Cybersecurity

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, 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.

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.

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, 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 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.

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.