Overview
Secure Azure, AI, Copilots & Enterprise Applications
The SC-500: Microsoft Cloud & AI Security Engineer Associate training program equips professionals with the knowledge and practical skills required to secure modern cloud and AI-powered environments. This course focuses on protecting Azure resources, AI applications, Azure OpenAI deployments, AI Agents, Microsoft Copilot solutions, identities, data, and enterprise workloads using Microsoft's security capabilities.
Participants will learn how to implement Zero Trust security principles, secure cloud-native applications, protect sensitive AI data, manage identities, detect threats, implement governance controls, and secure Generative AI solutions across the Microsoft ecosystem.
This course is ideal for organizations deploying Azure AI, Copilots, AI Agents, Azure OpenAI, Microsoft 365 Copilot, and enterprise cloud applications.
Prerequisites
- Cloud Computing Fundamentals
- Basic Networking Concepts
- Microsoft Azure Fundamentals
- Security Fundamentals
- Identity and Access Management Basics
Curriculum
Module 1: Security Fundamentals & Zero Trust
- Cybersecurity Fundamentals
- Zero Trust Architecture
- Defense-in-Depth Strategy
- Shared Responsibility Model
- Cloud Security Principles
- AI Security Fundamentals
- Security Governance
Practical lab
- Assess Security Posture
- Implement Zero Trust Controls
Module 2: Identity & Access Management
- Microsoft Entra ID
- User & Group Management
- Role-Based Access Control (RBAC)
- Privileged Identity Management (PIM)
- Conditional Access Policies
- Multi-Factor Authentication (MFA)
- Managed Identities
- Service Principals
Practical lab
- Configure Entra ID Security
- Implement Conditional Access
Module 3: Azure Security Architecture
- Azure Resource Security
- Network Security Fundamentals
- Virtual Networks
- Network Security Groups
- Private Endpoints
- Azure Firewall
- Azure DDoS Protection
- Secure Application Connectivity
Practical lab
- Secure Azure Environment
- Implement Network Controls
Module 4: Secure AI & Generative AI Solutions
- AI Threat Landscape
- Generative AI Security Risks
- Azure OpenAI Security
- AI Agent Security
- Prompt Injection Attacks
- Data Leakage Prevention
- Secure AI Application Design
- Responsible AI Governance
Practical lab
- Secure Azure OpenAI Deployment
- Prevent AI Data Exposure
Module 5: Data Protection & Information Security
- Data Classification
- Sensitivity Labels
- Data Encryption
- Azure Key Vault
- Customer Managed Keys (CMK)
- Data Loss Prevention (DLP)
- Information Protection
- Secure Data Sharing
Practical lab
- Configure Data Protection Policies
- Implement Encryption Controls
Module 6: Application Security
- Secure Application Development
- API Security
- OAuth & OpenID Connect
- Secrets Management
- Secure Coding Principles
- Container Security
- Kubernetes Security
- AI Application Security
Practical lab
- Secure API Deployment
- Protect Application Secrets
Module 7: AI Governance & Compliance
- Responsible AI Framework
- AI Risk Management
- AI Governance Models
- Compliance Requirements
- Regulatory Controls
- AI Audit Readiness
- Content Safety
- Model Governance
Practical lab
- Create AI Governance Framework
- Configure Compliance Controls
Module 8: Security Monitoring & Threat Detection
- Microsoft Defender
- Microsoft Sentinel
- Azure Monitor
- Security Center
- Threat Intelligence
- Incident Detection
- Security Analytics
- AI Threat Monitoring
Practical lab
- Configure Security Monitoring
- Investigate Security Incidents
Module 9: Threat Protection for AI Applications
- AI-Specific Threats
- Prompt Injection Detection
- Model Abuse Prevention
- Token Misuse Monitoring
- Identity-Based Attacks
- API Abuse Detection
- Threat Hunting
- Security Alerting
Practical lab
- Simulate AI Security Attacks
- Configure Protection Mechanisms
Module 10: DevSecOps & Secure Deployment
- DevSecOps Fundamentals
- Security in CI/CD Pipelines
- GitHub Advanced Security
- Vulnerability Management
- Infrastructure as Code (IaC) Security
- Container Image Scanning
- Secure Software Supply Chain
Practical lab
- Secure Azure DevOps Pipeline
- Perform Security Scanning
Module 11: Incident Response & Recovery
- Security Incident Management
- Investigation Techniques
- Threat Containment
- Recovery Procedures
- Business Continuity
- Disaster Recovery
- AI Incident Response
- Security Reporting
Practical lab
- Respond to Security Incident
- Create Incident Response Plan
Module 12: Security Operations & Optimization
- Security Posture Management
- Continuous Compliance
- Cost Optimization for Security
- Security Automation
- Governance Automation
- Security Best Practices
- Continuous Improvement
Practical lab
- Optimize Security Operations
- Implement Automated Response
Features
- Instructor-Led Expert Training
- Hands-On Security Labs
- AI Security Focus
- Industry-Aligned Content
Course Fees
Virtual Instructor-Led Training
| One-to-One Private Batch | Public Batch |
|---|---|
| Fees : ₹90,000 + 18% GST | Fees : ₹20,000 + 18% GST |
| 2hrs : Mon - Fri | 2hrs : Mon - Fri |
| 4hrs : Sat - Sun | 4hrs : Sat - Sun |
FAQs
1Do you accept card or online payments?
Yes, we do.
2Are course fees refundable if I cancel my enrolment?
No.
3Do you provide placement support after training?
We provide placement support, but do not guarantee employment or placement.
4Do you offer corporate training?
Yes, we offer corporate training.
5How will I receive my certificate after completing the course?
Our team will provide a digital certificate after you complete the training.
6Can I see the trainer’s profile before enrolling?
Yes, you can.
7Can I request a demo session before enrolling?
Yes, you can.
