Video by Open Data Science and AI Conference via YouTube
Most professionals are now using AI tools, but the next step is learning how AI systems, agents, and automated workflows are actually built. In this session, we’ll break down the core skills behind modern AI builders – from LLMs, prompting, context, memory, tools, retrieval, and evaluation to coding assistants, workflow automation, and agentic systems.
This session is designed for both technical and non-technical professionals. We’ll cover how developers are using tools like Codex, Claude Code, Cursor, and GitHub Copilot to build faster, while also looking at how managers, analysts, marketers, sales teams, product leaders, and operations teams can use AI agents and workflow tools to automate real work.
You’ll leave with a practical roadmap for moving from AI user to AI builder, including what to learn first, which concepts matter most, and how the ODSC AI Accelerator provides a structured hands-on path for going deeper.
Who should attend:
AI practitioners, data scientists, analysts, software developers, ML engineers, data engineers, product managers, business leaders, operations teams, sales and marketing professionals, and anyone looking to build practical skills with AI agents and workflows.