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Overview

This course provides an in-depth understanding of designing Cisco networks tailored for artificial intelligence (AI) applications and solutions. Participants will learn how to leverage Cisco technologies to design, build and operate next-generation network infrastructure to support AI workloads effectively. The course covers key concepts, best practices, and practical implementation strategies for AI-ready networks using Cisco solutions.
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What You'll Learn

Upon completing this course, the learner will be able to meet these overall objectives:

  • Understand Cisco Networking Technologies for AI
  • Describe AI and Network Design
  • Understand AI Workloads and Network Requirements
  • Learn Security and Compliance for AI Networks
  • Understanding the components if AI Infrastructure

Who Should Attend

The primary audience for this course is as follows:

  • Network Solutions Architects
  • Presales Architects
  • Systems Engineers
  • Channel Partners
  • AI Infrastructure Administrators
  • AI Engineers
  • ML Engineers
  • Technical Managers and Decision Makers
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Prerequisites

The knowledge and skills that the learner should have before attending this course are as follows:

  • CCNA or equivalent experience
  • Basic Knowledge of AI Systems
  • Storage Admin Familiarity

Learning Journey

Coming Soon...

Module 1: Introduction to AI and Network Design

  • Understanding the emergence of AI and its practical applications
  • Overview of Cisco technologies for AI integration
  • Challenges and considerations in designing AI-ready networks

Module 2: Understanding the components if AI Infrastructure

  • High Performance GPU Cloud
  • High Performance Storage and Storage Networks
  • High Performance Ethernet Networks
  • High Performance Compute
  • Data Processing and Machine Learning Frameworks
  • MLOps Platforms

Module 3: Understanding AI Workloads and Network Requirements

  • Kubernetes vs. Docker/Container
  • Workload characterization and Generative AI Workload
  • Distributed Workloads and Computing
  • Network architecture requirements for AI applications
  • Scalability, performance, and latency considerations
  • Integration of high-speed data pipelines for AI model training and inference

Module 4: Cisco Networking Technologies for AI

  • Deep dive into Cisco switches, routers, and data center fabrics
  • Introduction to SONiC and SONiC on Cisco 8000
  • Deep Dive into SONiC for AI Infrastructure Networking in the Hybrid Cloud Environments
  • Neural Networks and Parallelism
  • Cisco NDFC for network automation and policy-based management on Nexus Spine and Leaf Architecture
  • Integration of Cisco UCS for AI workload optimization

Module 5: Security and Compliance for AI Networks

  • Threat landscape for AI environments
  • Implementing security controls for data privacy and confidentiality
  • Compliance considerations for AI data handling and processing

Module 6: Network Optimization Techniques for AI

  • Quality of Service (QoS) for prioritizing AI traffic
  • Network slicing for efficient resource allocation
  • Load balancing and traffic engineering for AI workloads

Module 7: Monitoring and Analytics for AI Networks

  • Utilizing Cisco Observability Solutions for AI Networks
  • AI-driven analytics for proactive network management
  • MLOps Tools
  • Troubleshooting and optimization techniques for AI workloads connectivity challenges

Module 8: Case Studies and Best Practices

  • Real-world examples of AI network designs using Cisco technologies
  • Best practices for deploying and managing AI-ready networks
  • Lessons learned and future trends in AI network design

Module 9: Hands-on Labs and Practical Exercises

  • Lab exercises covering network design, configuration, and optimization
  • Simulation of AI workloads to test network performance
  • Troubleshooting scenarios and best practices demonstration

Key Takeaways:

  • Resources for further learning and certification pathways
  • Recommendations for implementing AI-ready networks in real-world environments

Frequently Asked Questions (FAQs)

  • Why get Cisco certified?

    Cisco certifications validate your expertise in networking and cybersecurity, making you a sought-after professional in the IT industry.

    These globally recognized credentials demonstrate your ability to design, implement, and manage complex networks, enhancing your career prospects and earning potential.

    Cisco-certified professionals are highly valued by employers worldwide for their knowledge and skills in managing critical infrastructure and ensuring secure communications.

  • What to expect for the examination?

    Cisco offers a wide range of certification exams, catering to various levels of expertise and specializations.

    The exams typically consist of multiple-choice questions, simulations, and sometimes lab exercises. Exam formats and content vary depending on the specific certification level and track you choose.

    Note: Certification requirements and policies may be updated by Cisco from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Cisco certification valid for?

    Most Cisco certifications are active for three years from the date you earn the certification.

    You can recertify at any time during the active period by re-taking the exam for your existing certification, advancing to the next level of certifications, earning Continuing Education credits, or a combination of both.

    Note: Certification requirements and policies may be updated by Cisco from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Course Curriculum

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Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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