Season of AI Agents: Build the Future with AI

Learn with RijSat · Intermediate ·🤖 AI Agents & Automation ·9mo ago
Get ready to explore the future of software and automation in this exciting developer-focused event on AI Agents. Whether you're a developer, architect, or tech enthusiast, this event is packed with insights, real-world demos, and cutting-edge tools to build, fine-tune, and deploy AI-powered agents and copilots. ### A Hands-on, Future-Forward Event for Developers, Architects, and AI Enthusiasts As artificial intelligence continues to evolve, we stand at the forefront of a monumental shift in how applications are built, deployed, and experienced. The future isn’t just about using AI—it’s about building with it. Welcome to the Season of AI Agents, where we explore the power of AI Agents, Multi-Agent Systems, Copilots, and Agentic Workflows designed to create intelligent, autonomous, and deeply interactive software. ### 🎯 What is the Season of AI Agents? The “Season of AI Agents” is a developer-first, insight-rich learning event aimed at accelerating your journey in building the next generation of AI-driven applications. This isn’t just another AI conference. It’s a collaborative space to learn, explore, and create real-world AI agent applications, combining cutting-edge frameworks, APIs, and services from Azure OpenAI, Semantic Kernel, LangChain, and more. Whether you're building your first AI-powered app or scaling copilots for enterprise use, this event offers a complete end-to-end path—from ideas to deployment. *** ### 🔍 What You’ll Learn Introduction to AI Agents & Agentic Workflows How AI Agents differ from traditional AI/ML models Designing multi-agent workflows that interact and reason Hands-on with Semantic Kernel and LangChain for agent orchestration Building Copilots with Azure AI, tool integration, and memory RAG (Retrieval-Augmented Generation) and embedding use cases Prompt engineering and chaining tools for context-aware agents Deploying and hosting scalable AI agents in Azure (App Services, Functions, AKS) Agent monitoring, feedback loops, and
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