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MLOps courses 393

Learn MLOps online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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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

DeepLearning.AI

Understanding and Applying Text Embeddings

4.869 ratings

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…

Partner
  • Coursera
  • 1 hour
  • Self-paced
  • Paid certificate

Google Cloud

Introduction to Vertex AI Studio

4.6244 ratings

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…

Partner
  • Coursera
  • 1 week of study, 6-8 hours
  • Self-paced
  • Paid certificate

Microsoft

Create Machine Learning Models in Microsoft Azure

4.5332 ratings

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…

Partner
  • Coursera
  • 5 weeks of study, 1-2 hours/week.
  • Self-paced
  • Paid certificate

Harvard University

MLOps for Scaling TinyML

4.68 ratings

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.

  • edX
  • 7 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Advanced

Microsoft

Introduction to machine learning concepts

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.

  • Microsoft Learn
  • 1.5 hours
  • Self-paced
  • Free course
  • Free badge
  • Beginner

Google Cloud

Natural Language Processing on Google Cloud

4.4540 ratings

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. -…

Partner
  • Coursera
  • 7 hours
  • Self-paced
  • Paid certificate

IBM

Apache Spark for Data Engineering and Machine Learning

4.729 ratings

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…

  • edX
  • 3 weeks, 3 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Microsoft

Create images with generative AI

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 Learn
  • 25 minutes
  • Self-paced
  • Free course
  • Free badge
  • Beginner

Microsoft

Microsoft Azure Machine Learning

4.4305 ratings

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.…

Partner
  • Coursera
  • 4 weeks of study, 1-2 hours/week.
  • Self-paced
  • Paid certificate

Microsoft

Automate machine learning workflows

Learn about automation for machine learning, machine learning operations, and MLOps.

  • Microsoft Learn
  • 30 minutes
  • Self-paced
  • Free course
  • Free badge
  • Beginner

Microsoft

Automate model training with GitHub Actions

Choose this module if you want to automate and validate model training with GitHub Actions and Azure Machine Learning pipelines.

  • Microsoft Learn
  • 50 minutes
  • Self-paced
  • Free course
  • Free badge
  • Beginner

Microsoft

Microsoft Azure for AI and Machine Learning

4.627 ratings

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…

Partner
  • Coursera
  • 5 weeks of study, 7-8 hours/week
  • Self-paced
  • Paid certificate

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