About this course:

Artificial Intelligence (AI) and Machine Learning (ML) is a dominant trend in the enterprise with the ubiquity of large amounts of observed data, the rise of distributed computing frameworks, and the prevalence of large hardware-accelerated computing infrastructures. There are several compute platforms designed and purpose-built for Deep Learning (DL). These platforms should be storage and I/O-optimized to deliver industry-leading performance to speed up Deep Learning (DL) using neural networks and large data sets to train computers for complex tasks. The CIAI - Cisco Introduction to Artificial Intelligence instructor-led course introduces the learner to the Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) essentials in addition to compute platforms such as Cisco UCS, through a combination of lecture and hands-on labs.

Course Objective:

• Understand Big Data and Data Science concepts
• List and describe the concepts, major features, algorithms, and benefits of AL/ML/DL
• Use AL/ML/DL techniques, such as Neural Networks.
• Get familiar with Data Science and Infrastructure AI Tools and soft wares
• Describe the Cisco AI/ML/DL Computing Solutions Portfolio alignment
• Describe the Cisco UCS C480 ML M5 Deep Learning Server

Audience:

• Cisco Integrators/Partners
• Consulting Systems Engineers
• Technical Solutions Architects
• Data Center Administrators and Engineers
• Anyone interested in AI/ML/DL

Prerequisite:

The knowledge and skills that a learner should have before attending this course include:

• Understanding of server design and architecture.
• Familiarity with Cisco UCS, Storage, and Server Virtualization