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Azure
DevOps
Tools and practices for building and deploying
hyperscale Ai applications on the Azure Cloud
DevOps Suite
Microsoft Azure provides a comprehensive suite of services and tools designed to empower software developers and enhance their development process.
Accelerating Developer Productivity
Whether you are building web applications, mobile apps, or enterprise solutions, Azure offers a wide range of resources to support your development needs.
These tools enable organizations to adopt agile development practices, accelerate time to market, and deliver innovative solutions to customers.
Compute Services
Azure offers a range of compute services to help developers deploy and scale applications. This includes virtual machines, container instances, and serverless computing options like Azure Functions.
DevOps Toolchain
A wide range of tools and services for modern application development, including Azure DevOps, Azure Functions, and Azure Kubernetes Service.
Azure AI Services
Pre-built AI capabilities such as vision, speech, and language understanding. Azure Machine Learning allows developers to build, deploy, and manage machine learning models at scale.
Best Practices
We provide an ongoing series of Azure DevOps best practices.
Read the article series.
By migrating to a unified DevOps platform, Vodafone’s development efforts operate like a single, global team rather than several disparate companies.
Discover how Power Platform runs on Microsoft Azure and can be used with familiar development stack with such as React, C#, Open API, GitHub, Azure Synapse, and Open AI.
Artificial intelligence is revolutionizing the way applications are built. By leveraging AI capabilities, developers can now create sophisticated apps with minimal coding requirements.
Learning Tutorial Series
Building Ai Applications
on Microsoft Azure
In this book and webinar series we explore the exciting possibilities that Azure offers for building and deploying Ai solutions.
Whether you are a seasoned developer or just starting your journey into AI, this guide and webinar series will provide you with the knowledge and tools to harness the power of Azure's AI capabilities.
Ai Fundamentals: From Prompt Engineering to LLMOps
A comprehensive introduction to Ai programming, exploring the fundamentals of AI, including machine learning, neural networks, and deep learning. We'll walk you through the entire process—from prototyping and experimenting to evaluating and deploying your AI-powered apps.
Developer Tools and Practices
Learn about popular AI development tools and frameworks such as TensorFlow, PyTorch, and scikit-learn. Develop your first app with Local LLMs on Windows: we will show Windows developers how to setup their dev box for AI development with WinGet and demonstrate the end to end workflow of working with and customizing local LLMs.
Enterprise-scale Ai Engineering
A cutting-edge 'code first' experience to build generative AI applications including enterprise chat and custom copilots. We'll share how to ingest real-time data from Cloud AI services, test Large Language Models (LLMs), and deploy Proof of Concepts (PoCs) at scale.
Whether you are a seasoned developer or just starting your journey into AI, this guide will provide you with the knowledge and tools to harness the power of Azure's AI capabilities.
