Other Azure Services

Azure has a dedicated and lot more services to cover in this sections which are listed below we just don't have to engage into all the services now as we are limiting ourselves into security and fundamentals of the azure cloud.

Azure AI

Azure AI provides a suite of AI and machine learning services to build, deploy, and manage intelligent applications. It includes AI-powered analytics, automation, and pre-trained models for computer vision, natural language processing, and predictive analytics.

• AI Notebooks – A cloud-based Jupyter notebook environment that enables interactive coding, data exploration, and model training using Python, R, and other AI frameworks.

• AI Designer – A drag-and-drop low-code tool that simplifies building and deploying machine learning models without extensive coding expertise.

• AutoML (Automated Machine Learning) – Automates feature selection, hyperparameter tuning, and model training to optimize machine learning models with minimal manual effort.

• ML Studio – A collaborative machine learning platform that enables data scientists to create, manage, and deploy machine learning models using an easy-to-use interface and built-in automation & many more services to ensure reliable AI/ML services on the azure cloud

Azure DevOps

Azure DevOps is a cloud-based DevOps platform that provides tools for source control, CI/CD, testing, and infrastructure automation to enable agile software development.

• Azure DevOps Services – A set of DevOps tools, including Azure Repos (Git), Azure Pipelines (CI/CD), Azure Boards (Agile Planning), Azure Artifacts (Package Management), and Azure Test Plans (Testing & QA).

• DevTest Labs – A service that allows teams to quickly provision and manage virtual machines (VMs) for development and testing, optimizing costs and resources while ensuring secure, isolated environments for software testing.

Azure Advisor

Azure Advisor is a personalized cloud consultant that scans Azure services and provides recommendations to improve cost efficiency, security, reliability, operational excellence, and performance. It helps optimize resources by identifying underutilized services, suggesting security enhancements, and ensuring high availability. By analyzing workloads and usage patterns, Azure Advisor assists organizations in maintaining a well-architected Azure environment.