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Discover how to deploy AI agents in production using observability techniques through a Microsoft Teams bot case study with open-source tools like Monocle.
Discover how to integrate human-in-the-loop (HITL) into MLOps pipelines for trustworthy GenAI, balancing automation with essential human oversight for quality and context.
Discover why traditional CI/CD fails for AI systems and learn the CC/CD framework for safely scaling autonomous AI products with continuous calibration and behavioral monitoring.
Discover how Shopify orchestrates specialized AI agents to manage millions of product taxonomies, scaling expert knowledge across domains through LLM-as-Judge systems and multi-agent workflows.
Master synthetic data generation techniques using GANs, TVAEs, and GPT models to create privacy-preserving AI datasets for fraud detection and financial applications.
Discover how to build KG-ETL pipelines that transform unstructured data into knowledge graphs using LLMs, comparing three architectures and their trade-offs for modern AI systems.
Discover how to build trustworthy AI agents through comprehensive evaluation workflows, from pre-launch testing to production monitoring and scaling strategies.
Discover how to build failure-proof AI agents using Temporal's workflow orchestration. Learn fault-tolerant design principles and recovery strategies for production systems.
Discover how ApertureDB creates a foundational data layer for AI systems, enabling multimodal data management, contextual memory, and semantic reasoning for next-gen AI agents.
Discover how adaptive multi-turn attacks jailbreak LLM agents and learn practical strategies for continuous red teaming, automated threat detection, and human-in-the-loop monitoring.
Explore FueliX, a model-agnostic GenerativeAI SaaS platform revolutionizing enterprise productivity and creativity workflows through practical real-world applications and versatile AI implementation.
Master cost-effective RAG deployment with embedding quantization, context compression, and ranking techniques. Includes hands-on Python lab using Elasticsearch and Hugging Face models.
Discover practical reinforcement learning techniques to align LLMs for safer responses through hands-on RLHF training and safety strategy development.
Discover the 2025 best-practice RAG stack from prototype to production, featuring LangGraph, LangSmith, QDrant, and enterprise deployment phases with hands-on application building.
Discover how to connect AI agents to real-world data by building MCP wrappers that transform REST APIs into powerful tools your AI can actually use in this hands-on Python workshop.
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