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Generative AI - Tutorials - IBM Developer
IBM Developer

Generative AI

Tutorials

Tutorial

Orchestrating external agents using A2A standard on watsonx Orchestrate

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.

watsonx Orchestrate

Tutorial

Build a local AI co-pilot using IBM Granite 4, Ollama, and Continue

In this tutorial, learn how to set up a local AI co-pilot in Visual Studio Code using IBM Granite 4, Ollama, and Continue, overcoming common enterprise challenges such as data privacy, licensing, and cost. The setup includes open-source LLMs, Ollama for model serving, and Continue for in-editor AI assistance.

Generative AI

Tutorial

Creating intelligent, reusable agentic workflows on watsonx Orchestrate with no code

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

watsonx Orchestrate

Tutorial

Build context-aware AI agents with watsonx Orchestrate and Astra db

Learn to build context-aware AI agents using watsonx Orchestrate and Astra db with vector search, embeddings, and automated data retrieval.

Tutorial

Build an AI agent with Langflow, Granite 4.0 models, and watsonx Orchestrate

Learn how to build a Language Advisor agent with Langflow, Ollama’s Granite 4.0 Micro model, and IBM watsonx Orchestrate. Detect code language, fetch best‑practice guides via web search, and deliver concise, actionable summaries all on‑premise and governed.

watsonx Orchestrate

Tutorial

Create your first AI Java application with Quarkus and LangChain4j

In this tutorial, you learn how to create a simple RESTful Java AI application that asks a large language model (LLM) to write a short poem based on a topic provided by the user.

Java

Tutorial

Deploying MCP Tools on watsonx Orchestrate by using ContextForge MCP Gateway

Learn how to deploy MCP tools on watsonx Orchestrate by using MCP Gateway, ensuring secure, centralized access for multiple agents and workflows. Learn how to deploy MCP Gateway on IBM Code Engine and then integrate your MCP tools into agents built on watsonx Orchestrate.

watsonx Orchestrate

Tutorial

Extend Your AI Agents with External LLMs Using watsonx Orchestrate and AI Gateway

Learn how to use external LLMs with watsonx Orchestrate AI Gateway, which allows for more flexibility and choice in building AI-powered agents.

watsonx Orchestrate

Tutorial

Connecting to MCP tools with watsonx Orchestrate

Learn how to create MCP tools on watsonx Orchestrate and build agents that consume these MCP tools.

watsonx Orchestrate

Tutorial

AgentOps in watsonx Orchestrate: Observability for Agents with Langfuse and IBM Telemetry

Learn AgentOps in watsonx Orchestrate with IBM Telemetry and Langfuse for AI observability, agent monitoring, debugging, and performance optimization.

watsonx Orchestrate

Tutorial

Integrate watsonx Orchestrate AI agents into a custom UI

Learn how to integrate watsonx Orchestrate AI agents into custom UI using APIs, Code Engine, and FastAPI for seamless AI-driven automation.

watsonx Orchestrate

Tutorial

Develop agents with no code using watsonx Orchestrate

In this step-by-step tutorial, you learn how to design, connect, and deploy intelligent multi-agent solutions that can operate across multiple channels. You learn how to create agents in IBM watsonx Orchestrate without writing any code, design specialized agents for specific tasks with targeted knowledge sources, build a supervisor agent to coordinate their work, and deploy the agents for testing within the Orchestrate interface.

watsonx Orchestrate
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