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.
Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
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
What we actually do
- · 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
- · 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
- · 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
- · 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
- · 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
- · 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
- · 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
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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