AI Fundamentals and Cisco AI-Ready Infrastructure – 2 days (AI-PW2)
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Overview
Description, Pre requisites -
Content
Lessons, Course Structure
Artificial intelligence (AI) is a major focus in all the sectors of industry and government. It is a rapidly evolving space with many advanced features that provide greater insight, knowledge and operational efficiencies in many areas of operation.
Many businesses have indicated that AI is a strategic objective, but few have advanced to implementation and use.
The aim of this session is not to explore the depths of AI but to understand the landscape and how Cisco is evolving as an industry player in both offering products that use AI as well as providing AI ready infrastructures.
The session is broken down into two parts: Presales and Presales Technical
Presales Objectives
- This is aimed at providing an overview of the AI space and how Cisco is positioning itself in the evolving market
- This will include products as well as partnerships with other key players to create a framework for AI based around Cisco infrastructure
Presales Technical Objectives
- This is a more detailed look at the technologies that form the AI landscape and how Cisco infrastructure and ecosystem interact
Target audience:
Presales
- Account managers
- Internal Sales
- Presales SEs
- IT managers
Presales Technical
- IT Architects
- Presales SEs
- Network Engineers
- Server Administrators
Pre-requisite skills:
- Network Admin skills
- Understanding of programming logic
- Conceptual understanding of VM and containers
- Basic knowledge of Cisco UCS server environment
- Basic Linux overview
Duration:
Presales: Half day
Presales Technical: 2 days
Part 1 – Presales and Presales Technical
Module 1-1: AI Overview
Introduction to AI
- Changing Landscape
- why AI is relevant
- Impact on DC
- AI Overview
- History of AI
- Is AI useful
- Who will use AI
- AI Use Cases
- Choosing An AI system
- AI Enhancement
- AI Adaptation
- Demo
Module 1-2: Cisco AI
- AI Factory
- The Anatomy of an AI system
- Cisco AI infrastructure Overview
- Cisco Hosts
- Cisco Connectivity – AI POD
- Cisco Connectivity – Hyperfabric AI
- Cisco AI Security Overview
- Cisco AI Security Smart Switches
- Host and OS Security
- Cisco Partnerships
- NVIDIA
- RedHat
- Storage Partners
- Opensource Community
- Demo
Part 2 – Presales Technical
Module 2-1: Hyperfabric Overview
- Architecture and components
- Fabric Lifecycle Management
- Configuration overview
- Labs
Module 2-2: Cisco UCS and Intersight
- Intersight overview
- Intersight Policies and Profiles
- UCS Deployment
- Labs
Module 2-3: GPUs and Models
- GPU Archtecture overview
- Models Characteristics
- Cisco GPU support
- GPU Clustering
- GPU Sharing
- Lab
Module 2-4: Kubernetes and RedHat OpenShift
- Overview of Containers
- Overview of Kubernetes
- OpenShift Container Platform Overview
- OpenShift AI Overview
- AI workbench
- Labs
Module 2-5: AI Deployment and NVIDIA Software
- Overview of AI deployment
- Sourcing Pretrained models
- Building simple AI environment
- NIM provisioning
- Client access and APIs
- Labs