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Explore Flow Matching as an efficient alternative to diffusion models, covering theory, velocity fields, and hands-on training for generative AI applications.
Discover how to build production-ready multi-agent AI systems using the A2A protocol for orchestrating specialist agents, streaming tasks, and creating resilient workflows.
Master building AI agents with Weaviate through hands-on development of vector database workflows, semantic search, and multimodal retrieval for intelligent automation.
Master RPA fundamentals and build reliable automated workflows using Power Automate Desktop through hands-on practice with recordings, logic, control flow, and error handling.
Discover how to build production-grade AI agents with FloTorch, integrating LLMs, memory, and tools into scalable workflows with observability and enterprise safety features.
Discover how to build an AI-powered analytics assistant using free open-source tools, enabling natural language data querying and automated insights generation.
Master building interactive sales dashboards with Streamlit, from dynamic filters and Plotly visualizations to cloud deployment and best practices.
Discover how to build transparent, logic-driven AI by combining neural networks with symbolic reasoning for enhanced performance in healthcare, finance, and automation applications.
Discover how to streamline business processes by integrating LLMs with Microsoft Power Automate to create intelligent, no-code workflows that boost productivity and scale operations.
Explore Microsoft Fabric's interface through hands-on exercises covering workspace creation, lakehouse setup, and data pipeline building for end-to-end workflows.
Explore MCP, A2A, and ACP protocols for coordinating autonomous AI agents, featuring live demos and strategies for building scalable, interoperable multi-agent systems.
Discover how to build and deploy complete agentic AI systems from setup to real-world applications like proposal generation and HubSpot data analysis using Ejento.
Discover how to build self-improving agentic systems using AWS Strands SDK and Amazon Bedrock AgentCore, with user feedback integration and trace analysis for continuous refinement.
Master FloTorch framework to build scalable GenAI applications with built-in evaluation, observability, and guardrails for production-ready deployment across providers.
Explore expert insights on building scalable multi-agent AI systems, covering coordination strategies, orchestration techniques, and enterprise deployment challenges.
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