AI Solutions on Cisco Infrastructure Essentials
ტრენინგის კოდი
DCAIE
ხანგძლიობა
4 დღე, 32 საათი
კურსის აღწერა
მიზანი
მოთხოვნა
კურსის პროგრამა
კურსის აღწერა
Overview
The AI Solutions on Cisco Infrastructure Essentials (DCAIE) training covers the essentials of deploying, migrating, and operating AI solutions on Cisco data center infrastructure. You’ll be introduced to key AI workloads and elements, as well as foundational architecture, design, and security practices critical to successful delivery and maintenance of AI solutions on Cisco infrastructure.
This training, along with the Operate and Troubleshoot AI Solutions on Cisco Infrastructure (DCAIAOT) training, prepares you for the Implementing Cisco Data Center AI Infrastructure (300-640 DCAI) v1.0 exam. If passed, you earn the Cisco Certified Specialist – Data Center AI Infrastructure certification and fulfill the concentration exam requirement for the Cisco Certified Network Professional (CCNP) Data Center certification. This training also earns 34 Continuing Education (CE) credits toward recertification.
მიზანი
Who should attend:
- Network Designers
- Network Administrators
- Storage Administrators
- Network Engineers
- Systems Engineers
- Data Center Engineers
- Consulting Systems Engineers
- Technical Solutions Architects
- Cisco Integrators/Partners
- Field Engineers
- Server Administrators
- Network Managers
- Program Managers
- Project Managers
მოთხოვნა
Prerequisites
There are no prerequisites for this training. This is an essentials training that progresses from beginner to intermediate content. Familiarity with Cisco data center networking and computing solutions is a plus but not a requirement. However, the knowledge and skills you are recommended to have before attending this training are:
- Cisco UCS compute architecture and operations
- Cisco Nexus switch portfolio and features
- Data Center core technologies
These skills can be found in the following Cisco Learning Offerings:
კურსის პროგრამა
Outline
- Fundamentals of AI
- Generative AI
- AI Use Cases
- AI-ML Clusters and Models
- AI Toolset Mastery – Jupyter Notebook
- AI Infrastructure
- AI Workload Placements and Interoperability
- AI Policies
- AI Sustainability
- AI Infrastructure Design
- Key Network Challenges and Requirements for AI Workloads
- AI Transport
- Connectivity Models
- AI Network
- Architecture Migration to AI/ML Network
- Application-Level Protocols
- High Throughput Converged Fabrics
- Building Lossless Fabrics
- Congestive Visibility
- Data Preparation for AI
- AI/ML Workload Data Performance
- AI-Enabling Hardware
- Compute Resources
- Compute Resource Solutions
- Virtual Resources
- Storage Resources
- Setting Up AI Cluster
- Deploy and Use Open Source GPT Models for RAG
ტრენინგზე რეგისტრაცია
AI Solutions on Cisco Infrastructure Essentials
ტრენინგის კოდი:
DCAIE
ხანგძლიობა:
4 დღე, 32 საათი
