
Discover how large language models predict the next token from context, not real intelligence, through probability-based word choices and simple examples like 'how do you feel'.
Prompts are the inputs you provide to large language models to generate a desired response, using natural language, structured commands, or code cues.
Explore how enterprise risk management operationalizes corporate governance by identifying, analyzing, prioritizing, and responding to preventable, strategic, and external risks—emphasizing cybersecurity, financial, environmental, and cloud-provider bankruptcy concerns, plus continuous monitoring.
Highlight the importance of security in generative ai by protecting sensitive data and privacy. Build trust and reliability with robust cyber security, ai systems integrity, and compliant practices.
Explore how bias and discrimination arise in general ai systems, how training data amplifies existing biases, and the resulting discriminatory decisions and legal risks.
Develop comprehensive governance policies with the Chennai committee, covering ethical standards, data security and handling, compliance checklists, transparency, and regular updates of regulations and tech changes.
This course contains the use of artificial intelligence.
Governance for Generative AI is a meticulously structured Udemy course aimed at IT professionals seeking to master Governance for Generative AI to leverage the power of generative AI. This course systematically walks you through the initial basics to advanced concepts with applied case studies. You will gain a deep understanding of the principles and practices necessary for effective governance. The course combines theoretical knowledge with practical insights to ensure comprehensive learning. By the end of the course, you'll be equipped with the skills to implement governance frameworks that align with your enterprise's strategic goals.
By learning Governance for Generative AI, you're gaining proficiency on how to effectively govern GenAI in your enterprise.
Key Benefits for you:
Basics - Generative AI: Gain a foundational understanding of generative AI, its capabilities, applications, and the challenges it presents in corporate environments.
Corporate Governance: Explore the principles of corporate governance and how they apply to AI ethics, compliance, and risk management in organizations.
Cybersecurity for Generative AI: Learn about the security risks associated with generative AI, including data privacy, adversarial attacks, and mitigation strategies.
Risks for Generative AI: Examine the key risks generative AI poses, such as misinformation, bias, regulatory concerns, and operational vulnerabilities.
Case Study - Building a Governance Program for GenAI: Analyze a real-world example of how organizations develop and implement governance frameworks to manage AI risks effectively.
Case Study - AI Governance with Azure Policy: Explore how Azure Policy can be leveraged to enforce AI governance, ensuring compliance and security in cloud-based AI systems.
This course contains promotional materials.