Implementing Cisco Data Center AI Infrastructure
The Implementing Cisco Data Center AI Infrastructure (DCAI) course 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 is worth 38 Continuing Education (CE) Credits.
Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
6 courses found
-
- Delivery Format: Virtual Learning
- Date 30 November-04 December, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
-
- Delivery Format: Virtual Learning
- Date 08-12 February, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
-
- Delivery Format: Virtual Learning
- Date 19-23 April, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
-
- Delivery Format: Virtual Learning
- Date 28 June-02 July, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
-
- Delivery Format: Virtual Learning
- Date 13-17 September, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
-
- Delivery Format: Virtual Learning
- Date 15-19 November, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
Request a date or location for this course