Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing business operations. Microsoft's Azure offers a robust AI and ML portfolio, including Azure Applied AI Services, Cognitive Services, Machine Learning, and AI Infrastructure, enabling the creation of intelligent applications. Azure's integration with OpenAI distinguishes it from competitors like AWS and GCP, by providing advanced AI algorithms for businesses to enhance automation, decision-making, and customer experiences, reinforcing its edge as a cloud provider.
Serverless computing, like Azure Functions, enables developers to build and run applications without managing infrastructure, cutting time and resources for deployment. Azure Functions offers on-demand, scalable, event-driven computing, supporting multiple programming languages, with cost-effective, consumption-based billing. While Azure Functions competes with Google Cloud Functions and AWS Lambda, the best choice depends on specific business needs and existing ecosystems.
The Google Cloud CLI, a robust suite of tools for managing Google Cloud resources, is easy to install and initialize. It offers tools such as gcloud, gsutil, and bq. Users can effortlessly authenticate and choose projects through the 'gcloud init' command. The CLI is rich in functionality, outrivalling its marketplace competitors, and its component-based structure allows for simple management and updates.
Comparison of cloud computing free trials by the major providers GCP/AWS/Azure.
In this blog post, I've included a number of free training resources, some well-known, others not so much...
