ML

Coursera

DeepLearning.AI

Advanced Computer Vision with TensorFlow (Coursera)

Data Science

Dive deep into the world of advanced computer vision with our expert-led course on TensorFlow. From image classification to complex object detection and segmentation, this course will equip you with the skills to analyze images at a sophisticated level using state-of-the-art models like ResNet-50 and Mask-RCNN. Whether you're looking to improve existing systems or develop new applications in computer vision, this course is your gateway to mastering cutting-edge techniques.

Nov 9th 2026

4 Weeks

ML Computer Vision Visualization

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Coursera

Google Cloud

ML Pipelines on Google Cloud (Coursera)

Data Science

Dive into the world of machine learning with 'ML Pipelines on Google Cloud' – a course designed to equip you with the skills needed to build, manage, and automate complex ML workflows. Learn from experienced trainers at Google Cloud as they guide you through the creation of robust pipelines using TFX, TensorFlow's production platform.

Nov 9th 2026

4 Weeks

ML Machine Learning Google Cloud

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EdX

IBM

PyTorch Basics for Machine Learning (edX)

Statistics & Data Analysis Data Science

Dive into the world of PyTorch with our introductory course, where you'll learn the essential skills needed for machine learning. From implementing basic algorithms to optimizing your models, this course is designed to give you a strong foundation in using PyTorch efficiently. Start your journey towards mastering deep learning today.

Self Paced

Self-Paced

ML Machine Learning Linear Regression

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EdX

IBM

Apache Spark for Data Engineering and Machine Learning (edX)

Computer Science

Dive into the world of big data processing and machine learning with our introductory course on Apache Spark. Whether you're new to data engineering or looking to enhance your ML skills, this course provides a hands-on approach to understanding and applying Spark's powerful capabilities in Structured Streaming, Extract-Transform-Load (ETL) processes for Machine Learning pipelines, and Spark ML techniques.

Self Paced

Self-Paced

ML Machine Learning Apache Spark

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Coursera

Duke University

Managing Machine Learning Projects (Coursera)

Statistics & Data Analysis Data Science

Dive into the practical aspects of managing machine learning projects with this specialized course by Duke University's Pratt School of Engineering. This second part of the AI Product Management Specialization covers essential steps from identifying opportunities to deploying and maintaining ML systems. Gain insights into the data science process, model building, and system design.

Nov 9th 2026

5-12 Weeks

ML Machine Learning Project Management

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Coursera

Duke University

Machine Learning Foundations for Product Managers (Coursera)

Data Science

Dive into the basics of machine learning technology in this comprehensive course tailored for product managers. Understand the principles behind ML, its practical applications, and learn how to work synergistically with data scientists and engineers.

Nov 9th 2026

5-12 Weeks

ML Machine Learning Clustering

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Coursera

CertNexus

Train Machine Learning Models (Coursera)

Data Science

Discover the fundamentals of machine learning and gain practical skills in training, tuning, and evaluating models. This course is ideal for business professionals looking to harness the potential of ML for solving complex data-driven challenges.

Nov 9th 2026

5-12 Weeks

ML Machine Learning Clustering

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Coursera

IBM

Machine Learning Introduction for Everyone (Coursera)

Data Science

Embark on a journey into the world of Machine Learning with our beginner-friendly course. Over three engaging modules, you'll explore the history, applications, and core concepts of machine learning, including supervised vs unsupervised learning, classification, regression, and model evaluation. Ideal for those new to data science looking to build a strong foundation.

Nov 9th 2026

3 Weeks

ML Artificial Intelligence Machine Learning

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EdX

Arm Education,ArmEducationX

Machine Learning at the Edge on Arm: A Practical Introduction (edX)

Engineering Eng: Electronics

Embark on a journey into the future of machine learning with 'Machine Learning at the Edge on Arm: A Practical Introduction'. This course is designed for tech enthusiasts and professionals looking to harness the power of edge computing and Arm-based microcontrollers. Learn how to create cutting-edge ML applications that process data locally, enhancing efficiency and privacy.

Self Paced

Self-Paced

ML Artificial Intelligence Machine Learning

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