Description
Designing Cisco Data Center Infrastructure for Traditional and AI Workloads v1.2 (DCID 300-610). This course examines how to design a modern Cisco data center infrastructure to support traditional enterprise workloads and emerging AI requirements. This course helps network architects and engineers design scalable, AI-ready data center environments while preparing for the CCNP Data Center certification. Participants will learn about current architectural frameworks for networking, compute, storage, and automation, with a specific focus on AI and machine learning workloads, Lossless Ethernet, and high-performance fabrics. Advanced topics such as RoCEv2, VXLAN EVPN, UCS X-Series, NVMe-oF, and centralized management with Cisco Intersight and Nexus Dashboard are covered in depth. Version 1.2 of this course and its associated exam reflect the evolution of artificial intelligence and machine learning in network design. In this new edition, older technologies are de-emphasized and modern platforms, cloud management tools, and scalable architectures take center stage. Although there is no formal prerequisite for the CCNP Data Center certification, a basic knowledge of CCNA is highly recommended for success. To obtain this certification, passing the core exam (350-601 DCCOR) and a specialized exam is required, and this course specifically prepares students for the DCID 300-610 focused exam. In addition, the course takes an in-depth approach to evaluating automation and orchestration processes in modern data centers. Network engineers learn how to optimize Layer 2 and Layer 3 communications in a way that maintains the highest possible infrastructure stability and efficiency. The main value of this certification in the job market is its focus on real-world engineering scenarios and assessment of designers’ ability to integrate different parts of the network, data processing, and storage, which prepares professionals to face complex organizational challenges.
What you will learn
- Designing data center networks for AI: Supporting AI workloads, lossless Ethernet, and high-speed fabrics.
- Layer 2 and Layer 3 Connectivity Architecture: Designing scalable data center communications using modern fabric patterns.
- Processing architecture planning: Support for modular platforms and centralized equipment lifecycle management.
- Storage Network Design: Implementing storage infrastructure for traditional and high-performance workloads.
- Automation and Orchestration Assessment: Exploring automation methods for operating modern data centers.
- Updating data center designs: Aligning designs with current Cisco architectures.
This course is suitable for people who:
- Data Center Engineers: Professionals with 3 to 5 years of work experience in the field of data center infrastructure.
- Network Architects: Individuals responsible for designing and implementing the most scalable enterprise networks.
- DCCOR Certificate Holders: Those who have passed the core exam and intend to complete the professional certification path.
- Senior Infrastructure Specialists: Engineers who are familiar with core data center concepts and seek to master AI and automation technologies.
Course details
- Publisher: CBTNuggets
- Instructor: Jeff Kish
- Education level: Intermediate
- Training duration: 46 hours and 52 minutes
- Number of lessons: 280
Course topics
- Identify Data Center Foundations
- Describe AI ML Concepts
- Evaluate Networking for AI Workloads
- Describe Data Center L2 Architecture
- Evaluate Data Center L2 Connectivity
- Describe Data Center Port-Channels
- Design VPCs in the Data Center
- Explain VXLAN at the Data Plane
- Explain VXLAN at the Control Plane
- Describe Data Center L3 Architecture
- Evaluate Data Center L3 Routing
- Evaluate Data Center Routing Virtualization
- Evaluate Data Center L3 Services
- Evaluate L2 and L3 High Availability
- Evaluate Qo S for Lossless Ethernet
- Evaluate Traditional Data Center Interconnects
- Evaluate Overlay-Based Data Center Interconnects
- Describe Data Center Redundancy
- Evaluate Data Center Management Options
- Evaluate Redundancy Options
- Evaluate Disaster Recovery Objectives
- Describe ACI Concepts
- Identify the ACI Logical Model
- Describe ACI Features
- Compare Cisco Fabric Offerings
- Describe the UCS Value Proposition
- Identify UCS Server Series
- Explain UCS Network Device Virtualization
- Explain UCS Ethernet Connectivity
- Explain UCS Traffic Flows
- Explain UCS Network Configuration
- Design UCS Network Pathing
- Design UCS Quality of Service
- Design UCS Service Profile Policies
- Design with UCS Templates
- Explain Storage Networking Principles
- Explain Storage Innovations
- Design and SCSI Deployment
- Perform SCSI Tuning
- Explain Fibre Channel Fabrics
- Explain Fiber Channel Mechanisms
- Describe Fiber Channel Configurations
- Design Fibre Channel Fabrics
- Explain Fiber Channel Connectivity Options
- Describe Storage Array Concepts
- Design FC and iSCSI in UCS
- Design UCS Storage Connectivity
- Explain Network Automation Concepts
- Explain Data Languages and Models
- Describe Configuration Management
- Explain Nexus Programmability
- Describe Nexus Dashboard Features
- Design Compute Orchestration
- Design Data Center Transceivers and Cabling
- Identify Cisco Optics and Cables
- Meet the Requirements of a DC Design
- DCID Networking Review
- Review DCID Compute, Storage, and Automation
Course images Designing Cisco Data Center Infrastructure for Traditional and AI Workloads v1.2 (DCID 300-610)
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
23.7 GB