Citrix Application Delivery Management (ADM-320)

Course Description

Overview
This course focuses on managing and optimising Citrix Application Delivery using Citrix ADM. Participants will learn to monitor, analyse, and troubleshoot application delivery networks.

What will you learn?

  • Configure and manage Citrix ADM for application delivery.

  • Monitor network traffic and identify bottlenecks.

  • Implement analytics for performance tuning.

Who is this course for?

  • IT professionals managing application delivery networks.

  • Administrators aiming to optimise Citrix deployments.

Prerequisites

  • Basic knowledge of networking and application delivery.

  • Familiarity with Citrix ADC is recommended.

Curriculum for this course

8 Lessons
Introduction to Citrix ADM
2 Lessons
  • Overview of ADM features and capabilities
    .
  • Key deployment scenarios
    .
Configuring ADM for Application Delivery
2 Lessons
  • Setting up ADM for network monitoring
    .
  • Integrating ADM with Citrix ADC
    .
Network Monitoring and Analytics
2 Lessons
  • Tracking network performance metrics
    .
  • Using analytics for troubleshooting
    .
Troubleshooting and Optimisation
2 Lessons
  • Resolving common application delivery issues
    .
  • Performance tuning best practices
    .

Drop us a message for any query

For more information about our courses, get in touch
with Alchemy contacts

Course rating

Star

90%

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80%

Star

65%

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60%

Reviews

  • Ruma Sriwastav

    Cover all my needs

    The course identify things we want to change and then figure out the things that need to be done to create the desired outcome. The course helped me in clearly define problems and generate a wider variety of quality solutions. Support more structures analysis of options.

All Courses

Skills Offered

Emerging Skills Offered by Alchemy for 2024-2025

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Data Science & Analytics
  • Advanced Data Engineering (e.g., Snowflake, Databricks)
  • Real-Time Data Streaming (e.g., Kafka, Flink)
  • Predictive Analytics with AI/ML Models
  • Advanced Business Intelligence Tools (e.g., Power BI, Tableau)
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Emerging Programming Frameworks
  • Quantum Computing Basics (IBM Qiskit, Google Cirq)
  • Web3 Development: Solidity, Smart Contracts
  • Low-code/No-code Platforms (OutSystems, Mendix)
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Infrastructure Modernization
  • Software-Defined Networking (SDN) and NFV
  • Advanced Virtualization (Citrix, VMware updates)
  • Hybrid and Edge Computing
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Soft Skills and Leadership in Tech
  • Agile Transformation and Leadership
  • Design Thinking for Problem Solving
  • Leading AI-Driven Innovation
Image

AI & Machine Learning
  • Generative AI (e.g., ChatGPT, Bard, MidJourney integrations)
  • Machine Learning Operations (MLOps)
  • Advanced NLP and Speech Recognition
  • AI for Edge Computing
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Cloud Technologies
  • Multi-Cloud Management: Azure, AWS, GCP integrations
  • Cloud-Native Development: Kubernetes, Docker, Serverless Architectures
  • AI and ML integration in Cloud Platforms
  • FinOps: Cloud Cost Management
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Cybersecurity
  • Zero Trust Architecture (e.g., Illumio)
  • Incident Response and Threat Intelligence
  • Cloud Security (AWS, Azure, and GCP-focused)
  • Advanced Penetration Testing and Ethical Hacking
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DevOps and DevSecOps
  • Infrastructure as Code (IaC) with Terraform and Ansible
  • GitOps and Continuous Integration/Continuous Delivery (CI/CD)
  • Security in DevOps Pipelines
Image

Data Science & Analytics
  • Advanced Data Engineering (e.g., Snowflake, Databricks)
  • Real-Time Data Streaming (e.g., Kafka, Flink)
  • Predictive Analytics with AI/ML Models
  • Advanced Business Intelligence Tools (e.g., Power BI, Tableau)
Image

Emerging Programming Frameworks
  • Quantum Computing Basics (IBM Qiskit, Google Cirq)
  • Web3 Development: Solidity, Smart Contracts
  • Low-code/No-code Platforms (OutSystems, Mendix)
Image

Infrastructure Modernization
  • Software-Defined Networking (SDN) and NFV
  • Advanced Virtualization (Citrix, VMware updates)
  • Hybrid and Edge Computing
Image

Soft Skills and Leadership in Tech
  • Agile Transformation and Leadership
  • Design Thinking for Problem Solving
  • Leading AI-Driven Innovation
Image

AI & Machine Learning
  • Generative AI (e.g., ChatGPT, Bard, MidJourney integrations)
  • Machine Learning Operations (MLOps)
  • Advanced NLP and Speech Recognition
  • AI for Edge Computing
Image

Cloud Technologies
  • Multi-Cloud Management: Azure, AWS, GCP integrations
  • Cloud-Native Development: Kubernetes, Docker, Serverless Architectures
  • AI and ML integration in Cloud Platforms
  • FinOps: Cloud Cost Management
Image

Cybersecurity
  • Zero Trust Architecture (e.g., Illumio)
  • Incident Response and Threat Intelligence
  • Cloud Security (AWS, Azure, and GCP-focused)
  • Advanced Penetration Testing and Ethical Hacking
Image

DevOps and DevSecOps
  • Infrastructure as Code (IaC) with Terraform and Ansible
  • GitOps and Continuous Integration/Continuous Delivery (CI/CD)
  • Security in DevOps Pipelines