Explore how AI agents go beyond one-off prompts to handle multi-step tasks, connect information, and produce useful outputs.
$45 Free · Live Online
You already use AI. Now see how to delegate more complex work to it.
"I use ChatGPT pretty often, but I'm doing the same work in the same way."
"Our boss keeps asking why we are not using agents to do more. I don't know where to begin…"
"Every open job role I see is asking for proof of work I've done with AI."
Let AI handle recurring tasks
Connect steps into one process
Turn inputs into ready-to-use outputs
Spend less time on routine work
Start over each time
Handle each step manually
Take over after every response
AI helps, but you do the rest
Learn from a practitioner with 10+ years building machine learning and agentic AI workflows across industries.
AI & Data Science Practitioner
Explore the shift from using AI to answer individual questions to delegating defined, multi-step tasks to AI agents.
The ShiftUnderstand the basics: define a goal, provide context, let the workflow move through steps, and review its output.
Core ConceptsSee Claude work across separate sources of information, identify patterns and gaps, and organize what matters into useful outputs.
Live DemoExplore how one workflow can turn source material into a clear insight report, concise summary, and follow-up drafts.
Work OutputsSee how structured, mentor-led learning can help you move from understanding AI agents to building no-code workflows for your own work.
What’s NextBring your questions about AI agents, workflow design, tools, and where this way of working could fit in your role.
Q&AMany AI tools respond to a prompt or help with one task. AI agents can work through a sequence of steps toward a defined goal, using context and information from different sources to produce an outcome.
It is a way to describe AI agents that can be assigned defined work across a workflow. It is a metaphor, not a claim that AI is a literal employee: people still set the goal, provide context, and review the result.
No. The session is designed for working professionals, not just developers. We will explain the concepts in plain language and demonstrate a workflow without requiring you to write code.
The session is for working professionals who want to use AI beyond one-off prompts. The concepts apply across Marketing, Finance, HR, Sales, Operations, Product, Consulting, and other functions.
You will learn how AI agents differ from everyday AI tools and how multi-step workflows use context and information. A live example will show an agent bringing multiple sources together and turning them into useful outputs.
No. You can watch the live demonstration without setting anything up. The tools will be shown during the session; access to them may be needed only if you later choose to recreate a similar workflow.
Yes. A recording will be shared after the session. Details on how to access it will be sent to registered attendees.
The masterclass focuses on the concepts and live demonstration. We will also introduce Great Learning’s AI-Native Professional Program for those who want structured, mentor-led practice building their own AI workflows.
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