Name: Dr. Alexander Wachtel
Type: User
Company: ESC Deutschland GmbH
Bio: CEO @ESCdeGmbH, Graduate Computer Scientist, Ph.D. @KITKarlsruhe, Microsoft Certified Trainer, StartUp Business Coach
Twitter: AlxWachtel
Location: Karlsruhe, Germany
Blog: https://www.awit.tech
Dr. Alexander Wachtel's Projects
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
12 Weeks, 24 Lessons, AI for All!
Public repository for Decisison Trees for Azure Data Domain
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Azure Machine Learning Workshop 2021
End to end sample to deploy a bot infrastructure to Azure with Pulumi
Ein textbasiertes Dialogsystem, welches das Chatten mit einem technischen System erlaubt.
Easy applicable and dynamically building dialogue management framework based on the MS Bot Framework
This is a repository for Global (Azure) Communities to maintain their page on the globalazure.net website.
10 Weeks, 20 Lessons, Data Science for All!
Azure Developer Community
A sample bot for our chatbot-framework
The Enterprise-Scale architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture
Reactor hands on generative AI workshop with Azure OpenAI
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage
This is a repository for the LinkedIn Learning course Semantic Kernel in Action: 1 Fundamentals
Official curricula for the LLMOPs course at Duke University
ML.NET is an open source and cross-platform machine learning framework for .NET.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
MLOps using Azure ML Services, Azure DevOps and the Azure CLI