Tag: LLMs

Learn to build and deploy advanced AI applications using prompt engineering and agentic AI workflows, focusing on practical, …

Learn to design robust, scalable, and production-ready AI-powered applications, covering pipelines, orchestration, microservices, …

Explore the next generation of AI engineering, covering AI workflow languages, agent operating systems, orchestration engines, and AI-native …

Learn to design and build sophisticated AI applications using modern agent frameworks like LangGraph, AutoGen, CrewAI, and Semantic Kernel, …

Explore the principles and practical applications of Multimodal AI, learning how to integrate text, image, audio, and video inputs to build …

Explore the fundamentals of Retrieval-Augmented Generation (RAG) architectures, understand why they are crucial for production-ready LLM …

Extend your AI agents' capabilities by integrating custom tools and external APIs to access real-time data and perform actions beyond their …

Dive into advanced design patterns for building robust, scalable, and reliable AI agents ready for production environments.

Take your AI agents from prototype to production. Learn critical strategies for scaling, optimizing costs, and ensuring ethical and …

Explore the fundamental need for memory in AI agents, understanding how it overcomes LLM limitations and enables more intelligent, stateful, …

Uncover the critical importance of AI Observability, its core components (logging, tracing, metrics), and the unique challenges of …

Explore the paradigm shift in AI engineering, moving from individual models to complex, orchestrated multi-agent systems. Understand AI …