Microsoft
Experiment with Azure Machine Learning
Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.
- Microsoft Learn
- 1 hour
- Self-paced
- Free course
- Free badge
- Beginner
Free online
Learn MLOps online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Microsoft
Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.
DeepLearning.AI
The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and perso…
Microsoft
Learn how to prepare audio data, create spectrograms, and build a TensorFlow keyword classification model.
Microsoft
Learn how to train machine learning models in notebooks and track your work with MLflow experiments in Microsoft Fabric.
Google Cloud
This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI S…
Microsoft
Choose this module if you want to optimize model training by tuning hyperparameters with sweep jobs in Azure Machine Learning.
Microsoft
This module provides an overview of Microsoft's responsible AI principles, guidelines, and standards.
Microsoft
Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of…
Microsoft
Learn about the history of natural language processing (NLP), including how the Transformer architecture revolutionized the field and helped us create large language models (LLMs). Work with LLMs in Azure Machine Learning through the foundation models in the model catalog.
Harvard University
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
Udacity
Understand and apply LLMOps principles to large language models. Master the ability to fine-tune, deploy, and monitor applications while implementing AI safety measures across multiple production projects.
Microsoft
Learn how to perform different computer vision tasks using TensorFlow.
Microsoft
Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.
Google Cloud
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow. - Recognize the NLP products and the solutions on Google Cloud. -…
IBM
This short course introduces you to the fundamentals of Data Engineering and Machine Learning with Apache Spark, including Spark Structured Streaming, ETL for Machine Learning (ML) Pipelines, and Spark ML. By the end of the course, you will have hands-on experience applying Spark skills to ETL and…
Microsoft
Discover AI-powered image generators. Learn about image creation tools like Microsoft Image Creator. Understand their potential applications in the workplace and training settings and discover best practices for optimal results. Enhance your skills and transform your creative process with AI-powere…
Microsoft
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.…
Microsoft
Learn about automation for machine learning, machine learning operations, and MLOps.
Microsoft
Choose this module if you want to automate and validate model training with GitHub Actions and Azure Machine Learning pipelines.
Microsoft
This course provides hands-on experience with Microsoft Azure's AI and ML services. You will learn to set up, manage, and troubleshoot Azure-based AI & ML workflows. The course covers the entire ML lifecycle in Azure, from data preparation to model deployment and monitoring. By the end of this cour…