Machine Learning

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MLOps Platforms: Amazon SageMaker and Azure ML (Coursera) Coursera
Duke University

MLOps Platforms: Amazon SageMaker and Azure ML (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.

Nov 9th 2026
5-12 Weeks
DevOps, DataOps, MLOps (Coursera) Coursera
Duke University

DevOps, DataOps, MLOps (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.

Nov 9th 2026
5-12 Weeks
AI skills for Engineers: Supervised Machine Learning (edX) EdX
Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Discover the essential principles of machine learning tailored specifically for engineering professionals. This course will guide you through the application of various classification and regression techniques using Python's powerful scikit-learn library. You'll learn how to leverage these models for making predictions in a variety of engineering contexts, from predicting object properties to optimizing complex systems.

Self Paced
Self-Paced
Google Cloud Big Data and Machine Learning Fundamentals (edX) EdX
Google Cloud

Google Cloud Big Data and Machine Learning Fundamentals (edX)

Embark on an educational journey with 'Google Cloud Big Data and Machine Learning Fundamentals' – a course tailored for professionals aiming to harness the power of Google Cloud's suite of tools. Whether you're a data analyst, engineer, scientist, or ML engineer, this course will guide you through the essential processes involved in constructing a reliable big data pipeline and deploying machine learning models using Vertex AI on Google Cloud Platform.

Self Paced
Self-Paced
Encoder-Decoder Architecture (Coursera) Coursera
Google Cloud

Encoder-Decoder Architecture (Coursera)

Dive into the fundamentals of the Encoder-Decoder Architecture, a key concept in advanced machine learning. This course, available on Coursera, will guide you through understanding and implementing this architecture for various applications such as poetry generation, translation, and more. Get hands-on experience with TensorFlow to build your own models.

Nov 9th 2026
1 Week
Introduction to Image Generation (Coursera) Coursera
Google Cloud

Introduction to Image Generation (Coursera)

Dive into the world of cutting-edge image generation technology with our 'Introduction to Image Generation' course. This beginner-friendly program explores diffusion models – a revolutionary approach that has transformed the landscape of machine learning in image creation. Gain insights into the physics-inspired theory behind these models and learn how to apply them practically using Google Cloud's powerful Vertex AI platform.

Nov 9th 2026
3 Weeks
Data Science Challenge (Coursera) Coursera
Coursera Project Network

Data Science Challenge (Coursera)

Embark on a thrilling journey into the world of data science with the Data Science Challenge course. This hands-on experience will test your analytical prowess as you compete against other learners in building accurate prediction models using real-world datasets. Perfect for those who want to hone their skills in Python and Jupyter Notebooks, this course is an essential step towards becoming a proficient data scientist.

Nov 9th 2026
1 Week