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.
Industry experts will explore what it means to lead an AI-native data team. They will discuss which roles to hire for, how to reskill existing staff, and how to reengineer data processes around AI. They will also share practical approaches to measuring the impact of your data team in an AI-native environment.
Rachel Irabor, AI Techno-Functional Consultant and Microsoft MVP, will show you how to use Microsoft Copilot to draft, refine, and improve reports in Microsoft Word, and how to check the quality of AI output.
Industry experts will explore how non-technical teams can start getting real value from AI today. They will share practical approaches to rolling out AI across entire organizations, discuss what it takes to build a culture of AI literacy, and offer best practices for driving successful AI transformation at every level.
Manny Bernabe, from the community team at Replit, teaches you agentic data analysis workflows. You'll learn how to extract data from data warehouses like BigQuery, Databricks and Snowflake, crunch the numbers, then draw interactive plots, and bundle your results into a custom analytics app.
Experts explore how AI is being applied across legal work today, from drafting and research to litigation intelligence.
Eric Siegel, CEO at Gooder AI, shows you how to use predictive AI to increase the power and value of generative AI. You'll learn how to assess the business impact of predictive AI, how predictive, generative, and agentic AI relate to each other, and why mastering predictive methods is often the key to making genAI reliable enough to deploy in production.
Sumeet Dhillon explores the core value of the Google Associate Cloud Engineer certification and how it accelerates career growth in cloud computing. You'll learn the essential cloud skills, efficient ways to prepare, and how to use your certification to drive real-world impact.
Tom Nassr, CEO at X-RAY, shows you how to use Claude Chat for everyday tasks and how to automate your work with Cowork. You'll learn how to write better prompts, handle real office tasks, and set up automated workflows, then build your first Claude skill.
Anshika Agarwal, Product Designer at Foolproof, shows you how to use Claude Design to build a complete, product-ready design from scratch. You'll follow the full workflow, from idea to design brief to polished final designs, plus quality control techniques to review and refine your work.
David Benaim, Data Visualization Consultant at Xlconsulting Asia, shows you how to use Claude to control Excel through natural language. You'll learn how to create and manipulate spreadsheets without writing formulas by hand, and see AI-assisted data analysis in action on a real product analytics project.
Deepti Bahel, Senior Data Engineer & Founder at MediMate Foundation, shows you how to use Claude Code to build a simple, interactive website from the ground up. You'll set up Claude Code, use AI-assisted workflows to speed up development, and make your site interactive.
James Cha-Earley shows you how to use Snowflake CoCo to handle real data engineering tasks through natural language. You'll work through AI-native pipeline workflows, see how CoCo fits into the tools you already use, and build a Streamlit app with AI assistance, a complete workflow you can take straight back to your stack.
Deepak Goyal, Founder at Azurelib Academy, shows you how to add intelligent decision nodes to real data pipelines with the Jev "system one" model. You'll learn how Jev classifies, routes, and scores data, then build a working pipeline using Jev, Airflow, and Azure so you can replace brittle rule-based logic with fast, reliable AI decisions.
Industry experts from Genesis Computing, Kubrick Group, Snowflake, and Databricks explore how AI agents have changed the data engineering role and what that means for leaders. They cover the latest tech stacks and ways of working that high-performing teams are adopting, and the skills that data engineering leaders and their teams need to succeed in an AI-first environment.
Sadie Martin, Product Manager at Fivetran, shows you how to build an end-to-end data pipeline using Fivetran for ingestion and dbt for transformation. You'll learn how to use AI agents to help you write, debug, and maintain pipeline code, plus quality control principles for building pipelines that are robust and ready to scale.
Boek onderweg vooruitgang met onze mobiele cursussen en dagelijkse coding-uitdagingen van 5 minuten.