Real-World AI Agents for Modern AI & Data Workflows

Real-World AI Agents for Modern AI & Data Workflows A two-day live workshop by Packt Publishing Limited Date: Saturday 26 – Sunday 27 September 2026, 14:00–18:00 UTC (each day) Format: Online event Organiser: Packt Publishing Limited --- ### 🧠 What’s the workshop about? AI agents are getting lots of attention, but many professionals aren't sure how to actually apply them in their day-to-day work. This hands-on, two-day workshop is designed to bridge that gap. You’ll learn how to design, build, and deploy practical AI and data workflows using Claude, Gemini, OpenAI, Python, and n8n. Through practical demonstrations and hands-on activities, instructor Ashley Nicholson will guide you in connecting AI agents with tools, data, and automated actions to achieve meaningful outcomes. The workshop caters to both technical and non-technical participants, focusing on real-world applications without overwhelming jargon. --- ### 🎯 What you’ll learn - AI Agents for real-world work – Understand what agents are and how they differ from basic chatbots and simple automation. - Design intelligent workflows – Turn repetitive business and data processes into structured AI-powered workflows. - Build with leading AI tools – Get hands-on with Claude, Gemini, OpenAI, Python, and n8n. - Connect AI with data and applications – Build workflows that gather information, analyse data, and complete multi-step tasks. - Deploy reliable AI workflows – Learn how to test, improve, and prepare agents for real-world use. - Security and human oversight – Explore privacy, access controls, responsible AI practices, and approval checkpoints. - Productivity and business value – Identify opportunities to save time, improve productivity, and create measurable value. --- ### 👥 Who is this for? This workshop is suitable for: - Business and technical leaders - Data and technology professionals - Non-technical professionals exploring AI - Anyone who wants to build agents for real-world workflows No advanced AI knowledge is required. --- ### 📅 Key Details - Duration: 1 day 4 hours (over two sessions) - Refund Policy: Refunds up to 7 days before event - Agenda includes: Networking & introduction,