Get started with watsonx Orchestrate: This path focuses on building agents ranging from no-code solutions to full development. It involves working with prebuilt components, real workflows, and builds based on the Agent Development Kit (ADK).• Standards and interoperability: This training focuses on agents working across tools and systems. It offers hands-on work with the Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, the ContextForge MCP Gateway, and external OpenAI APIs.• Multi-agent orchestration: This path covers designing and running coordinated systems. It utilizes a stack that includes Langflow, Granite 4.0, Anthropic, Groq, and DataStax Astra DB for agent-based retrieval.• Agent operations: Described as the layer often skipped in demos, this path teaches how to monitor, evaluate, and observe agents using tools like Langfuse, IBM telemetry, and various evaluation frameworks