AI for business
AI Agents training courses
Agentic AI for business teams: understand AI agents, automate workflows safely and keep control with human-in-the-loop and governance.
AI agents go a step beyond conventional chat assistants: they plan sub-tasks, use tools such as search, files or business applications and complete multi-step work largely on their own. Over two days you will learn how agents are built, how they differ from chatbots and traditional automation, and which tasks genuinely justify their use. Widely used platforms serve as practical examples, including Microsoft Copilot Studio, custom GPTs and Claude with projects and tool connections.
In the hands-on sessions you design agent workflows for tasks from your own area of work, from triaging requests through research and drafting to handing results over to business systems. You decide where a person reviews and approves, which permissions an agent receives and how errors are detected. A dedicated block covers governance, data protection and accountability, so that your agents not only work but remain controllable, traceable and defensible within your organisation.
Core content of every AI Agents course
Module 1 What makes an AI agent
- Agent building blocks: language model, instructions, knowledge, tools and memory
- How agents differ from chatbots, macros and classic workflow automation
- Levels of autonomy: from suggestion-making assistants to agents that act independently
- Realistically judging which tasks suit agents and which do not
Module 2 Platform overview: Copilot Studio, GPTs and Claude
- Microsoft Copilot Studio: agents grounded in company data and connected to Microsoft 365
- Custom GPTs: configuring instructions, knowledge files and actions
- Claude with projects, knowledge bases and tool access via the Model Context Protocol
- Selection criteria: data access, integrations, administration and licensing
Module 3 Designing and building agent workflows
- Breaking tasks into steps and defining hand-offs between agent and human
- Writing system instructions, examples and knowledge sources for consistent output
- Connecting tools: search, documents, email, spreadsheets and business applications
- Building a prototype agent for a real process from your own area
Module 4 Human-in-the-loop, quality and error handling
- Setting approval steps, escalation rules and thresholds for human review
- Test cases, evaluation criteria and spot checks for quality assurance
- Common failure modes: wrong tool choice, endless loops and fabricated facts
- Using structured user feedback to improve the agent over time
Module 5 Governance, security and roll-out
- Roles and responsibilities across business units, IT, data protection and works council
- Least-privilege permissions, logging and protection against prompt injection
- Positioning under the EU AI Act and GDPR: transparency, documentation and data flows
- From pilot agent to production: operation, maintenance and measuring success
What you will be able to do
- You can explain how AI agents are structured and clearly distinguish them from chatbots and classic automation.
- You can select a suitable agent platform for your requirements using transparent criteria.
- You can design an agent workflow for a real process in your area and build a working prototype.
- You can define human-in-the-loop checkpoints, test cases and escalation rules.
- You can draft a governance concept covering permissions, logging and clear accountability.
All 45 AI Agents courses
Business fields (45)
- AI Agents for Assistants and Office Managers
- AI Agents for the Automotive Industry
- AI Agents for Banks
- AI Agents for Construction and Architecture
- AI Agents for Consultants
- AI Agents for Educators
- AI Agents for Accounting Teams
- AI Agents for Compliance and Data Protection Teams
- AI Agents for Content and PR Teams
- AI Agents for Controllers
- AI Agents for Data Analysis and Excel
- AI Agents for E-Commerce Teams
- AI Agents for Procurement Teams
- AI Agents for the Energy Sector
- AI Agents for Event Managers
- AI Agents for Finance Teams
- AI Agents for Researchers
- AI Agents for Leaders
- AI Agents for Healthcare Professionals
- AI Agents for Founders and Startups
- AI Agents for Retail
- AI Agents for Hospitality and Tourism
- AI Agents for IT Service Desk and Support Teams
- AI Agents for Real Estate Professionals
- AI Agents for Engineers
- AI Agents for SMEs
- AI Agents for Communications and Translation
- AI Agents for Customer Service Teams
- AI Agents for Logistics and Supply Chain Teams
- AI Agents for Marketing Teams
- AI Agents for Media and Journalism
- AI Agents for Non-Profit Organisations
- AI Agents for HR Teams
- AI Agents for Pharma and Life Sciences
- AI Agents for Manufacturing Teams
- AI Agents for Product Managers
- AI Agents for Project Managers
- AI Agents for Quality Management Teams
- AI Agents for Legal Professionals
- AI Agents for Recruiters
- AI Agents for Social Media Teams
- AI Agents for Tax Advisers
- AI Agents for Insurance Professionals
- AI Agents for Sales Teams
- AI Agents for the Public Sector
AI Agents training near you
Frequently asked questions
Do I need programming skills to build AI agents?
No. The platforms used on the course rely on visual interfaces, plain-language instructions and ready-made connectors. You learn to specify agents precisely from a business perspective, connect tools and test workflows. Where deeper technical integration would be needed, you will know which requirements to put to your IT team.
Which platform will we use during the course?
The course is vendor-neutral and uses Microsoft Copilot Studio, custom GPTs and Claude as examples. You build your prototype on the platform that is available or planned in your organisation. The principles of workflow design, control and governance you learn carry over to other agent solutions as well.
How do I stop an agent from acting without control?
Through deliberate design: agents receive only the minimum permissions they need, critical actions such as sending, booking or deleting require human approval, and every step is logged. In addition, you define test cases and escalation rules. These are exactly the control mechanisms you develop for your own use case during the course.
Prerequisites
You should already use an AI assistant such as ChatGPT, Copilot or Claude on a regular basis. No programming skills are required.
You will need a laptop with an up-to-date browser. Ideally you have access to at least one agent platform such as Copilot Studio, ChatGPT with GPTs or Claude; practice accounts can be provided if needed.
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