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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Learning Path
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
A hands-on journey to instrument, observe, and evaluate AI agents using Langfuse, IBM Telemetry, and and structured evaluation workflows.
Learning Path
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
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
Learn about the key features of IBM Mono2Micro and how to use them to transform monolithic Java applications into microservices.
Learning Path
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 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
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
In this learning path, learn how to use Data Prep Kit (DPK) to prepare data for large language model (LLM) applications.
Learning Path
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
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
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.
