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Catalyst Center Automation & AIOps Essentials

Cisco’s strategy focuses on helping customers connect, secure, and automate agile networks to accelerate digital transformation through the Cisco DNA Platform Suite. This platform securely connects people, applications, and devices, leveraging AI-driven visibility, observability, and insights to ensure the health of users, applications, and infrastructure. Cisco DNA Center’s AIOps integrates advanced AI technologies, including Machine Learning, Machine Reasoning, and Visual Analytics, to minimize noise, quickly identify and remediate issues, and provide comprehensive visibility across the network. This approach transforms IT into a competitive advantage by integrating AIOps, NetOps, SecOps, and DevOps, and enables proactive network management with AI-driven insights and root cause analysis.Cisco DNA Assurance with Artificial Intelligence (AI) and machine learning solves these challenges by eliminating manual troubleshooting operations and reducing the time spent resolving service issues.

This 2-day workshop deals with equipping participants with the knowledge and skills to effectively leverage Cisco Catalyst Center for automation and AI-driven operations (AIOps).

Learning Objectives:

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

  • Comprehend Cisco’s Strategic Framework: Gain a deep understanding of Cisco’s approach to connecting, securing, and automating agile networks, with a strong emphasis on the capabilities of the Cisco DNA Platform Suite and its role in digital transformation.
  • Understand AI-Driven Network Management: Learn to harness AI-driven visibility, observability, and actionable insights for monitoring and enhancing network health. Explore advanced AI/ML techniques to proactively identify and resolve issues, minimizing downtime and optimizing performance.
  • Integrate AIOps with NetOps, SecOps, and DevOps: Develop the skills to seamlessly integrate AIOps with NetOps, SecOps, and DevOps practices, transforming IT operations into a strategic advantage that drives efficiency and innovation.
  • Apply Practical Knowledge Through Hands-On Labs: Engage in hands-on labs and real-world case studies to gain practical experience in automating network tasks, deploying AI-driven incident management, and ensuring robust security and compliance across network environments.

I. Workshop Training Modules

Day 1

Part-1: Foundations of Catalyst Center and AI/ML in Networking

  • Challenges in Managing traditional networks.
  • SDN Definitions
  • SDN Architecture.
  • SDN Deployment Models
  • Digital Enterprise Definition
  • Understanding Cisco Catalyst Center (formerly DNA Center)
  • Key functionalities and integration with enterprise networks
  • Digital Transformation Acceleration
  • Overview of AIOps: Scope and Focus
  • Key Capabilities of Cisco AIOps
  • The Role of AIOps in Modern IT Operations
  • Introduction to AI and ML: Concepts and Terminologies
  • Key benefits of implementing AIOps for Cisco DNA Center.
  • Introduction to DANC APIs.
  • Understand Cisco Catalyst Center Programmability in the context of DNA
  • Understand the Cisco Catalyst Center API Domains
  • Cisco AI Network Analytics

Day 2

Part-2 Advanced Automation, AI/ML Applications, and Integration

  • Cisco DNA Assurance
  • Health Scores
  • Data collection and Ingestion
  • Machine Learning-Based Anomaly Detection
  • Dynamic Baselines
  • Predictive Insights
  • Capacity Planning
  • Device Failure and Root cause analysis
  • Self-Healing Networks
  • AI-Driven Recommendations
  • DNA and ThousandEyes integration
  • Threat Intelligence
  • Behavioural Analytics
  • Network Segmentation
  • Threat Response Automation

I. Lab outline

  • Use Postman for REST API Consumption
  • Retrieving Device Inventory using API with Catalyst Center
  • Build Python Scripts to Interact with Cisco Catalyst Center Intent APIs
  • Build Python Scripts with Cisco Catalyst Center Assurance APIs
  • Configuring AIOps with Cisco’s Catalyst Center Analytics
  • Implementing AI-driven incident management
  • Applying AI/ML in Catalyst Center for real-time optimization
  • DNA and ThousandEyes Integration

II. Target Audience

Cisco Systems Engineers SDA DevOps Engineers Field Engineers
Systems Architects & IT Managers SDA Automation Engineers 7. CISCO TAC Engineers

III. Skill Level:

  1. Internet Access to Lab setup on Cloud
  2. SSH connectivity to Lab VM
  3. Familiarity with the Unix command line
  4. A modern computer (recent Linux, macOS, or Windows 10)
  5. Experience with scripting or programming language will be useful but not essential.

IV. Prerequisites:

The following are the prerequisites for this course:

  1. Basic understanding of Enterprise Networking
  2. Basic programming language concepts
Please contact us to schedule a privately scheduled class for any of our training offerings
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5000+ Participants served

4.7+ out of 5 Participant satisfaction scores

Individual Lab(s) for each Learner

Good Content, very good introduction part about SD-WAN

The instructors demonstrated profound knowledge about the topic, labs were well prepared

The whole lab was excellently organized and set up. Kudos to the team!

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