Coursera
Embark on a journey into the world of machine learning with our 'Introduction to Vertex AI' course. This concise, 4-hour program is tailored for beginners and professionals looking to leverage Google Cloud's Vertex AI platform. Master the basics, understand its capabilities, and learn how to apply this tool in your projects.
Coursera
Dive into the world of Cloud Machine Learning Engineering and MLOps with our specialized online course. This course is designed for those who want to develop, deploy, and manage machine learning models at scale using cloud-based tools and best practices in software development. Gain practical experience by working on real-world projects and learn how to leverage data engineering principles to enhance your ML applications.
Coursera
Unlock your potential in MLOps by mastering Python essentials. This course covers fundamental programming concepts, data manipulation with Pandas and NumPy, and practical applications crucial for managing machine learning models in production environments.
Coursera
Discover the art of Machine Learning Operations (MLOps) with our comprehensive course on Google Cloud's Vertex AI platform. Learn how to efficiently deploy, evaluate, monitor, and operate your production-level machine learning systems. Gain hands-on experience managing features using Vertex AI Feature Store's streaming ingestion at the SDK layer.
EdX
Embark on a journey into Machine Learning Operations (MLOps) with a focus on scaling Tiny Machine Learning (TinyML). Learn best practices for deploying, monitoring, and maintaining ML models that are small enough to run on resource-constrained devices. This course is designed for developers, data scientists, and engineers who want to leverage the potential of tiny machine learning in their applications.
Coursera
Discover how to effectively build, train, and deploy machine learning solutions in a production setting through MLOps Platforms: Amazon SageMaker and Azure ML course. This comprehensive guide will equip you with the necessary expertise on two leading cloud platforms—Amazon Web Services (AWS) and Microsoft Azure—to succeed in data science, software engineering, development, analysis, or any role that leverages machine learning.
Coursera
Dive into the world of DevOps, DataOps, and MLOps with this advanced online course designed for data scientists, software engineers, developers, and analysts. This course will equip you with the knowledge and tools needed to manage complex operations in software development, data management, and machine learning model deployment. You'll learn through practical examples using AI pair programming with GitHub Copilot, ensuring that your skills are directly applicable to solving real-world problems.
EdX
Dive into the world of Cloud Machine Learning Engineering and MLOps with this comprehensive course. Gain expertise in building, deploying, and managing scalable machine learning models using cloud platforms. This course is designed for those looking to harness the power of AutoML and emerging technologies in ML engineering.
EdX
Discover how to revolutionize your software development process by automating tasks using the latest advancements in Generative Artificial Intelligence (GenAI). In this comprehensive course, you'll learn to harness AI's power through pair programming, crafting effective prompts, and implementing MLOps best practices for Rust and Python. Whether you're a seasoned developer or new to automation, this course will equip you with the skills needed to enhance productivity and efficiency.