Agentic AI
About This Course
Most professionals using AI today are stuck in a manual loop: type a prompt, read the response, copy it somewhere, act on it, repeat. That loop has value, but it is still you doing the work.
Agentic AI breaks the loop. An AI agent does not just respond to a prompt. It plans, makes decisions, uses tools, takes actions, and works through a task autonomously — step by step. It can search the web, read and summarise documents, draft and send communications, pull data from systems, trigger other software, and hand off to the next step in a workflow, all without you doing it manually.
This is a hands-on, build-first course. You will spend the majority of your time actually setting up and running agents, not listening to lectures about them. By the end of two days, you will have built working agentic workflows that automate real business tasks — and you will have the knowledge to design, deploy, monitor, and refine them independently.
This is an advanced-level course for business professionals who are already confident users of generative AI tools and are ready to move from using AI to deploying it. No coding background is required.
What You'll Learn
- How agentic AI systems reason, plan, and act, and how this differs fundamentally from standard generative AI
- The agentic AI landscape: an honest assessment of what tools exist, what they can actually do, and where they still fail
- How to configure and instruct AI agents to behave predictably and stay on task
- How to connect agents to real tools: web search, documents, email, calendars, CRMs, and third-party apps
- How to design and build multi-step agentic workflows that chain tools, decisions, and actions into automated pipelines
- How to build human-in-the-loop approval checkpoints that preserve oversight without eliminating efficiency gains
- How to identify and fix common agent failures: task drift, hallucinated tool calls, and infinite loops
- How to deploy agents in live business environments and monitor their performance over time
- Real business applications across research, sales, operations, content, and customer communication
Entry Requirements
● Minimum age: 21
● 1 year of professional experience in a business, operations, knowledge work, or technology-adjacent role
● Demonstrated working proficiency with at least one mainstream generative AI tool (ChatGPT, Claude, Microsoft Copilot, Google Gemini, or equivalent), evidenced through prior completion of a foundational AI or prompt engineering course or equivalent on-the-job application
● Working familiarity with a connected productivity stack (Google Workspace, Microsoft 365, or equivalent)
● Comfort navigating web-based application settings and configuring integrations between applications
● Computer literate, with proficiency in productivity software and web-based tools
● Proficient in written and spoken English at a professional working level
● Diploma or equivalent professional qualification, or equivalent demonstrated industry experience
● Targeted at PMEs ready to move from using AI to deploying it. No coding background required