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Discover how Model Context Protocol (MCP) standardizes context provision to LLMs, functioning like a USB-C port for AI applications by connecting models to various data sources and tools.
Master data structures and algorithms through competitive programming challenges, covering sorting, searching, stacks, queues, and time complexity analysis.
Explore the distinctions between generative AI, agentic AI, and AI agents, focusing on how agentic AI operates autonomously to solve complex problems in real-time.
Explore the fundamentals of Web 3.0, including mining, cryptocurrencies, data sharing, smart contracts, tokenomics, and the metaverse in this comprehensive breakdown with industry expert Pareen Lathia.
Comprehensive guide to building AI applications with LangChain, covering chatbots, RAG pipelines, and integration with various tools and platforms for generative AI development.
Discover Requestly, an open-source platform for API mocking, testing, and debugging that acts as a local proxy to intercept and modify HTTP(s) requests in real-time without backend changes.
Master Python fundamentals through hands-on projects covering data science, ML, and generative AI development in this comprehensive 5-day crash course.
Master ML model deployment across cloud platforms including Heroku, AWS, Azure, and GCP using Flask, FastAPI, and Streamlit for production-ready applications.
Discover how to build RAG applications using Typesense, an open-source search engine offering sub-50ms search times with typo tolerance and seamless integration capabilities.
Discover how to effortlessly run MCP servers using Docker's new MCP Toolkit for streamlined development workflows.
Discover how Coiled eliminates Kubernetes complexity while scaling Python workloads to thousands of machines with just one line of code for data engineers and scientists.
Discover the evolution from basic agentic systems to sophisticated deep agents that excel at complex planning, research, and coding tasks over extended time horizons.
Master advanced RAG techniques using MongoDB Vector Search to consolidate structured and unstructured data into a unified, flexible AI system for enhanced retrieval.
Discover how to build sophisticated agents using LangGraph that can plan, delegate tasks to subagents, and manage complex workflows with file system integration.
Master building an automated Video Compliance QA Pipeline using Azure services, LangGraph orchestration, and multimodal AI for regulatory auditing with full observability.
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