Implementing Cisco Data Center AI Infrastructure (DCAI)
Retail Price: $4,395.00
Next Date: 04/13/2026
Course Days: 5
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The Implementing Cisco Data Center AI Infrastructure (DCAI) training is designed to equip professionals with the skills to support, secure, and optimize AI workloads within modern data center environments. This comprehensive program delves into the unique characteristics of AI/ML applications, their influence on infrastructure design, and best practices for automated provisioning. Participants will gain in-depth knowledge of security considerations for AI deployments and master day-2 operations, including monitoring and advanced troubleshooting techniques such as log correlation and telemetry analysis. Through hands-on experience, including practical application with tools like Splunk, learners will be prepared to efficiently monitor, diagnose, and resolve issues in AI/ML-enabled data centers, ensuring optimal uptime and performance for critical organizational workloads.
This training prepares you for the 300-640 DCAI v1.0 exam. If passed, you earn the Cisco Certified Specialist - Data Center AI Infrastructure certification and satisfy the concentration exam requirement for the Cisco Certified Network Professional (CCNP) Data Center certification. This training also earns you 38 Continuing Education (CE) credits toward recertification. This training combines content from Operate and Troubleshoot AI Solutions on Cisco Infrastructure (DCAIAOT) and AI Solutions on Cisco Infrastructure Essentials (DCAIE) training.
How You'll Benefit
This training will help you:
Acquire comprehensive skills to support, secure, and optimize AI workloads within modern data center environments
Understand the design, implementation, and advanced troubleshooting of AI infrastructure, including network challenges and specialized hardware
Gain in-depth knowledge of AI/ML concepts, generative AI, and their practical application in network management and automation
Apply hands-on techniques for monitoring, diagnosing, and resolving issues, leveraging tools like Splunk and utilizing AI for enhanced productivity in network operations
Prepare for the 300-640 DCAI v1.0 exam
Earn 38 CE credits toward recertification
Fundamentals of AI
Generative AI
AI Use Cases
AI-ML Clusters and Models
AI Toolset—Jupyter Notebook
AI Infrastructure
AI Workloads Placement 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
Congestion 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
AI Infrastructure Operations and Monitoring
Troubleshooting AI Infrastructure
Troubleshoot Common Issues in AI/ML Fabric
Lab Outline
AI Toolset—Jupyter Notebook
AI/ML Workload Data Performance
Setting Up AI Cluster
Deploy and Use Open Source GPT Models for RAG
Troubleshoot Common Issues in AI/ML Fabric
| Course Dates | Course Times (EST) | Delivery Mode | GTR | |
|---|---|---|---|---|
| 4/13/2026 - 4/17/2026 | 10:00 AM - 6:00 PM | Virtual | Enroll | |
| 6/1/2026 - 6/5/2026 | 10:00 AM - 6:00 PM | Virtual | Enroll | |
| 8/3/2026 - 8/7/2026 | 10:00 AM - 6:00 PM | Virtual | Enroll | |
| 10/19/2026 - 10/23/2026 | 10:00 AM - 6:00 PM | Virtual | Enroll | |
| 12/14/2026 - 12/18/2026 | 10:00 AM - 6:00 PM | Virtual | Enroll |