Agentic AI Boot Camp

The Agentic AI Boot Camp is a paid, instructor-led training that lasts 3 days, available both onsite and remotely. This course covers the fundamental concepts of Agentic AI on OutSystems, including Agent Workbench, Agent Lifecycle Management, and multi-agent patterns, and demonstrates how to apply these concepts in your apps. You will start by understanding the key principles of Generative AI and then dive deep into the foundations of Agentic AI in OutSystems, supported by interactive hands-on exercises and full-time assistance from a dedicated instructor.

By the end of the week, you will know the key concepts of Generative AI, such as LLMs, Prompt Engineering, and RAG, how to create and manage AI Agents in OutSystems, and learn techniques for agent collaboration and orchestration.

Developer Boot Camp

What will you learn?

You will learn the key concepts of Agentic AI in OutSystems by going through relevant topics such as:

  • Generative AI;
  • AI Agents;
  • AI Agent Lifecycle Management;
  • Agentic AI Workflows;
  • Agent collaboration and orchestration;
  • … and much more.

What do you need?

Your laptop with ODC Studio installed. A few days before the Boot Camp, you will receive detailed instructions with all the information you need.

Who should attend?

This Boot Camp is targeted at OutSystems developers and tech leads who already know the fundamentals of web and mobile application development and who want to know more about Agentic AI in OutSystems. Participants should be familiar with the content delivered in the ODC Developer Boot Camp or the Web Developer Guided Path.

What's the agenda?

1 Day

Introduction to Generative AI: 

  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Vector Databases
  • Data Ingestion
  • Retrieval-Augmented Generation (RAG)
2 Day

Foundations of Agentic AI in OutSystems: 

  • AI Agents
  • MCP Servers
  • Lifecycle Management
  • Real-world Agent Use Case
3 Day

Agentic AI Workflows:

  • Multi-agent Patterns
  • Agent collaboration and orchestration
  • Transparency, explainability, and auditing AI decisions

 

AI Adoption Discussion