Learning Paths

Learning paths are a curated, structured sequence of articles, tutorials, and other learning content that help you gain a complete understanding of a technology. Like a course, learning paths provide you with a set of learning objectives that define what you will learn from the curated set of learning content.

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All Learning Paths

Learning Path

Quarkus basics

This learning path is designed for Java developers who are new to Quarkus and want to understand how to build modern applications from the ground up. You will learn to create a project, build REST APIs, persist data, configure environments, test your code, and finally containerize and deploy your application.

Learning Path

AgentOps with watsonx Orchestrate

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

Learning Path

Multi-agent orchestration with watsonx Orchestrate

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.

Learning Path

Agentic standards with 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.

Learning Path

Introduction to IBM Mono2Micro

Learn about the key features of IBM Mono2Micro and how to use them to transform monolithic Java applications into microservices.

Learning Path

Get started with watsonx Orchestrate

This learning path gives you an understanding and working knowledge of watsonx Orchestrate. After introducing multi-agent orchestration using watsonx Orchestrate, it provides hands-on guides for developing agents with no code or by using the Agent Development Kit (ADK).

Learning Path

Get started with Java

Get up to speed with Java with this learning path, which consists of step-by-step tutorials that explain the process of setting up and using Java.

Learning Path

IBM Event Streams Developer Essentials

In this learning path, learn the core concepts for Apache Kafka and IBM Event Streams, gain some hands-on experience with an IBM Event Streams instance via a sample application, try out a coding challenge of developing a solution to a problem, and learn how to troubleshoot and debug simple errors and connectivity issues.

Learning Path

Get started with Data Prep Kit (DPK)

In this learning path, learn how to use Data Prep Kit (DPK) to prepare data for large language model (LLM) applications.

Learning Path

Environmental Intelligence

Learn how to get started with IBM Environmental Intelligence, explore key features, and discover industry use cases for leveraging environmental data and insights.

Learning Path

IBM MQ Developer Essentials

In this learning path, learn about the core IBM MQ messaging concepts, learn how to create and configure a queue manager, a queue, and a topic, and learn how to develop and debugg a simple point-to-point JMS application that interacts with the queue manager.

Learning Path

Develop production-ready, Apache Kafka apps

In this learning path, you'll learn the foundational concepts of Apache Kafka and also the roles that Kafka can play in an enterprise messaging solution. You'll learn how to adopt the basic functions of Kafka and apply the learning to your own solutions. Finally, you'll learn how to use the IBM Event Streams on IBM Cloud offering for implementing your Kafka solutions.

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Learning Paths

Quarkus basics

AgentOps with watsonx Orchestrate

Multi-agent orchestration with watsonx Orchestrate

Agentic standards with watsonx Orchestrate

Introduction to IBM Mono2Micro

Get started with watsonx Orchestrate

Get started with Java

IBM Event Streams Developer Essentials

Get started with Data Prep Kit (DPK)

Environmental Intelligence

IBM MQ Developer Essentials

Develop production-ready, Apache Kafka apps