AI Agent Creation and Automation Trainings

Why AI agents are transforming business automation

Traditional automation handles simple, rule-based tasks. AI agents go further: they understand context, make decisions based on incomplete information and adapt their behavior as conditions change. This new generation of intelligent automation is enabling organizations to automate processes that were previously too complex or unpredictable for conventional tools.

From document processing and customer interaction to project management and internal workflows, AI agents are creating value across every business function. Organizations that master agent-based automation gain a significant competitive advantage: faster response times, lower error rates, consistent quality and the ability to scale operations without proportionally increasing headcount. These training courses give you the skills to build, deploy and manage AI agents using both no-code platforms and professional development tools.

Getting started with AI-powered process automation

The Advanced ChatGPT Techniques for Process Automation training bridges the gap between basic AI usage and practical automation. You will learn to chain prompts, create structured workflows and integrate ChatGPT into your existing processes to handle document generation, data analysis and communication tasks automatically.

ITTA also offers dedicated courses on automating document processing with AI and planning projects using AI-powered tools. These courses focus on practical implementation, with real-world scenarios drawn from common business operations.

Building agents with Microsoft Copilot Studio

Microsoft Copilot Studio has emerged as the leading no-code platform for creating AI agents within the Microsoft ecosystem. The Create Agents in Microsoft Copilot Studio (PL-7008) course teaches you to design conversational agents, connect them to enterprise data sources and deploy them across Teams, websites and other channels.

For those looking to extend Microsoft 365 Copilot capabilities, ITTA offers a comprehensive set of courses covering different extension approaches. The Extend Microsoft 365 Copilot in Copilot Studio (MS-4022) course shows you how to create custom Copilot extensions that address your organization’s specific needs.

Extending Microsoft 365 Copilot with custom agents

Microsoft 365 Copilot can be significantly enhanced through custom agents and plugins. The Build a Foundation to Extend Microsoft 365 Copilot (MS-4014) training provides the groundwork for understanding how the Copilot extensibility framework works and what types of extensions are possible.

The Extend Copilot with Declarative Agents (MS-4010) course takes you deeper into building declarative agents that leverage Microsoft Graph data and external APIs. For more advanced scenarios, the Build Custom Engine Agents (MS-4015) course covers creating fully custom agents powered by your own AI models.

Managing and governing Copilot at enterprise scale

Deploying AI agents at scale requires proper governance and management. The Manage and Extend Microsoft 365 Copilot (MS-4017) course covers administration, security, compliance and lifecycle management for Copilot deployments across your organization.

The Transform Business Processes with Agents (MS-4019) training helps you identify the highest-impact automation opportunities and implement them using the agent framework, with a focus on measurable business outcomes.

AI Builder and Power Platform integration

For organizations using Microsoft Power Platform, the Implement AI Models with Power Platform AI Builder (PL-7004) course shows you how to integrate pre-built and custom AI models into Power Apps and Power Automate flows. This enables business users to add intelligence to their applications without writing code, covering form processing, object detection, text classification and prediction models that integrate seamlessly with existing Power Platform solutions.

Designing effective agent architectures

Building individual agents is a starting point. The real value comes from designing agent systems that work together to handle complex, multi-step business processes. ITTA courses teach you to think architecturally about agent design: when to use a single versatile agent versus multiple specialized agents, how to handle handoffs between agents, how to manage shared context and memory, and how to implement proper error recovery. These design skills are what separate agents that impress in demos from agents that deliver value in production.

Who are these courses for and how to progress

These courses address both business users who want to create automation using no-code tools and technical professionals who need to build sophisticated AI agents. They are particularly relevant for process owners, operations managers, IT administrators, Microsoft 365 champions and developers working with the Microsoft ecosystem.

After mastering automation fundamentals, participants can progress to advanced AI development courses, including building custom LLM applications and designing multi-agent architectures.

From prototype to production: building reliable automation

Building a working AI agent in a demo environment is very different from deploying it reliably across an organization. ITTA courses emphasize production readiness: error handling, fallback strategies, monitoring, user acceptance testing and governance. You will learn to build agents that are not just clever but robust, scalable and maintainable over time. This practical, enterprise-focused approach ensures that what you build in the classroom translates directly into solutions that work in the real world.

All ITTA training courses are delivered in person in Geneva and Lausanne or as virtual classes, and are eligible for Temptraining funding for employees based or working in Switzerland.

Complete your AI automation learning path

Before building AI agents, make sure you have the fundamentals with our understanding artificial intelligence courses. To ground your automation in a real business context, explore our AI applications in business courses that identify the highest-value automation opportunities in each function.

To build more sophisticated agents with code, our AI development and LLM courses cover multi-agent architectures, LangChain and RAG. To leverage data in your agents, see our data science and applied AI domain.