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AI agents are automating pipeline work and reshaping data engineering teams. Learn how the role is evolving, where AI agents add the most value, and the skills data engineers and their leaders need to thrive in an AI-augmented environment.
AI agents can now write SQL, generate analysis code, and surface insights in minutes. Hear how data science and analytics work is changing, which skills are becoming more valuable, and how leaders can build teams that thrive alongside AI.
Slow, costly SQL queries drain data teams. In this code-along, learn how to use AI agents to diagnose and fix SQL performance, apply the principles of high-performance SQL, and work through real-world enterprise database case studies.
Understand what the EU AI Act means for your organization. You'll learn how the risk classification system works, what AI literacy requirements demand of your teams, and how to build a compliance program that meets regulatory expectations and avoids serious penalties.
The DataCamp MCP connects the AI tools you already use directly to DataCamp. Learn how to create assignments, invite members, and get quick insights into how your teams are learning, all from a simple chat prompt.
Industry experts Jonathan Wall (CEO at Runloop) and Jacqueline Karlin (CEO at Agentic Commerce Advisory) explore what agentic commerce means in practice, how agent-led shopping transforms the retail stack, and what leaders need to do now to stay competitive.
Industry expert Jim Cook, founder of Agentic Landmark and creator of the Agent Readiness Index, walks through a practical framework for assessing your organization's readiness for agentic commerce and prioritising the investments that close the gaps.
Learn how to structure and prepare retail product data for agentic AI workflows, design an agent that interprets shopper intent across a large catalogue, and deploy a working tool that guides customers to the right product.
Get a first look at what's ahead at DataCamp in 2026Q3. Claire Williams walks you through the upcoming product and curriculum roadmap, including the new AI tutor learning experience, new content from the curriculum team, and forthcoming product features for individuals and enterprises.
Learn how to design and build an autonomous research agent with Manus and Oracle — working through an end-to-end agentic workflow, managing agent memory and architecture, and applying enterprise governance guardrails so your agent operates safely and reliably at scale.
AI Engineer Nihal Kumar Kadri walks you through building a shopping assistant with Hermes, the open-source agentic framework from Nous Research. You'll learn how to architect effective agents, leverage Hermes's persistent memory and skill system, and apply the framework to a real-world e-commerce automation use case.
NanoCo Founding AI Engineer Amit Shafnir shows you how to build a secure AI professional assistant with NanoClaw, the open source, container-isolated framework built on frontier agent SDKs. You'll start from an out-of-the-box agent template and customise it for a real business use case, with security and governance built in.
Industry experts from Liminal, BAND, and Uniphore tackle the challenge of governing AI agents in enterprise environments. You'll learn what good AI governance looks like in practice, how to manage agents safely in regulated industries, and the best practices to adopt agentic AI without putting your business at risk.
AWS experts Sowjanya Pandruju and Dilip Karandikar show you how to harness Amazon Quick, AWS's AI assistant for work, to automate routine office tasks end to end. You'll learn how Amazon Quick integrates safely into enterprise environments before walking through a practical use case: analysing sales data and generating a polished report.
Make progress on the go with our mobile courses and daily 5-minute coding challenges.