Microsoft Azure Security Technologies (AZ-500)

Course Description

Overview
This course equips participants with the skills to implement and manage Azure security solutions. It prepares learners for the AZ-500 certification exam.

What will you learn?

  • Configure identity and access management in Azure.

  • Implement platform protection and data security solutions.

  • Monitor and troubleshoot Azure security solutions.


Who is this course for?

  • Security engineers managing Azure resources.

  • Professionals preparing for the AZ-500 certification exam.


Prerequisites

  • Familiarity with Azure core services.

  • Understanding of basic networking and security concepts.

Curriculum for this course

8 Lessons
Managing Identity and Access
2 Lessons
  • Configuring Azure Active Directory (Azure AD)
    .
  • Implementing multi-factor authentication and conditional access
    .
Implementing Platform Protection
2 Lessons
  • Configuring network security groups and Azure Firewall.
    .
  • Securing Azure VMs and storage
    .
Managing Security Operations
2 Lessons
  • Monitoring Azure security using Azure Sentinel
    .
  • Configuring alerts and incident responses.
    .
Securing Data and Applications
2 Lessons
  • Implementing Azure Key Vault for data protection
    .
  • Securing applications with managed identities
    .

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%

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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
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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
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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)
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