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Cortez Lake

Welcome to "AI Driven Cybersecurity: Leveraging the power of ChatGPT and Generative AI." This course will guide you through the powerful combination of artificial intelligence and cybersecurity, highlighting what ChatGPT and Generative AI can do. We'll discuss the details of these technologies while emphasizing the importance of ethical use.

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Welcome to "AI Driven Cybersecurity: Leveraging the power of ChatGPT and Generative AI." This course will guide you through the powerful combination of artificial intelligence and cybersecurity, highlighting what ChatGPT and Generative AI can do. We'll discuss the details of these technologies while emphasizing the importance of ethical use.

Throughout the course, we will navigate the evolving landscape of AI-enhanced cybersecurity, focusing on both the opportunities and challenges that emerge. We'll address concerns about security, privacy, and risks. We'll also touch on rules and regulations, giving insights into the laws that govern artificial intelligence.

To ensure a comprehensive understanding, we have incorporated real-world examples. These practical examples are tailored to give you firsthand experience, preparing you for real-world scenarios that you can demonstrate as you deploy this technology.

As we move through the course, we'll share industry insights, ending with a discussion about Generative AI's impact on cybersecurity and the potential use of security co-pilots to enhance productivity and efficiency. Through this course, you'll not only grasp the basics of Generative AI but will also see its potential for personal and business growth. By the end, you will be equipped with the knowledge and tools to be at the forefront of AI-driven cybersecurity.

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What's inside

Learning objectives

  • Understand the foundational principles of employing chatgpt and generative ai tools within the realm of cybersecurity.
  • Gain a comprehensive understanding of fundamental topics, including foundation models (fm), large language models (llm), and applications of generative ai.
  • Evaluate the risks associated with large language models (llm) and understand the principles of responsible ai.
  • Understand how to strategically deploy chatgpt in cybersecurity and establish strong guardrails for secure ai utilization.
  • Gain proficiency in best practices for incorporating generative ai into enterprise settings.
  • Understand the changing dynamics of ai investments and their implications for the field of cybersecurity.
  • Learn about the functions of security co-pilots and comprehend the strategic benefits they offer.

Syllabus

Introduction
Course Introduction
By the end of this section, you will have a comprehensive understanding of Chat GPT and similar Generative AI applications.
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By participating in this knowledge check, you'll reinforce your understanding, identify areas of mastery, and gain the confidence to apply your knowledge effectively.

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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches learners how to use tools and software that are highly relevant to cybersecurity and are used in industry
Provides a mix of theory and practical experience, which helps learners understand the concepts and apply them in real-world scenarios
Introduces learners to emerging technologies in the field and helps them understand their potential impact on cybersecurity
Covers both the technical and ethical aspects of AI-driven cybersecurity, providing a comprehensive understanding of the field
Incorporates real-world examples and case studies, making the learning experience more engaging and practical

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Reviews summary

Ai cybersecurity: overview and applications

According to learners, this course offers a highly relevant and timely introduction to the intersection of artificial intelligence and cybersecurity. Students praise its focus on practical applications of tools like ChatGPT, providing a solid understanding of how AI can be leveraged in security operations. Many found the real-world examples and discussions on ethical use, responsible AI, and LLM risks to be particularly insightful and well-explained. The course effectively covers foundational principles and concepts like prompt engineering, making complex topics accessible. While it provides a strong overview for enterprise deployments and security co-pilots, some learners noted a desire for more in-depth technical implementation details or hands-on labs, suggesting it serves best as a comprehensive introduction rather than a deep technical dive.
Content generally considered current and relevant to today's landscape.
"The content felt very up-to-date, which is crucial for an AI-focused course."
"Absolutely vital course for today's cyber landscape; it feels current and relevant."
"While some older content might be slightly outdated due to the rapid pace of AI, the core is strong."
"I found the course maintained its relevance well, covering the evolving landscape effectively."
Strong emphasis on responsible AI and managing LLM risks.
"The focus on ethical considerations for AI in cybersecurity was insightful and timely."
"The section on prompt engineering and LLM risks was particularly useful for real-world scenarios."
"I appreciated the emphasis on responsible AI use and the guardrails for secure AI utilization."
"The coverage of hallucinations and compliance aspects was excellent and much needed."
Provides a clear and accessible understanding of core AI concepts.
"A solid introduction to AI in cybersecurity. The section on prompt engineering and LLM risks was particularly useful."
"I was hesitant about taking an AI course, but this one made the complex topic accessible."
"It explains complex topics like LLMs and foundation models in an understandable way."
"I found the well-paced lectures and clear explanations helped me grasp core concepts easily."
Focuses on real-world use cases and deployment strategies.
"The coverage of ChatGPT's application in security operations and the ethical considerations were very insightful."
"The real-world examples were highly relevant and helped me understand deployment strategies for AI in cyber."
"The focus on practical applications and security co-pilots opened my eyes to new possibilities in my work."
"It bridges the gap between AI concepts and real-world cybersecurity challenges beautifully, making it vital."
Offers broad coverage but some desire more technical depth.
"I would have liked a bit more depth in the technical implementation details, but for an overview, it's great."
"If you're looking for deep technical dives, you might need supplemental material as this is more foundational."
"The content felt a bit superficial, and I was hoping for more hands-on demos or labs."
"The technical depth wasn't there for me; I expected more integration of AI tools, not just theoretical discussions."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI-Driven Cybersecurity with these activities:
Follow tutorials on how to use ChatGPT for cybersecurity
Develop a deeper understanding of how to use ChatGPT to enhance cybersecurity by following guided tutorials.
Browse courses on ChatGPT
Show steps
  • Search for online tutorials that provide step-by-step instructions on how to use ChatGPT for cybersecurity tasks, such as threat detection or vulnerability management.
  • Select a tutorial that is appropriate for your skill level and interests.
  • Follow the instructions in the tutorial carefully and complete all the exercises.
  • Experiment with ChatGPT on your own to apply what you have learned in the tutorial to real-world cybersecurity scenarios.
Practice using ChatGPT to generate code
Generate different types of code using different programming languages with the help of ChatGPT to solidify your understanding of how ChatGPT can help you develop code.
Browse courses on ChatGPT
Show steps
  • Select a programming language that you are familiar with, such as Python or Java.
  • Describe the type of code you want ChatGPT to generate, such as a function to calculate the factorial of a number or a class to represent a linked list.
  • Generate the code using ChatGPT.
  • Test the generated code to ensure that it works correctly.
Write a blog post or article about how ChatGPT can be used for cybersecurity
Demonstrate your understanding of how ChatGPT can enhance cybersecurity by creating informative content, which will also help you improve your writing skills.
Browse courses on ChatGPT
Show steps
  • Research different use cases of ChatGPT for cybersecurity.
  • Choose a specific topic that you are interested in and have some knowledge about.
  • Write a blog post or article that explains how ChatGPT can be used to address that specific cybersecurity topic.
  • Share your blog post or article online and promote it through social media or other channels.
Two other activities
Expand to see all activities and additional details
Show all five activities
Participate in cybersecurity competitions that use ChatGPT
Engage in friendly competition and test your skills by incorporating ChatGPT into your approach in cybersecurity competitions.
Browse courses on ChatGPT
Show steps
  • Research cybersecurity competitions that allow the use of ChatGPT.
  • Form a team or work independently to develop a solution that leverages ChatGPT's capabilities.
  • Implement your solution and submit it to the competition.
  • Analyze the results and identify areas for improvement.
Develop a prototype of a cybersecurity tool that uses ChatGPT
Showcase your ability to apply ChatGPT to cybersecurity by creating a tangible prototype of a tool that utilizes ChatGPT's capabilities.
Browse courses on ChatGPT
Show steps
  • Identify a specific cybersecurity problem that you want to address with your tool.
  • Design the architecture and functionality of your tool, considering how ChatGPT can be integrated to enhance its capabilities.
  • Develop a prototype of your tool, implementing the necessary ChatGPT integration.
  • Test your prototype and gather feedback from potential users.

Career center

Learners who complete AI-Driven Cybersecurity will develop knowledge and skills that may be useful to these careers:
AI Security Engineer
In the role of an AI Security Engineer, one will be responsible for developing and implementing strategies to protect AI systems and data from cyber threats. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's computer systems and networks. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Security Engineer
A Security Engineer designs, implements, and maintains security measures to protect an organization's computer systems and networks. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Data Scientist
A Data Scientist uses data to identify patterns and trends that can be used to improve decision-making. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models to solve real-world problems. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Security Researcher
A Security Researcher identifies and analyzes security vulnerabilities in computer systems and networks. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Cybersecurity Architect
A Cybersecurity Architect designs and implements security measures to protect an organization's computer systems and networks. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' can be useful for Cybersecurity Architects, as it provides insights into the latest advancements in AI-driven cybersecurity, including the use of ChatGPT and Generative AI. The course also covers industry best practices for deploying AI in cybersecurity and establishing strong security guardrails.
Systems Engineer
A Systems Engineer designs, implements, and maintains computer systems and networks. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Penetration Tester
A Penetration Tester attempts to exploit vulnerabilities in an organization's computer systems and networks to identify security weaknesses. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' would be particularly beneficial for individuals in this role, as it provides a comprehensive understanding of the fundamentals of AI and its application in cybersecurity. The course also covers best practices for incorporating generative AI into enterprise settings.
Security Analyst
A Security Analyst monitors an organization's computer systems and networks for security threats. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' may be helpful for Security Analysts, as it provides insights into the latest advancements in AI-driven cybersecurity, including the use of ChatGPT and Generative AI. The course also covers industry best practices for deploying AI in cybersecurity and establishing strong security guardrails.
Chief Information Security Officer (CISO)
The Chief Information Security Officer (CISO) is responsible for overseeing an organization's information security program. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' may be helpful for CISOs, as it provides a comprehensive overview of the latest advancements in AI-driven cybersecurity, including the use of ChatGPT and Generative AI. The course also covers industry best practices for deploying AI in cybersecurity and establishing strong security guardrails.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' may be helpful for Software Engineers, as it provides insights into the latest advancements in AI-driven cybersecurity, including the use of ChatGPT and Generative AI. The course also covers industry best practices for deploying AI in cybersecurity and establishing strong security guardrails.
Security Consultant
A Security Consultant provides advice and guidance to organizations on how to protect their computer systems and networks from cyber threats. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' may be helpful for Security Consultants, as it provides insights into the latest advancements in AI-driven cybersecurity, including the use of ChatGPT and Generative AI. The course also covers industry best practices for deploying AI in cybersecurity and establishing strong security guardrails.
Cloud Architect
A Cloud Architect designs and implements cloud computing solutions. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' may be helpful for Cloud Architects, as it provides insights into the latest advancements in AI-driven cybersecurity, including the use of ChatGPT and Generative AI. The course also covers industry best practices for deploying AI in cybersecurity and establishing strong security guardrails.
DevOps Engineer
A DevOps Engineer combines software development and operations to improve the efficiency and reliability of software delivery. The course 'AI-Driven Cybersecurity: Leveraging the Power of ChatGPT and Generative AI' may be helpful for DevOps Engineers, as it provides insights into the latest advancements in AI-driven cybersecurity, including the use of ChatGPT and Generative AI. The course also covers industry best practices for deploying AI in cybersecurity and establishing strong security guardrails.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AI-Driven Cybersecurity.
Provides a technical overview of modern network security threats and countermeasures.
Offers a comprehensive overview of cybersecurity concepts and best practices for non-technical professionals. It serves as a primer for understanding the fundamentals of cybersecurity and the measures required to protect personal and organizational data.
Offers a practical introduction to data analysis using Python. It covers essential libraries such as Pandas, NumPy, and Jupyter, providing a solid foundation for working with data and performing data analysis tasks.

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