Join our webinars and live training sessions to learn how to build a data-driven organization. Even if you can’t attend live, we encourage you to register to receive a link to the on-demand recording.
For previously recorded webinars, view our on-demand webinars.
Ben Morss, a Developer Evangelist at DeepL, will teach you how to design and implement an AI agent for apartment hunting. You’ll explore how the Model Context Protocol works, what problems it solves, and how to spin up your own MCP server. Whether you’re experimenting with agents or building production-grade workflows, this session will give you the practical foundation you need.
In this code-along, we’ll build Promotion Tycoon—an agentic workflow that helps you define promotion criteria, align goals and KPIs, and continuously score your projects against them. You’ll learn core patterns for agent role design, capability scoping and tool use, memory & state management, and quality control loops (reviewers, critics, guards).
This session offers a clear roadmap for the Microsoft Azure AI Fundamentals Certification: what to study, how to book your exam, and how to leverage AI fluency to future-proof your career. This certification is your launchpad into the evolving world of applied AI.
Experts break down what ISO 42001 means for your organization and how it connects to other major frameworks. You’ll learn what to expect from an AI audit, how to assess and mitigate risks, and how to embed responsible AI principles into your company’s operations.
This 90-minute workshop highlights the process of earning SAS Knowledge Badges and provides students with the practical roadmap, resources, and software access needed to succeed. This session focuses on the "how-to" logistics of badge preparation - from navigating free SAS Academic Resources including access within SAS Skill Builder for Students to completing the digital learning courses aligned with the SAS Knowledge Badges.
Jonathan Cornelissen, the CEO at DataCamp, and Yusuf Saber, the CEO at Optima, will explore how organizations and individuals can adapt to this new era of AI-driven learning. You’ll learn how to think strategically about educational innovation, make high-impact bets on AI, and apply best practices for building and learning with emerging AI tools.
Rhys Phillips, Content Operations Manager at DataCamp, will show you how to generate AI videos from reference images and AI audio from sound clips, then combine them into a controllable avatar.
Eric Siegel, the CEO at Gooder AI, will show you how to estimate the financial value of a machine learning project from the ground up. You’ll learn how to connect model performance to real-world business outcomes, identify high-ROI project types, and discover strategies for maximizing your influence as a data professional.
In this panel interview, a group of AI researchers and industry practitioners, will discuss what separates successful AI implementations from the 95% that never make it. You’ll learn how to evaluate risk and reward, measure ROI effectively, and adopt practices that increase your organization’s AI success rate.
Jacob Buckman, the CEO at Manifest AI, will guide you through cutting-edge methods for LLM design, retraining, and deployment. You’ll explore how alternative attention mechanisms like power retention change model behaviour, how to repurpose pretrained models for new architectures, and how to engineer large-scale training pipelines.
Join us in the last webinar of the Data4Good competition. In this session, you will learn how to package your final analytics and AI solution using the hero’s journey framework. Learn practical tips from Clinical Professor Joseph Cazier and startup founder Aaron Burciaga