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CompTIA SecAI+ (CY0-001) Certification - Live Sessions

Packt via Coursera

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Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

5 weeks, 3 hours a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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Prepare for the CompTIA SecAI+ exam with this expert-led course on AI in cybersecurity. Gain practical knowledge on AI/ML, securing AI systems, and AI-enhanced security. Master tools and frameworks crucial for the certification. This course is designed to help professionals understand how artificial intelligence (AI) and machine learning (ML) are reshaping cybersecurity. With a detailed curriculum, you’ll explore the fundamentals of AI/ML, focusing on their application in real-world security scenarios. The course also dives deep into security risks tied to AI systems, ensuring learners can recognize and mitigate vulnerabilities. You will learn about the various AI models and services, including predictive AI, generative AI, and agentic AI, and how to apply them within the context of cybersecurity. Additionally, the course introduces AI risk management, secure AI development practices, and how to leverage AI tools to enhance security operations. The final sections focus on AI governance, compliance, and the ethical use of AI, ensuring you understand the full lifecycle of AI in cybersecurity environments. By the end of this course, you will be equipped with the skills necessary to pass the CompTIA SecAI+ certification. You’ll also be well-versed in key frameworks, risk assessments, and strategies to manage AI-based cybersecurity challenges, positioning yourself for success in the rapidly evolving field of AI-driven security. This course is ideal for IT professionals, cybersecurity specialists, and anyone preparing for the CompTIA SecAI+ exam. If you have a basic understanding of cybersecurity and are looking to deepen your knowledge of AI applications in security, this course will be beneficial. A foundational understanding of networking and security concepts is recommended. This course combines video lessons, practical demonstrations, and real-world examples to help you learn how to apply AI tools and techniques to security scenarios. With clear instructions and accessible walkthroughs, you’ll gain hands-on experience in securing AI systems and understanding AI governance. This course is based on CompTIA SecAI+ (CY0-001) Certification - Live Sessions, by Digital Crest Institute. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Introduction
- This module provides an overview of the CompTIA SecAI+ certification course, covering its structure, importance, and key benefits. Learners will gain foundational knowledge of AI in cybersecurity and understand how the certification can enhance their professional growth.
Domain 1: Basic AI Concepts Related to Cybersecurity
- This module introduces foundational AI concepts and their application in cybersecurity, covering AI types, machine learning, data security, and the AI lifecycle. Learners will gain a clear understanding of how AI technologies operate within security frameworks and how to secure AI systems throughout their development and deployment.
Domain 2: Securing AI Systems
- This module provides a comprehensive overview of securing AI systems, covering threat modeling, risk prioritization, secure development practices, access controls, data protection, and monitoring strategies. Learners will gain practical knowledge on implementing security measures and mitigating vulnerabilities in AI applications.
Domain 3: AI-assisted Security
- This module explores how artificial intelligence enhances cybersecurity through tools, threat modeling, and automation. Learners will understand AI's role in both defending against and enabling cyber threats, as well as how to apply AI in real-world security operations.
Domain 4: AI Governance, Risk, and Compliance
- This module covers essential concepts in AI governance, risk management, and compliance, focusing on the ethical, legal, and operational challenges of AI in cybersecurity. Learners will gain an understanding of organizational structures, legal frameworks, and ethical principles that guide responsible AI deployment. The module equips learners with the knowledge to implement and evaluate AI governance strategies in real-world scenarios.