Explore the crucial relationship between artificial intelligence and cybersecurity including vulnerabilities and security risks associated with LLMs and other machine learning models.
Artificial Intelligence and Cybersecurity
1h 4m 21s
English
Paid
Artificial Intelligence and Cybersecurity is a 7-lesson 1 hour 4 minutes self-paced course by Zero To Mastery. Explore the crucial relationship between artificial intelligence and cybersecurity including vulnerabilities and security risks associated with LLMs and other machine learning models.
Course facts
- Lessons
- 7
- Duration
- 1 hour 4 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Zero To Mastery
- Price
- Premium
AI is changing the cybersecurity landscape, creating unparalleled tools for defending digital assets while also creating new attack vectors and vulnerabilities. It's a bit of a double-edged sword, but one that every Cybersecurity professional will need to learn to wield.
Who teaches Artificial Intelligence and Cybersecurity? Zero To Mastery
Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.
The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.
The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.
What lessons are included in Artificial Intelligence and Cybersecurity?
0:00
/ #1: Introduction to AI in Cybersecurity
All Course Lessons (7)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction to AI in Cybersecurity Demo | 06:52 | |
| 2 | Bypassing ChatGPT Ethical Filters | 18:58 | |
| 3 | Jailbreak Chat | 10:24 | |
| 4 | AI & Machine Learning Security Risks | 04:33 | |
| 5 | Next Gen Social Engineering Attacks | 08:56 | |
| 6 | Primary Security Risk When Using AI | 07:33 | |
| 7 | Benefits of AI in Cybersecurity | 07:05 |
Unlock unlimited learning
Get instant access to all 6 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionWhat courses are similar to Artificial Intelligence and Cybersecurity?
Updated 1y agoLocal LLMs via Ollama & LM Studio - The Practical Guide
By: Academind Pro (Maximilian Schwarzmüller)Unlock the power of local language models with the practical guide to running AI models directly on your computer.3h 52m5/5
Updated 1mo agoAdvanced Local AI
By: Zen van RielMaster modern AI with the Advanced Local AI course. Learn to use and integrate open-source models for real-world tasks.1h 1m
Updated 1y agoMaster and Build Large Language Models
By: Sebastian Raschka, Abhinav KimothiThe best way to understand how Large Language Models (LLM) work is to build your own. And that is exactly what you will do in this course.17h 15m5/5
Updated 11mo agoBuild a Reasoning Model (From Scratch)
By: Sebastian RaschkaUnderstand how LLMs reason by creating your own reasoning model from scratch. In the book "Building a Reasoning Model from Scratch," you will step by.
Updated 3mo agoAI for Beginners: Reasoning Models
By: Zero To MasteryStudy AI reasoning models from scratch. Learn how they work, are trained, and applied by exploring real-world behavior analysis and reasoning steps.4h 37m
Updated 2y agoMachine Learning Fundamentals
By: LunarTechAdvance your career in machine learning with confidence. Master the key ML fundamentals that are in demand by employers and acquire the skills necessary to.4h 5m5/5
Updated 11mo agoAI Engineering Bootcamp: Building AI Applications (LangChain, LLM APIs + more)
By: Zero To MasteryThis course is your practical path to a career as a generative AI engineer: not just using technologies, but creating them. First, you will enhance your skills.18h 33m5/5
Updated 4mo agoBuild a DeepSeek Model (From Scratch)
By: Rajat Dandekar, Naman Dwivedi, Dr. Sreedath PanaLearn how to build a DeepSeek model from scratch. A practical guide with a focus on engineering and algorithmic solutions for efficient model performance.
More courses by Zero To Mastery
ClassicComplete Web Developer in 2025: Zero to Mastery
Learn to code. Get hired. This is one of the most popular, highly rated coding bootcamps online. It's also the most moderen and up-to-date. Guaranteed. You'll g37h 3m5/5
ClassicComplete Next.js Developer in 2023: Zero to Mastery
Learn Next JS from industry experts using modern best practices. The only Next JS tutorial + projects course you need to learn Next JS, build enterprise-level R27h 12m5/5
ClassicComplete SQL + Databases Bootcamp: Zero to Mastery
With so many online resources available, it can be paralyzing not only figuring out where to start but more importantly which courses will actually teach you th24h 6m5/5
Updated 3y agoPower BI Bootcamp: Zero to Mastery
This Power BI Bootcamp will take you from absolute beginner in Power BI to being able to get hired as a confident and effective Business Intelligence Analyst. Y16h 55m
Updated 3y agoBash Scripting: Learn Shell Scripting
Learn Bash Scripting from scratch, from an industry expert. You'll learn Shell Scripting fundamentals, master the command line, and get the practice.9h 38m
FreeUpdated 3y agoChatGPT & Large Language Models (LLMs): A Practical Guide
Learn how ChatGPT actually works under the hood! This byte-sized course will get you up to speed on Large Language Models (LLMs) including topics like Prompt De58m5/5
Frequently asked questions
What prior knowledge is required before taking this course?
The course is designed for individuals with a basic understanding of both artificial intelligence and cybersecurity. Familiarity with machine learning concepts and general cybersecurity principles will help in grasping the course content more effectively. However, the course begins with an introductory lesson, which provides foundational knowledge about AI in cybersecurity, making it accessible to those with less experience in these areas.
What practical skills will I gain from this course?
Participants will learn about the vulnerabilities and security risks associated with large language models (LLMs) and machine learning models. The course includes lessons on bypassing ethical filters in AI tools like ChatGPT and understanding how AI can be used in next-generation social engineering attacks. These skills are crucial for identifying and mitigating AI-related security threats.
Who is the intended audience for this course?
This course is intended for cybersecurity professionals, AI enthusiasts, and IT specialists interested in understanding the intersection of artificial intelligence and cybersecurity. It's also beneficial for individuals looking to enhance their skills in identifying and managing AI-driven security risks in various environments.
How does the depth of this course compare to similar courses?
This course provides a focused exploration of AI-related cybersecurity challenges, specifically targeting vulnerabilities in machine learning models and the ethical implications of AI use. Compared to broader AI courses, it offers specialized insights into AI's role in cybersecurity, making it suitable for learners interested in deepening their expertise in this niche area.
What specific tools or platforms will I learn about?
The course addresses specific tools and platforms such as ChatGPT, providing insights into bypassing its ethical filters and understanding the associated security risks. This practical knowledge is essential for professionals aiming to secure AI deployments and protect against AI-driven social engineering attacks.
What topics are not covered in this course?
The course does not delve into general AI development techniques or non-security-related AI applications. Its focus is strictly on the intersection of AI and cybersecurity, including security risks, vulnerabilities, and the potential benefits AI brings to cybersecurity measures.
How much time should I expect to commit to this course?
The course is structured into seven lessons, allowing learners to progress at their own pace. Although the exact runtime is not specified, students should allocate adequate time to fully engage with each lesson and the associated material to gain a comprehensive understanding of AI and cybersecurity interdependencies.