Certifications are a great way to show your expertise in a certain field, and can help you get your next job, or even a promotion. We've asked our mentors to recommend the best certifications for you to consider in 2025.
Understanding all core concepts of MLops is key to claiming your next certificate. If you need help brushing up on your skills, consider reaching out to one of our mentors.
The AWS MLOps certification stands out as a key credential for professionals aiming to master the intersection of machine learning and operations within the AWS environment. A notable component of this certification is the 'MLOps Engineering on AWS' classroom training, designed to offer a comprehen…
The Databricks Certified Machine Learning Professional certification exam assesses an individual’s ability to use Databricks Machine Learning and its capabilities to perform advanced machine learning in production tasks. This includes the ability to track, version, and manage machine learning exper…
Whether you are deploying an AI project into production or adding AI to an existing application, building a performant and scalable machine learning operations (MLOps) environment is crucial to maximizing your resources.
This MLOps Professional Training Package teaches you to incorporate compute a…
If you are keen on learning how to apply DevOps for Machine Learning on Microsoft Azure, then this blog is for you. This Azure MLOps blog will dive deep into Azure MLOps capabilities and give you an in-depth insight into building a fully automated training and deployment pipeline on Azure.
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In this Machine Learning in Production course, you will build intuition about designing a production ML system end-to-end: project scoping, data needs, modeling strategies, and deployment patterns and technologies. You will learn strategies for addressing common challenges in production like establ…
This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow and Hugging Face. We’ll go through the foundations on what it takes to get started in these platforms with basic model and dataset operations. You will start with MLflow using projects a…
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Enginee…
This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platform…
Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming using technologies like GitHub Copilot to build solutions for machine learning (ML) and AI applications. This course is for …
Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques…
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