Agentic AI
Next Dates
Course Details
The Agentic AI course is a hands-on, instructor-led training. 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 course, 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.
Who should attend?
This course 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.
This module introduces the core concepts behind Generative AI and their application to real-world business scenarios. Participants will explore how Large Language Models work, how to create effective prompts, and how to enhance AI responses using vector databases and Retrieval-Augmented Generation (RAG). The focus is on building a solid technical and conceptual base to prepare for implementing AI-powered solutions.
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Vector Databases
- Data Ingestion
- Retrieval-Augmented Generation (RAG)
In this module, participants dive into the fundamentals of Agentic AI within the OutSystems ecosystem. You’ll learn how AI agents are created, how they interact with MCP servers, and how to manage their lifecycle effectively. Through real-world use cases, you’ll understand how autonomous agents can be designed to perform tasks and make decisions within enterprise applications.
- AI Agents
- MCP Servers
- Lifecycle Management
- Real-world Agent Use Case
This module focuses on creating advanced AI solutions through multi-agent architectures. Participants will learn how to design collaborative agent workflows, orchestrate complex processes, and ensure transparency, explainability, and auditability of AI decisions. The module concludes with a discussion on AI adoption strategies and practical considerations for implementing agentic AI in organizations.
- Multi-agent Patterns
- Agent collaboration and orchestration
- Transparency, explainability, and auditing AI decisions
- AI Adoption Discussion
The full learning objectives will be shared shortly. Stay tuned for more information.
Pick your Start Date
Our courses run throughout the year and in different regions to give you flexibility and options. Select the start date and location that fit your schedule and take the next step toward your new skills and career goals.
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