Multi-agent orchestration with watsonx Orchestrate

Overview

This learning path is designed for developers who want to build, extend, and integrate AI agents by using IBM watsonx Orchestrate and related technologies. The content covers visual workflow design, context-aware retrieval, multi-agent orchestration, inference with multiple models, and user interface integration to help you create production-ready AI agents for enterprise use cases.

With this learning path, you are able to:

• Learn how to visually design AI workflows by using Langflow as watsonx Orchestrate tools and perform model inference with IBM Granite 4.0.
• Understand how Retrieval-Augmented Generation (RAG) operates and build context-aware agents by using Astra DB for precise document retrieval and generative responses.
• Gain skills to integrate external large language models into watsonx Orchestrate through the AI Gateway, enabling Bring Your Own Model (BYOM) scenarios for specialized tasks.
• Explore strategies for selecting the appropriate model type, including large models, small models, and fine-tuned models, for different business use cases and optimize orchestration without heavy infrastructure.
• Learn how to create headless AI agents in watsonx Orchestrate and connect these agents to custom user interfaces by using REST APIs for seamless enterprise integration.
• Build end-to-end, production-ready AI agents that combine orchestration, external models, RAG pipelines, and user interface integration to support real-world workflows.

To get hands-on experience with watsonx Orchestrate and complete the step-by-step tutorials in this learning path, sign up for the free 30-day trial and install the watsonx Orchestrate Developer Edition.