Training: AI Agents in Practice – Building, Integrating, and Scaling
Level
IntermediateDuration
8h / 1 dayDate
Individually arrangedPrice
Individually arrangedTraining: AI Agents in Practice – Building, Integrating, and Scaling
The training “AI Agents in Practice: Building, Integrating, and Scaling” is designed for those who want to move beyond basic AI tool usage and start designing advanced automation systems based on AI agents. Through a series of intensive modules, participants will explore both the fundamentals and advanced aspects of creating autonomous AI agents in business processes. The course is highly practical – from simple agent setups in ChatGPT and Gemini, through integrations with external systems in n8n, to designing complex workflows with data handling, contextual memory, and automated communication. No programming knowledge is required – all you need is an idea for a process you’d like to optimize. By the end of the training, you’ll be able to build your own AI agents that effectively reduce team workload and accelerate organizational efficiency.
What will you learn?
- Understanding how AI agents work – from simple chatbots to advanced systems in n8n
- Designing your own agents and automation workflows using large language models (LLMs)
- Integrating agents with external data and applications (APIs, forms, documents, Slack, Google Docs)
- Configuring and deploying agents in environments such as ChatGPT, Gemini, or n8n
- Creating complex automation processes with contextual memory, error handling, and scaling
- Applying best practices in data security, regulatory compliance, and responsible AI use
Specialists in automation, digitalization, and innovation, looking for ways to design AI agents operating across multiple channels and applications-
Managers and operational leaders aiming to increase team efficiency by automating routine tasks
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Tech enthusiasts and advanced AI users who want to go beyond simple ChatGPT usage and create complex automations
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Analysts, consultants, and freelancers seeking hands-on tools for agent design without programming
Training Program
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Module 1 – Introduction to AI Agents and Tools Overview
- What is an AI agent and how does it differ from standard tools like ChatGPT?
- Capabilities of large language models (LLMs) in agent creation
- Overview of platforms: ChatGPT (GPTs), Claude, Gemini, n8n
- Inspiring use cases of AI agents across industries
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Module 2 – Building Agents in GPTs and Gemini Without Coding
- Creating AI agents via the GPTs builder in ChatGPT – no coding required
- Key agent elements: role, data sources, rules of operation
- Practical examples: agents for recruitment, sales, or internal communication
- Exercise: configure and test your own agent in ChatGPT or Gemini
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Module 3 – Introduction to the n8n Platform
- n8n as a tool for event-driven agent design
- Key concepts: flows, nodes, triggers, credentials
- Example use cases: CRM automation, email integration, document generation
- Running n8n in local or cloud environments
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Module 4 – Integrating Agents with External Systems
- Connecting AI agents with third-party applications and services
- Integration with tools like Pipedrive, Notion, Google Docs, or Slack
- Using API data as context for LLMs (dynamic prompting)
- Workshop: configuring and activating APIs in n8n
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Module 5 – Designing AI Agents in n8n with LLMs
- Step-by-step creation of AI-driven automation workflows
- Applying language models to handle logic inside nodes
- Conditional logic, variable management, and data processing
- Workshop: automatic responses to queries based on your own data
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Module 6 – Advanced Agent Design and Scaling
- Building complex agents with multi-step processes, scheduling, and contextual memory
- Error handling: designing resilient systems for failures and overloads
- Processing files, emails, and forms – integration with real-world data
- Advanced scenarios: secretary agent, offer analyst, virtual researcher
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Module 7 – Responsible AI Design and Future Outlook
- Key risks in automation and AI integration
- Data protection, agent monitoring, and regulatory compliance
- The human role in supervising autonomous systems
- Future perspectives of AI agents – directions and trends
Contact us
we will organize training for you tailored to your needs
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