According to @DeepLearningAI, the AI Developer Conference has published its full agenda and speaker lineup featuring experts from Google, AWS, Vercel, Mistral, Neo4j, Arm, and SAP; source: DeepLearning.AI on X, Oct 23, 2025; agenda: hubs.la/Q03PWRbj0. According to @DeepLearningAI, key sessions include Andrew Ng on the current state of AI development, Miriam Vogel on responsible AI and governance, Kay Zhu on scaling Super Agents, Malte Ubl and Fabian Hedin on AI-driven software systems, and João Moura with Hatice Ozen on advancing agentic architectures; source: DeepLearning.AI on X, Oct 23, 2025. According to @DeepLearningAI, the demo area will showcase the latest AI tools and applications from Databricks, Snowflake, LandingAI, Prolific, and Redis; source: DeepLearning.AI on X, Oct 23, 2025. According to @DeepLearningAI, these agenda items and demos are explicitly highlighted in the official program, creating clear event-driven watch points for traders tracking AI infrastructure and agentic AI tooling; source: DeepLearning.AI on X, Oct 23, 2025; agenda: hubs.la/Q03PWRbj0.

According to Andrew Ng, a new short course titled Governing AI Agents, created with Databricks and taught by Amber Roberts, teaches how to design AI agents that handle data safely, securely, and transparently across their lifecycle, with emphasis on production readiness; source: Andrew Ng on X, Oct 22, 2025. The curriculum covers four pillars of agent governance—lifecycle management, risk management, security, and observability—and skills such as defining data permissions, creating restricted views or SQL queries, anonymizing and masking sensitive data, and logging, evaluating, versioning, and deploying agents on Databricks; source: Andrew Ng on X, Oct 22, 2025. Ng highlights that governance prevents agents from autonomously accessing sensitive data, exposing personal information, or modifying sensitive records, positioning governance as key to safe, production-grade deployments; source: Andrew Ng on X, Oct 22, 2025. The sign-up link is hosted by DeepLearning.AI, confirming availability of this governance-focused training for practitioners deploying AI agents; source: DeepLearning.AI short course page link shared by Andrew Ng on X, Oct 22, 2025.

According to @DeepLearningAI, it launched a new course titled Governing AI Agents, built in collaboration with Databricks and taught by Amber Roberts, to integrate governance into every stage of an agent’s lifecycle from design to production. Source: @DeepLearningAI, Oct 22, 2025, https://twitter.com/DeepLearningAI/status/1981026272995066288 According to @DeepLearningAI, the curriculum shows how to apply governance policies to a real dataset in Databricks and how to add observability to track and debug performance, enabling auditable agent behavior in production. Source: @DeepLearningAI, Oct 22, 2025, https://twitter.com/DeepLearningAI/status/1981026272995066288 According to @DeepLearningAI, the course emphasizes that as agents gain access to sensitive data, governance ensures they operate safely, protect private information, and remain observable in production. Source: @DeepLearningAI, Oct 22, 2025, https://twitter.com/DeepLearningAI/status/1981026272995066288 According to @DeepLearningAI, enrollment details are available via the course link. Source: @DeepLearningAI, Oct 22, 2025, https://hubs.ly/Q03PJKlM0

According to DeepLearning.AI, their newly launched DSPy: Build and Optimize Agentic Apps course, created in partnership with Databricks, directly addresses key technical barriers in agent development such as brittle prompts, ambiguous intermediate steps, and significant performance drops when switching AI models (source: DeepLearning.AI Twitter, June 4, 2025). For crypto traders and quantitative developers, mastering these skills is critical, as the reliability and adaptability of automated trading bots depend on robust agentic architectures. Enhanced agentic apps can drive higher trading execution accuracy and resilience across volatile crypto markets, especially when adapting to new or updated language models.