Microsoft Learn provides several interactive ways to get an introduction to classic machine learning. These learning paths will get you productive on their own, and also are an excellent base for moving on to deep learning topics.

The question answering capability of the Azure AI Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.

The Azure AI Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text to speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Custom Vision enables you to train models on your own images for customized computer vision scenarios.

In this module, you learn how to create resources for getting started with Azure Machine Learning.

Master the art of building a chatbot clone with ChatGPT clone course!

Build your own ChatGPT-like website using open-source LLMs. Learn how to implement conversational AI in your web applications with customization and ease.

This course will provide an introduction to the power, flexibility and scalability of Azure Machine Learning. You will learn to implement the data science process, to prepare data and integrate data sources for use in machine learning experiments.

Learn how to create a content-based recommendation system. Understand how to leverage user preferences, item features, and machine learning algorithms to build personalized recommendation engines for e-commerce, media, and more.

Dive into the world of deep learning by creating anime characters using DCGANs (Deep Convolutional Generative Adversarial Networks) and Keras. Learn how to train GANs to generate stunning and realistic anime-style artwork from scratch.

Learn how to create stunning anime characters using DCGANs and PyTorch. Explore generative models and deep learning techniques to generate realistic and artistic character images.

Create stunning anime characters using Generative Adversarial Networks (GAN) and implement them in Gradio. Learn how to generate high-quality visuals and deploy them in interactive web apps.