Agentic AI

A hands-on journey to instrument, observe, and evaluate AI agents using Langfuse, IBM Telemetry, and and structured evaluation workflows.

Discover how to orchestrate multiple AI agents using watsonx Orchestrate to build intelligent, scalable, no-code enterprise automation workflows.

A hands-on journey to design, extend, and integrate AI agents by using Langflow, IBM Granite models, Astra DB, the AI Gateway, and a custom user interface on watsonx Orchestrate.

A hands-on journey to implement open standards for AI agents using MCP, A2A, ContextForge MCP Gateway, and external integrations with OpenAI API on watsonx Orchestrate.

Learn to test, benchmark, and optimize AI agents with a structured evaluation framework, automated workflows, and performance metrics for reliable results.

Build a scheduled agentic workflow in watsonx Orchestrate using Python tools, custom agents, and automated email notifications for efficient daily task automation.

Discover the watsonx Orchestrate Agent Catalog, which includes hundreds of prebuilt agents and hundreds more prebuilt tools across numerous domains, including HR, Sales, Finance, IT, and more. Understand the steps you need to take to build and deploy the prebuilt domain agents - configuring secure connections, customizing the prebuilt agent as a template and deploying it, and then testing the agent.

In this step-by-step guide, learn how to build and run HR & IT agents with IBM watsonx Orchestrate and OpenAI APIs for seamless employee onboarding.

Explore the A2A standard for agent‑to‑agent communication, from deploying HR agents on Code Engine to integrating them with watsonx Orchestrate for robust workflows.

Learn how to build agentic, no‑code workflows on watsonx Orchestrate with forms, document extraction, and generative AI prompts—no programming required.