EdgeAI for Beginners
Welcome to EdgeAI for Beginners – your comprehensive journey into the transformative world of Edge Artificial Intelligence. This course bridges the gap between powerful AI capabilities and practical, real-world deployment on edge devices, empowering you to harness AI's potential directly where data is generated…
课时
- 🌐 Multi-Language Support
- Course Modules & Navigation
- Course Highlights
- Module01
- Module02
- Section 1: Microsoft Phi Model Family Fundamentals
- Section 2: Qwen Family Fundamentals
- Section 3: Gemma Family Fundamentals
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- Section 4: BitNET Family Fundamentals
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- Section 5: Microsoft Mu Model Fundamentals
- Section 6: Phi-Silica - Optimized On-Device Language Models
- Module03
- Module04
- Section 1: Model Format Conversion and Quantization Foundations
- Section 2 : Llama.cpp Implementation Guide
- Section 3 : Microsoft Olive Optimization Suite
- Section 4 : OpenVINO Toolkit Optimization Suite
- Section 4 : Apple MLX Framework Deep Dive
- Section 6: Edge AI Development Workflow Synthesis
- Section 7 : Qualcomm QNN (Qualcomm Neural Network) Optimization Suite
- Module05
- Module06
- AI Agents and Small Language Models: A Comprehensive Guide
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- Section02 : Function Calling in Small Language Models (SLMs)
- Section 03 - Model Context Protocol (MCP) Integration
- Module07
- Module08
- Session 1: Getting Started with Foundry Local
- Session 2: OpenAI SDK Integration with Azure AI Foundry
- Session 3: Open-Source Model Discovery and Management
- Session 4: Building Production Chat Applications with Chainlit
- Session 5: Build AI-Powered Agents Fast with Foundry Local
- Overview
- Welcome to Chainlit! 🚀🤖
- Module 08 Samples: Foundry Local Development Guide
- Workshop
- Environment Configuration Guide
- Foundry Local SDK - Quick Reference
- Workshop Samples - Quick Reference Card
- Workshop Quick Start Guide
- Session 1: Getting Started with Foundry Local
- Session 2: Build AI Solutions with Azure AI Foundry
- Session 3: Open-Source Models in Foundry Local
- Session 4: Explore Cutting-Edge Models – LLMs, SLMs & On-Device Inference
- Session 5: Build AI-Powered Agents Fast with Foundry Local
- Session 6: Foundry Local – Models as Tools
- Workshop Notebooks
- Workshop Scripts
- WorkshopForAgentic
- code
- 02.Workflow-MultiAgent
- translation
- code