#Semantic Kernel

Getting started with Semantic Kernel in C# is SUPER easy! In only a few lines of code, you can have it wired up in your ASP NET Core application. And one of the best parts about that? It's that familiar fluent-builder syntax we all know and love! Try it out today! Watch the full video here: https://youtu.be/YLv5z6NI494

TOP AGENTIC AI FRAMEWORK . . . .. . . #AgenticAI #AIFrameworks #LLMAgents #AutonomousAI #MultiAgentSystems ​#LangChain #CrewAI #AutoGen #LangGraph #SemanticKernel ​#AIAutomation #TechTrends #AIEngineering #FutureofWork #GenerativeAI

I started my career as a Software Engineer at Microsoft, working on a PaaS product on Azure. Solid engineering work, but I always knew I wanted to move closer to AI. When I transitioned into working on an AI-agent based product in Copilot Studio, it wasn’t overnight or accidental. I went back to the basics! Revised Python and ML fundamentals… then steadily built depth in GenAI: prompt engineering, embeddings, RAG, vector stores, and hands-on integrations with different LLMs. I explored agent frameworks like LangChain and Semantic Kernel, and experimented with SmolAgents, CrewAI, and Bot Framework to understand different agent architectures and patterns. Alongside this, I built small real-world projects like chatbots, retrieval systems, and automations… to see how these systems actually behave beyond demos. I also focused on production-ready thinking: logging, monitoring, prompt versioning, and Responsible AI, because agents don’t live in notebooks… they run in real systems. What made the transition effective wasn’t starting from scratch, but mapping my SWE experience to AI impact… using agents to automate workflows, improve search, reduce manual effort, and scale decision-making. This isn’t a story about cracking interviews or having a PhD in AI. It’s about being consistent, practical, and curious while already being a software engineer. I’ve put together a 6-month AI Engineer roadmap that you can follow (for both students and working professionals) Comment “AI” and I’ll share the complete roadmap with you 📩 [ AI Engineer, AI Engineer Roadmap, Software developer, Software Engineer, Engineering, Microsoft, Story of my life, Career advice, Mentoring, Career guidance ] #AI #Roadmap #Microsoft #SoftwareEngineer #Corporate

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Orchestration Frameworks like Langchain, Semantic Kernel, Haystack, and CrewAI coordinate and manage the flow of tasks in an AI application.

Top AI Agent Frameworks You Should Know in 2025 🚀 From LangChain to Semantic Kernel, the AI agent ecosystem is evolving at lightning speed—driving automation, intelligence, and real-time decision-making across industries. At JaiInfoway, we help businesses adopt modern AI frameworks to build scalable, high-impact solutions that boost efficiency, accuracy, and ROI. Explore the full visual breakdown below 👇 🌐 www.jaiinfoway.com #AI #Agents #LangChain #AutoGen #CrewAI #LlamaIndex #SemanticKernel #AIEngineering #GenAI #TechInnovation #JaiInfoway

The future of AI just got real. Inside the new Azure AI Foundry, Microsoft combines Semantic Kernel + Autogen to create the Microsoft Agent Framework. 🤖 It connects with OpenAI, MCP/A2A, and more creating an agent ecosystem that can reason, plan, and collaborate. From sequential handoffs to concurrent collaboration, everything flows beautifully. And the best part? You can build these agents right inside Visual Studio Code, using GPT-4.1, and soon GPT-5 Pro. ⚡ 💬 Comment “Agent” or “Azure” and I’ll send you the link to explore how this new framework works! 🔖 Hashtags #MicrosoftAI #OpenAI #AzureAIFoundry #AIUpdate #AITools #ArtificialIntelligence #AIAgents #Autogen #SemanticKernel #GPT5 #TechNews #AIReel #LogicBuilderAI

Microsoft organizations already have a clear, low-risk path to AI — but many skip steps and create unnecessary problems. In this short video, I outline a practical approach for Microsoft shops: start with Copilot to build trust, automate painful workflows using Power Platform or dot net systems, and introduce intelligence only where it adds real value. Azure OpenAI, Semantic Kernel, and ML dot net each have a place — but only when used intentionally and in the right order. The key is sequencing, not speed. Governance from day one allows AI to scale safely instead of collapsing under scrutiny. This video demonstrates practical use of AI and .NET tools, including avatar-based delivery and AI-generated voice narration. #MicrosoftAI #EnterpriseAI #DotNet #AppliedAI #AIArchitecture #AzureOpenAI #SemanticKernel #MLNET #BusinessAI #ResponsibleAI

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Learn how Marco Casalaina developed a multi-agent approach using Semantic Kernel to automate questionnaire responses, verify links, and manage AI agent debates for accurate results. 🤖 This solution leverages different AI models to optimize performance and reduce manual effort - read the blog and watch the full video for more insights. Link in bio.

How Does Symmetric Encryption Work? [cybersecurity, hacking, hacking tools]

🔥 Este sábado en el MUG: 🎙️ @carly.chavez1 se suma por primera vez 🧠 Un webinar imperdible sobre #IA y #SemanticKernel ¡Te esperamos!