The ESOCMS02326: Artificial Intelligence and Machine Learning training course provides a detailed description about the technical and operational aspect of AI and ML and helps the learners to understand the concepts of AI, ML, neural network, reinforcement learning, NLP and artificial ecosystem. It also provides a detailed description about the need of AI ready infrastructure, AI and ML frameworks, implemented machine learning models, and use cases across the industry.

The offering is an engaging mix of key technologies, case examples, and business insights. The course includes recorded lab exercise demonstrations explaining the techniques of machine learning, neural network, reinforcement learning, and infrastructure in detail.

This ES722OCMDSBDA: Data Science and Big Data Analytics v2 course provides practical foundation level training that enables immediate and effective participation in Big Data and other analytics projects. It includes an introduction to Big Data and the data analytics lifecycle to address business challenges that leverage Big Data.

The course provides grounding in basic and advanced analytic methods and an introduction to Big Data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist.

The course takes an “open”, or technology-neutral approach and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the data analytics lifecycle. The course prepares the student for the Dell EMC Proven™ Professional Data Scientist Associate (EMCDSA) certification exam.