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Hope Training Academy

SC-500 Cloud and AI Security Engineer Associate (Voucher Included)

SC-500 Cloud and AI Security Engineer Associate (Voucher Included)

Regular price $2,195.00 USD
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Build the skills to secure cloud infrastructure and AI workloads with Microsoft technologies while preparing for the SC-500 Cloud and AI Security Engineer Associate certification. Learn how to protect identities, networks, compute, data, and generative AI services using enterprise security controls, monitoring, and governance.

  • 32 course hrs
  • Code GES3142
  • Open enrollment
  • Self paced

Overview

Organizations are rapidly expanding their use of cloud platforms, generative AI, and autonomous systems, which is increasing demand for professionals who can secure both traditional infrastructure and AI-enabled workloads. The cloud and AI security engineer role reflects this shift by combining core cloud security engineering with the specialized skills needed to protect AI services, data flows, and intelligent applications in enterprise environments. As organizations strengthen security programs and modernize technology stacks, learners with AI and cloud security training are well-positioned to support high-priority business and compliance needs.

This Azure certification course prepares you to design, implement, and manage end-to-end security controls across Microsoft Azure and Microsoft 365 environments, including the emerging landscape of AI workloads and agents. It develops your practical skills across identity, networking, application, and workload security. This includes how to design and implement secure identity and access controls and how to secure applications and workload identities.

During this cloud security certification course, you will also learn to protect cloud networking and access paths and how to harden compute, containers, storage, databases, and secrets management. It will further strengthen your operational readiness by teaching you how to improve security posture and secure AI workloads end-to-end. As a result, you will finish your security engineer certification training with job-ready skills that support both real-world cloud security responsibilities and preparation for the SC-500 certification path.

Objective

What you will learn

  • Design and implement secure identity and access controls using Microsoft Entra ID, Azure RBAC, Privileged Identity Management (PIM), MFA, and Conditional Access
  • Secure applications and workload identities by using app registrations, service principals, managed identities, OAuth permissions, and least-privilege access patterns
  • Protect cloud networking and access paths with NSGs, Azure Firewall, WAF, DDoS protection, private endpoints, Private Link, and secure ingress/egress designs
  • Harden compute, containers, storage, databases, and secrets management with encryption, Key Vault, AKS security controls, backup protections, and policy enforcement
  • Strengthen posture and incident response by using Microsoft Defender for Cloud, Microsoft Sentinel, Azure Monitor, analytics rules, and automation
  • Secure AI workloads end-to-end by applying private networking, content filtering, AI governance, model access controls, and protections against AI-specific threats such as prompt injection, data leakage, and insecure agent behavior

How you will benefit

  • Validate in-demand skills for emerging security roles that include AI model and workload protection alongside core cloud security engineering
  • Increase career relevance in a field with strong hiring demand and a growing need for professionals who can secure cloud and AI environments
  • Gain practical security patterns you can apply immediately to enterprise Azure and Microsoft 365 environments, including hybrid and multi-cloud scenarios
  • Be better prepared to help organizations address real-world cybersecurity and AI security skills gaps
  • Develop a stronger foundation for certification readiness, security leadership, and collaboration with architects, developers, administrators, and security operations teams
  • Prepare for the SC-500 Cloud and AI Security Engineer Associate certification

Outline

  1. Identity and Access Management
  2. Application and Workload Identity
  3. Virtual Network Security
  4. Securing Public and Private Access
  5. Compute and Container Security
  6. Storage and Database Security
  7. Governance, Policy, and Key Management
  8. Threat Protection and Security Operations
  9. AI-Specific Security, Content Safety, and Responsible AI

Requirements

Requirements:

Hardware Requirements:

  • This course can be taken on either a PC or Mac. Chromebooks are not compatible.

Software Requirements:

  • PC: Windows 10 or later.
  • Mac: macOS 10.6 or later.
  • Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
  • Microsoft Word Online
  • Adobe Acrobat Reader
  • Software must be installed and fully operational before the course begins.

Other:

  • Email capabilities and access to a personal email account.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.

Prerequisites

Prerequisites:

There are no prerequisites to complete this course.

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Instructor

Mike Pfeiffer

Mike Pfeiffer is a seasoned IT instructor and published author with extensive experience in cloud technologies and networking. He has authored multiple study guides for Microsoft Azure and PowerShell, helping professionals achieve certification success. His expertise spans Networking, Microsoft Azure, and AWS, backed by top-tier credentials including MCSE Cloud Platform, Microsoft Certified Master, and CompTIA certifications. Mike brings a practical, real-world approach to every course he teaches.

FAQs

What is the average salary of a security engineer?

According to Indeed, the average salary for a security engineer is $85,138 per year in the United States.

What is a security engineer? What does a security engineer do?

A security engineer is a specialized professional responsible for managing security aspects in computer systems, networks, and data storage. They employ a variety of tools, methods, and knowledge to fortify and protect digital infrastructures against cyber threats. Learning more about the role of a security engineer can aid you in deciding if this career path aligns with your professional aspirations.

What jobs can you get with SC-500 certification?

The SC-500 Cloud and AI Security Engineer Associate certification can support career paths such as Cloud Security Engineer, Azure Security Engineer, Security Engineer, Identity and Access Engineer, Security Operations Analyst, and AI Security Engineer. It is designed for professionals who secure cloud, hybrid, and AI-enabled environments across identity, networking, applications, data, compute, and AI workloads.

Do you need Azure experience before taking the SC-500 exam?

Yes, some Azure experience is recommended before taking SC-500. Microsoft positions this certification path as intermediate and indicates that candidates should have practical experience with Azure and hybrid environments, strong familiarity with Microsoft Entra ID, and familiarity with Microsoft 365 administration. For learners new to Azure, AZ-900: Azure Fundamentals is a strong starting point because it is positioned as a common entry point for an Azure career journey.

Is SC-500 worth it for cloud security and AI security careers?

For many learners, yes. SC-500 was introduced as part of Microsoft's newer cloud, AI, and security certification lineup and is designed to validate skills for securing both cloud infrastructure and AI solutions. That aligns well with market demand, as employment for information security analysts is projected to grow much faster than average over the next decade, and Microsoft positions its certifications as globally recognized and aligned to real-world job roles.

Does this course prepare you for a certification?

Yes.

How long does it take to complete this course?

After you register, you will receive 3 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.

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