TechMaster - Deep Learning Fundamentals
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Course
TechMaster - Deep Learning Fundamentals
Discover what deep learning is and how it is used. Explore the concept of neural networks and learn about MapReduce, Hadoop, and YARN.
Take your first step in the fascinating world of deep learning and build sought-after skills in an important emerging technology.
Self-Paced
Mentored
Beginner
This course is part of a program:
It is not possible to enroll for individual courses on this program. If you wish to take this course, please enroll for the full program.
Deep learning enables businesses to convert large data sets into useful information and insights. It can help businesses grow, improve customer experience, and boost retention. As a branch of machine learning, deep learning applications are used in everything from self-driving cars to cancer detection monitors. Thus, within the field of artificial intelligence, deep learning is a sought-after discipline thats growing significantly in demand.
This course introduces you to deep learning and provides you with a thorough understanding of what it is and how it is used. You will explore the concept of neural networks, and you will learn about MapReduce model v1. You will consider the limitations of Hadoop 1 and MapReduce 1. You will look at the Java code required to handle the Mapper class, the Reducer class, and the program driver, YARN model. Plus, you will compare YARN, Hadoop 2, and MR2 with Hadoop 1 and MR1.
Overall, this course will take you through a holistic approach to deep learning that will address fundamental questions about deep learning is and why it matters. If you are looking to build skills in this important niche of artificial intelligence, Deep Learning Fundamentals will provide you with the ideal start you need.
This IBM certified course comprises four purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2-3 hours per week, you will complete the course in 2 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.
Once you have successfully completed the course, you will earn your IBM Certificate.
After completing this course, you will be able to:
- MapReduce model v1.
- The limitations of Hadoop 1 and MapReduce 1.
- The Java code required to handle the Mapper class, the Reducer class, and the program driver.
- YARN model.
- Comparison between YARN / Hadoop 2 / MR2 vs Hadoop 1 / MR1.
- Machine learning engineers
- Data scientists
- Business intelligence analysts
- Data quality analysts
- Individuals keen to build their skills in deep learning