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GPXX0YY7EN bannerBuild an MCP Server and LangGraph.js Agent to manage Gmail | View in the Skills Network Catalog

Build a Model Context Protocol (MCP) server to enable smart Gmail actions in a LangGraph agent. This intermediate level project guides you through creating a smart email management system using OpenAI's GPT models and Anthropic's MCP. You’ll implement Gmail OAuth, design a React user interface with an Express backend, and build an agent that can manage emails with natural language prompts. By the end of the project, you'll be proficient with the MCP SDK and understand it's many practical use cases. Enroll now to learn this cutting-edge technology used across countless industries.

GPXX0QCJEN bannerAutoGen Wardrobe Wizard: A MultiAgent Fashion System | View in the Skills Network Catalog

Learn how to combine Meta's Llama vision model, OpenAI’s DALL·E, and Microsoft’s AutoGen, a framework for orchestrating collaborative AI agents, to build an AI-powered virtual fashion stylist. This project uses modular agents such as a Color Analyst, Style Planner, Silhouette Analyst, and Outfit Board Creator to generate personalised outfit recommendations based on your uploaded photos. By the end, you’ll have a complete multi-agent system that blends computer vision, intelligent coordination, and creative design for real-world fashion use.

GPXX0EGKEN bannerMultilingual AI Agents for Poetry using GPT-5 & AutoGen/AG2 | View in the Skills Network Catalog

Learn how to use AutoGen’s multi-agent framework with GPT-5 to collaboratively generate and refine poetry. The agents are multilingual—generate poems in any language you choose. You provide the theme (plus optional form and tone); a Muse proposes and selects the concept, a Verse Crafter writes the poem, and a Poetry Editor lightly polishes and signals POEM_COMPLETE. A simple, guided flow that shows how GPT-5 + AutoGen turn your idea into a finished poem—without the heavy technical setup. Learn AutoGen's multi-agent architecture by taking this hands-on project now!

Updates

ML0102EN bannerUTMIST - Machine Learning Fundamentals | View in the Skills Network Catalog

The Machine Learning Fundamentals (MLF) Program is a beginner-friendly initiative offering foundational technical and theoretical knowledge in ML/AI. Through structured workshops covering topics like linear regression and neural networks, and a mentored group project, you will build practical skills and gain the confidence needed to start your journey in this field. It's designed to equip you with a solid understanding of core concepts, preparing you for future ML/AI endeavors.