Course Details
Course Details
What You'll Learn
This course prepares you for the CompTIA SecAI+ certification exam, covering all official exam domains and their weightings:
Domain 1 Basic AI concepts related to cybersecurity (17%)
- Understand AI, machine learning and generative AI fundamentals in a security context
- Describe AI models, data, training and common AI use cases in cybersecurity
- Identify AI-specific threats, risks and the AI attack surface
Domain 2 Securing AI systems (40%)
- Implement technical controls to protect AI models, data, pipelines and infrastructure
- Defend against adversarial attacks, data poisoning, model theft and prompt injection
- Secure the AI and machine learning lifecycle, supply chain and integrations
- Apply identity, access, encryption and monitoring controls to AI systems
Domain 3 AI-assisted security (24%)
- Use AI and generative AI tools for threat detection, hunting and analysis
- Automate security operations, triage and incident response with AI
- Apply AI to vulnerability management and security analytics
Domain 4 AI governance, risk, and compliance (19%)
- Apply AI governance frameworks and responsible AI principles
- Address global regulatory and compliance requirements for AI
- Manage AI risk, ethics, transparency and accountability
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
free Microsoft Azure account (https://azure.microsoft.com/en-us/) hereHardware: Window or Mac Laptops
Job Roles
Job Roles
- Azure Cosmos DB Developer
- NoSQL Database Developer
- Azure Data Engineer
- Cloud Application Developer
- Database Solutions Architect
- Full Stack Developer (Azure)
- Azure Backend Engineer
- Big Data Engineer
- Cloud-Native App Developer
- Azure SDK Developer
- Data Integration Specialist
- Database Performance Engineer
- Cloud Database Administrator
- DevOps Engineer (Data Focused)
- Software Engineer (NoSQL Solutions)
- Data Modeler (Cloud Systems)
- Site Reliability Engineer (Cosmos DB)
- AI Application Developer
- Cloud Data Migration Specialist
- Serverless Application Developer
Trainers
Trainers
Anil is a ACLP certified trainer. He is an Enterprise Cloud and DevOps Consultant , responsible for helping clients to move Virtual data centre to Private Cloud based on OpenStack and Public Cloud ( AWS, Azure and Google cloud) . Consulting and training experience on Devops tool chain like github , Jenkins, Sonarqube, Docker & kubernetes, Cloud foundry, Openshift, Ansible and SaltStack. Lot of my Role is involved design and implementation of a solution and training.
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