Course Overview
In this 2-day course, Cisco Introduction to Artificial Intelligence (CIAI) v1.0, we will introduce the learner to the Artificial Intelligence, Machine Learning, and Deep Learning essentials in addition to compute platforms such as Cisco UCS, through a combination of lecture and hands-on labs. Artificial Intelligence (AI) and Machine Learning (ML) are opening up new ways for enterprises to solve complex problems, but they will also have a profound effect on the underlying infrastructure and processes of IT. AI/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 infrastructure became essential.
Who should attend
The primary audience for this course is as follows:
- Cisco Integrators/Partners
- Consulting Systems Engineers
- Technical Solutions Architects
- Data Center network professionals (including designers, Administrators, and Engineers), and anyone interested in AI/ML/DL
Prerequisites
The knowledge and skills that the learner should have before attending this course are as follows:
- Understanding of server design and architecture
Course Objectives
Upon completing this course, the learner will be able to meet these overall objectives:
- Understanding Big Data and Data Science concepts
- List and describe the concepts, major features, algorithms, and benefits of AI/ML/DL
- Use AI/ML/DL techniques, such as Neural Networks
- Get familiar with Data Science and Infrastructure AI Tools and software
- Describe the Cisco AI/ML/DL Computing Solutions Portfolio alignments
Course Content
- Data and AI/ML/DL Fundamentals
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning (DL)
- Neural Networks
- NLP / NLU
- Kubernetes
- AI Server Requirements
- Data Science and Infrastructure AI Tools