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.
Aaren Stubberfield, a Senior Data Science Manager at Ingredion, will guide you step by step through analyzing Chicago neighborhood data using common Python packages for data manipulation and spatial analysis.
Maria Eugenia Inzaugarat, a Senior Data Scientist at Firstleaf, will guide you step by step through analyzing patient insurance metrics and behaviour, and training a clustering model using common Python analytics libraries.
Experts share what it really takes to land a data science role today. You’ll learn which technical and soft skills matter most, how to build a portfolio that stands out, and what to expect from the interview process. The panel will also discuss how AI is reshaping the field—and how to future-proof your career in response.
Nate Amidon, President at Form100 Consulting, will explore how leaders can drive successful AI automation initiatives. You’ll learn how to align AI strategy with organizational priorities, choose the right technology stack for specific use cases, and redesign processes to maximize impact.
Joe Franklin, Learning Solutions Architect at DataCamp, will show you how to use Claude Cowork to build a competitor research bot for real productivity gains. You’ll learn practical automation principles, when to keep a human in the loop, and how to design a workflow that reliably gathers, organizes, and summarizes competitor information in a way your team can actually use.
Casius Sibanda Lee, AI Developer Advocate at Oracle, will show you how to build a memory-powered research agent using Claude Code and Oracle AI Database as the persistent memory core.
Calen Bedford, Security Architect at Insight Global, will walk through how to build an HR-focused AI agent in Claude Code using security-first design patterns. You’ll learn key principles for designing agents that handle sensitive data, including permissioning, tool boundaries, and the safe handling of inputs and outputs. By the end of the webinar, you’ll leave with a practical blueprint for building agents that can operate responsibly in HR and other high-risk domains.
Raj Bains, CEO at Prophecy, and Nagul Meera Mahankali, VP of Software Engineering at JPMorgan Chase, will discuss what it takes to successfully introduce tools like Claude Code into enterprise environments.
Tom Farnschläder, Data Science Editor at DataCamp, will show you how to design and build Claude Skills tailored to data tasks. You’ll create skills for exploratory data analysis and feature engineering, then apply them to a real soccer dataset to generate insights and build analysis-ready features. This session is ideal for analysts and data scientists who want practical, reusable AI workflows that improve quality—not just speed.
Dan Denney, a Senior Software Engineer at DataCamp, will guide you through building your own executive assistant using the OpenClaw platform. You’ll learn how to design and architect an assistant that can support real productivity tasks, while also exploring how to safely manage access to personal and organizational data.
Claire Williams, Senior Product Marketing Manager at DataCamp, will walk you through the upcoming roadmap for Q2. You’ll get insights into the new AI native learning experience, new content from the curriculum team, and forthcoming product features.
Jenna Pederson and Roie Schwaber-Cohen from Pinecone's Developer Relations team, show you how to build a live n8n workflow that routes rental property guest queries to the right knowledge base automatically. It's a concrete demo of a pattern that applies anywhere you have different users or steps in a workflow that need different context.
L&D experts explore practical ways to apply AI across learning programs. You’ll hear which processes can be automated, how AI can enhance learner outcomes, and what projects are best suited for getting started. The panel will also discuss how to adopt AI responsibly while maintaining trust and quality.
Len Ward, Managing Partner & Head of AI at Commexis, will show you how to build custom GPTs tailored to marketing tasks. You’ll learn how to design effective prompts, identify high-impact automation opportunities, and create workflows that combine AI efficiency with human oversight.
Greg Michaelson and Jason Hillary, the CPO and CTO at Zerve AI, will guide you through building and analyzing a synthetic power grid using Zerve AI’s data science notebooks and agentic workflows. You’ll explore how AI agents can assist with data analysis, optimization, and decision-making, while gaining hands-on experience with a realistic energy systems scenario.
Yuval Belfer, a Senior Developer Advocate at AI21 Labs, will unpack the four key gaps that prevent AI systems from making it to production: validation, contextualization, latency, and decomposition. You’ll learn why single-run performance is misleading, how real-world inputs differ from benchmark averages, and why orchestration—not just model quality—is the key to scaling AI systems.
Claire Williams, a Senior Product Marketing Manager at DataCamp, will explore how organizations can use AI-native learning to deliver a personal-tutor experience to every employee. You’ll learn best practices for running online and hybrid training programs across diverse roles, and how to track adoption, engagement, and progress using learning analytics.
Lyndsay Girard, the Manager of Performance Analytics at Halton Healthcare, will guide you through building a healthcare dashboard using Power BI and Copilot. You’ll work through a real-world healthcare case study, learn how to design clear and meaningful visuals, and explore how AI assistance can accelerate dashboard creation and analysis.