computer Knowledge 96