According to Andrew Ng (@AndrewYNg), the new short course 'Governing AI Agents', co-created by Databricks and taught by Amber Roberts, addresses critical concerns around AI agent governance by equipping professionals with practical skills to ensure safe, secure, and transparent data management throughout the agent lifecycle (source: Andrew Ng on Twitter, Oct 22, 2025). The curriculum emphasizes four pillars of AI agent governance: lifecycle management, risk management, security, and observability. Participants will learn to set data permissions, anonymize sensitive information, and implement observability tools, directly addressing rising regulatory and business demands for responsible AI deployment. The partnership with Databricks highlights the focus on real-world enterprise integration and production readiness, making this course highly relevant for organizations seeking robust AI agent governance frameworks (source: deeplearning.ai/short-courses/governing-ai-agents).

According to DeepLearning.AI on Twitter, the newly launched 'Governing AI Agents' course, developed in collaboration with Databricks and taught by Amber Roberts, delivers practical training on integrating AI governance at every phase of an agent’s lifecycle (source: DeepLearning.AI Twitter, Oct 22, 2025). The course addresses critical industry needs by teaching how to implement governance protocols to safeguard sensitive data, ensure safe AI operation, and maintain observability in production environments. Participants gain hands-on experience applying governance policies to real datasets within Databricks and learn techniques for tracking and debugging agent performance. This initiative targets the growing demand for robust AI governance frameworks, offering actionable skills for businesses deploying AI agents at scale.

According to @Forbes, Berkeley AI Research highlighted that renowned billionaire and AI professor Ion Stoica continues to teach at UC Berkeley despite major business success, leveraging classroom engagement to accelerate AI research and nurture top talent for the global AI industry. His persistent presence in academia strengthens industry-academia collaboration, providing students with hands-on experience in AI entrepreneurship and fueling startups like Databricks. This approach is a driving force behind the Bay Area’s AI ecosystem, offering business opportunities for companies seeking skilled AI professionals and innovative solutions (Source: Forbes, forbes.com/sites/martinad…).

According to DeepLearning.AI (@DeepLearningAI), the new short course 'DSPy: Build and Optimize Agentic Apps,' developed in collaboration with Databricks, addresses key challenges in agent development such as brittle prompts, unclear intermediate steps, and inconsistent model performance. The course provides a structured framework for building robust agentic applications, emphasizing practical strategies to improve workflow transparency and reliability when switching between large language models. This initiative highlights a growing focus on scalable agent design and optimization, presenting a significant business opportunity for AI development teams seeking to streamline deployment and maintenance of production-ready agentic systems. (Source: DeepLearning.AI, Twitter, June 4, 2025)