The "AI Solutions on Cisco Infrastructure Essentials (DCAIE)" course covers the fundamentals of deploying, migrating and operating AI solutions on Cisco Data Center infrastructure. You will learn key AI workloads and elements as well as basic architecture, design and security practices that are critical to the successful deployment and maintenance of AI solutions on Cisco infrastructure.

Course Contents

  • 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 

E-Book Symbol You will receive the original course documentation from Cisco in English language as a Cisco E-Book. In the Cisco Digital Learning Version, the content of the courseware is integrated into the learning interface instead.

Request in-house training now

Target Group

  • Network Designer
  • 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

Knowledge Prerequisites

There are no prerequisites for this training. However, it is recommended that you have the following knowledge and skills before attending this training course:</p

  • Cisco UCS computing architecture and operation
  • Cisco Nexus switch portfolio and features
  • Core technologies for data centers

Course Objective

Participants will gain fundamental knowledge of deploying, migrating and operating AI solutions on Cisco Data Center infrastructures - including architecture, security, network design and practical application of AI workloads, tools and models.

Complementary and Continuative Courses

DCAIAOT – Operate and Troubleshoot AI Solutions on Cisco Infrastructure
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
Zertifizierungen Symbol You are interested in a certification? The course at hand is part of the following certification(s):

Certification as Cisco Data Center AI Infrastructure Specialist - Exam available from February 9,2026

Classroom training

Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.

Cisco Digital Learning

This course is available in the Cisco Digital Learning Library. These recently developed, multi-modal training events include HD videos moderated by lecturers with stored searchable text and subtitles, as well as a exercises, labs, and explanatory text and graphics. We provide this offer to you via our myExperTeach learning portal. Effective of the activation of the account, access to the courses will be granted for a duration of 6 months. In the case of packet solutions (Cisco Digital Learning Subscriptions), this time period will amount to 12 months.

Tailor-made courses

You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request in-house training now
PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.

The "AI Solutions on Cisco Infrastructure Essentials (DCAIE)" course covers the fundamentals of deploying, migrating and operating AI solutions on Cisco Data Center infrastructure. You will learn key AI workloads and elements as well as basic architecture, design and security practices that are critical to the successful deployment and maintenance of AI solutions on Cisco infrastructure.

Course Contents

  • 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 

E-Book Symbol You will receive the original course documentation from Cisco in English language as a Cisco E-Book. In the Cisco Digital Learning Version, the content of the courseware is integrated into the learning interface instead.

Request in-house training now

Target Group

  • Network Designer
  • 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

Knowledge Prerequisites

There are no prerequisites for this training. However, it is recommended that you have the following knowledge and skills before attending this training course:</p

  • Cisco UCS computing architecture and operation
  • Cisco Nexus switch portfolio and features
  • Core technologies for data centers

Course Objective

Participants will gain fundamental knowledge of deploying, migrating and operating AI solutions on Cisco Data Center infrastructures - including architecture, security, network design and practical application of AI workloads, tools and models.

Complementary and Continuative Courses

DCAIAOT – Operate and Troubleshoot AI Solutions on Cisco Infrastructure

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

Zertifizierungen Symbol You are interested in a certification? The course at hand is part of the following certification(s):

Certification as Cisco Data Center AI Infrastructure Specialist - Exam available from February 9,2026

Classroom training

Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.

Cisco Digital Learning

This course is available in the Cisco Digital Learning Library. These recently developed, multi-modal training events include HD videos moderated by lecturers with stored searchable text and subtitles, as well as a exercises, labs, and explanatory text and graphics. We provide this offer to you via our myExperTeach learning portal. Effective of the activation of the account, access to the courses will be granted for a duration of 6 months. In the case of packet solutions (Cisco Digital Learning Subscriptions), this time period will amount to 12 months.

Tailor-made courses

You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request in-house training now

PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.