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Cisco AI Solutions on Cisco Infrastructure Essentials

The Cisco AI Solutions on Cisco Infrastructure Essentials (DCAIE) course provides foundational knowledge and practical skills for deploying, migrating, and operating AI solutions on Cisco data center infrastructure. The course covers AI and generative AI fundamentals, AI/ML clusters and models, AI infrastructure design, workload placement, AI networking, high-throughput and lossless fabrics, AI-enabling hardware, compute and storage resources, AI/ML workload performance, AI cluster setup, and the deployment of open-source GPT models with Retrieval-Augmented Generation (RAG).
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Course Description

Key Takeaways
  • Understand fundamental AI, machine learning, deep learning, and generative AI concepts.
  • Understand AI/ML clusters, models, and AI infrastructure requirements.
  • Use Jupyter Lab and generative AI for network operations and productivity.
  • Understand AI workload placement and interoperability.
  • Understand AI networking requirements, transport, connectivity models, and high-performance fabrics.
  • Understand AI-enabling hardware, compute, virtual, and storage resources.
  • Configure a fabric optimized for AI/ML workloads using NDFC.
  • Deploy and use open-source GPT models for RAG.
Course Outline

1. Fundamentals of AI

2. Generative AI

3. AI Use Cases

4. AI-ML Clusters and Models

5. AI Toolset Mastery - Jupyter Notebook

6. AI Infrastructure

7. AI Workload Placements and Interoperability

8. AI Policies

9. AI Sustainability

10. AI Infrastructure Design

11. Key Network Challenges and Requirements for AI Workloads

12. AI Transport

13. Connectivity Models

14. AI Network

15. Architecture Migration to AI/ML Network

16. Application-Level Protocols

17. High Throughput Converged Fabrics

18. Building Lossless Fabrics

19. Congestive Visibility

20. Data Preparation for AI

21. AI/ML Workload Data Performance

22. AI-Enabling Hardware

23. Compute Resources

24. Compute Resource Solutions

25. Virtual Resources

26. Storage Resources

27. Setting Up AI Cluster

28. Deploy and Use Open Source GPT Models for RAG

Duration

4 Days

Exam Details

Certification: Cisco Certified Specialist – Data Center AI Infrastructure

Exam: Implementing Cisco Data Center AI Infrastructure 300-640 DCAI v1.0

Duration: 90 minutes

Format: Cisco certification examination

Lab Outline
  • AI Toolset — Jupyter Notebook
  • AI/ML Workload Data Performance
  • Setting Up AI Cluster
  • Deploy and Use Open Source GPT Models for RAG
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
Prerequisites
  • Cisco UCS compute architecture and operations
  • Cisco Nexus switch portfolio and features
  • Data Center core technologies

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Our instructors

Mohammad Gufran Network Binary

MOHAMMED GUFRAN

17 years of Experience
Enterprise Networking | Network Security | Software Defined Networking & Automation

AKMAL YAZDANI

18+ years of Experience
Azure & AWS services |Managing and Implementing Windows servers

MUHAMMAD MUSAB

4+ Years of Experience
Cisco Technologies | Cisco and HPE ARUBA Technologies | Routing and Switching

RANIA GABRIEL GEORGE HAKIM

25+ years of Experience
Enterprise Networking | Network Security | Software Defined Networking & Automation
Microsoft Instructor and Windows Network Specialist

MOHD FARAZ HARMIS

25+ years of Experience
Managing and Implementing Microsoft Azure cloud | Active Directory

SHAHEEN AKHTAR

17 years of Experience
TCP | and UDP protocols, along | with expertise in firewalls such as Palo Alto

KUDDOOS ALI

14+ years of Experience
Experienced Network Engineer proficient in AFC | Aruba Central | Aruba CX switches

AAMIR MASOOD

6 years of Experience
AWS Compute | AWS Storage | AWS Database | AWS Management
Faizan Ahmad IT Advisor

FAIZAN AHMAD

7 years of Experience
Software support Issue Resolution | User assistance | Microsoft Active Directory
cisco Instructor in Dubai Saad shah

SAAD SHAH

10 years of Experience
Cisco Technologies | Routing and Swtiching | Data Center | Security

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FAQs

What is Cisco DCAIE training?

Cisco AI Solutions on Cisco Infrastructure Essentials (DCAIE) is an essentials-level training course covering the deployment, migration, and operation of AI solutions on Cisco data center infrastructure.

What certification does DCAIE prepare me for?

DCAIE, together with the Operate and Troubleshoot AI Solutions on Cisco Infrastructure (DCAIAOT) training, prepares learners for the 300-640 DCAI: Implementing Cisco Data Center AI Infrastructure examination. Passing the exam earns the Cisco Certified Specialist – Data Center AI Infrastructure certification.

What topics are covered in the DCAIE course?

The course covers AI and generative AI, AI/ML clusters and models, AI infrastructure, workload placement, AI networking, high-throughput and lossless fabrics, data preparation, AI-enabling hardware, compute and storage resources, AI cluster setup, and open-source GPT models with RAG.

Does Cisco DCAIE include hands-on labs?

Yes. The official course outline includes labs covering Jupyter Notebook, AI/ML workload data performance, AI cluster setup, and deployment and use of open-source GPT models for RAG.

Is there an exam after completing DCAIE?

DCAIE is a training course and does not itself award the certification. The associated 300-640 DCAI certification exam is a separate 90-minute Cisco examination. Passing it earns the Cisco Certified Specialist – Data Center AI Infrastructure certification and can also satisfy the CCNP Data Center concentration requirement.

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