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Deep learning models that generate high-quality content
Generative AI refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on. These deep learning models can take raw data and “learn” to generate statistically probable outputs when prompted.
Automate ESG reporting by integrating watsonx Orchestrate with Envizi to retrieve, process, and deliver sustainability data, insights, and compliance metrics efficiently.
Learn to deploy MCP Composer on IBM Cloud Code Engine using Docker for scalable AI orchestration, FastAPI tool integration, and serverless container hosting.
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.
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.
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.
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.
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