Application Security

Bernease HermanDeepLearning.AI

In this course, you will explore new metrics and best practices to monitor your LLM systems and ensure safety and quality. You will learn to identify hallucinations, detect jailbreaks, and identify data leakage. Additionally, you will build your own monitoring system to evaluate app safety and security over time. By the end of the course, you will be able to identify common security concerns in LLM-based applications and customize your safety and security evaluation tools.

Microsoft Learn

In this course, learners will delve into the functionalities of GitHub Copilot, understanding how to leverage this AI tool to enhance their development processes. The course covers the ethical considerations and governance frameworks necessary for responsible AI usage, ensuring that participants can implement AI solutions that are transparent, fair, and accountable.

Microsoft Learn

In this comprehensive module, you will learn how to manage AI data security challenges using Microsoft Purview. The course covers sensitivity labels in Microsoft 365 Copilot, securing against generative AI data exposure with endpoint DLP, detecting generative AI usage with Insider Risk Management, and dynamically protecting sensitive data with Adaptive Protection. This module is designed to equip you with the necessary skills to handle data security challenges in AI environments effectively.

Microsoft Learn

In this comprehensive module, you will learn how to secure Azure AI services effectively. The course covers essential topics such as authentication and network security management, equipping you with the skills to protect user data and maintain privacy. Ideal for IT professionals and Azure administrators, this module will enhance your ability to manage Azure AI services securely.

Grow with Google

In this course, you will learn about the critical aspects of AI privacy and security. You will explore practical tools and methods to implement recommended practices using Google Cloud products and open-source tools. By the end of the course, you will have a solid understanding of AI privacy and security, enabling you to enhance your career in the cloud industry.

IBM Training

In this course, you will explore the fundamentals of AI Governance and learn how to utilize IBM's watsonx.governance for effective AI model management. The course covers key concepts and tools necessary for risk and compliance officers, as well as solution architects, to implement robust AI governance frameworks. By the end of the course, you will be equipped with the knowledge to advance your career in AI governance.

Microsoft Learn

In this course, you will gain comprehensive knowledge on implementing information security for sensitive data using Microsoft Purview. You will learn to protect data within Microsoft 365 collaboration environments, manage security alerts, and respond to incidents. The course covers essential topics such as information protection, data loss prevention, retention, and insider risk management, providing you with the skills to safeguard data used by AI services and implement effective security controls.

Coursera

In this course, you will explore types of AI, machine learning, the AI development lifecycle, AI governance & risk management, and the legal landscape surrounding AI. You will gain insights into responsible AI principles and frameworks, enhancing your ability to manage AI risks and implement governance effectively.

Microsoft Learn

In this course, you will explore the purpose and benefits of Microsoft Purview DSPM for AI, learning to set up and configure it to monitor AI interactions effectively. Gain insights into identifying and analyzing AI security risks, running data assessments, and applying security policies to protect AI-referenced data. This course is designed to equip you with the skills needed to manage AI data security and compliance effectively.

Microsoft Learn

In this comprehensive module, you will explore the intricacies of managing compliance with Microsoft Purview for Microsoft 365 Copilot. Gain insights into auditing, investigating, and managing data retention, while learning to monitor and mitigate risks in AI interactions. This module is designed to equip you with the necessary skills to ensure compliance and data governance in your organization.

Microsoft Learn

In this comprehensive learning path, you will develop skills in securing and governing data within AI-driven environments. Using Microsoft Purview, you will learn to navigate AI risks and ensure compliance, adapting your security and governance strategies to the evolving landscape of AI technology. This path will equip you with the knowledge to handle compliance aspects of AI functionalities and enforce security policies effectively.

Huy Nguyen TrieuCFTE

In this course, you will master the fundamentals of generative AI and its applications in cybersecurity. You will explore real-world AI applications, learn to use cutting-edge AI tools for threat detection and predictive analytics, and understand the ethical considerations and regulations surrounding AI. The course includes hands-on projects and expert interviews to provide practical insights and strategies for implementing AI in your organization.

José Andrés Nogueira BlancoUniversidad Europea

In this course, you will learn to identify and manage technological legal risks, ensuring regulatory compliance. You will develop skills to resolve legal conflicts related to technology, such as intellectual property disputes, e-commerce, or data privacy. Additionally, you will acquire knowledge to implement legal technologies to improve efficiency and develop competencies in data protection, privacy, and information security. The course will also cover advanced topics like blockchain, smart contracts, artificial intelligence, robotics, the Internet of Things, and big data.

Codecademy

In this course, you will delve into the intricacies of mobile platform security, focusing on the role of generative AI in both attacking and defending mobile applications. Learn to identify common vulnerabilities, execute AI-driven attacks, and implement effective security measures. By the end, you'll be equipped to navigate the complex landscape of mobile security and leverage AI to enhance protection strategies.

Kevin WerbachWharton Aresty Institute of Executive Education

This program equips executives with essential tools to navigate AI complexities, offering insights from data science, law, psychology, and strategy. Participants will learn to anticipate AI controversies, mitigate risks, and assess their organization's AI readiness. The course includes a capstone project to apply learnings in real-world scenarios.

Codecademy

This course delves into the integration of generative AI with traditional hacking techniques, focusing on covering tracks and maintaining access in compromised systems. Participants will learn to orchestrate AI-assisted operations, identify advanced track-covering activities, and analyze real-world case studies, equipping them with cutting-edge skills in cybersecurity.