AutoML

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AI Fundamentals for Non-Data Scientists (Coursera) Coursera
University of Pennsylvania

AI Fundamentals for Non-Data Scientists (Coursera)

Dive into the world of Artificial Intelligence without needing a background in data science. This course is tailored for those looking to integrate AI fundamentals into their professional or personal projects. From understanding Machine Learning algorithms to implementing Deep Learning techniques using tools like TensorFlow and Teachable Machine, this course equips you with the knowledge to harness the potential of AI.

Jun 22nd 2026
4 Weeks
Cloud Machine Learning Engineering and MLOps (Coursera) Coursera
Duke University

Cloud Machine Learning Engineering and MLOps (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.

Jun 15th 2026
3 Weeks
Machine Learning Modeling Pipelines in Production (Coursera) Coursera
DeepLearning.AI

Machine Learning Modeling Pipelines in Production (Coursera)

Dive deep into the world of Machine Learning Modeling Pipelines in Production. This course will guide you through building robust models for various serving environments, optimizing resource management, and using analytics tools to ensure your models perform optimally both offline and online. Explore techniques to tackle model fairness, explainability, and performance bottlenecks.

Jul 15th 2024
5-12 Weeks
Analyze Datasets and Train ML Models using AutoML (Coursera) Coursera
DeepLearning.AI,AWS

Analyze Datasets and Train ML Models using AutoML (Coursera)

Dive into the world of Practical Data Science with our specialized course designed to equip you with essential skills in analyzing datasets, employing automated machine learning techniques, and training sophisticated ML models. This course focuses on foundational concepts such as exploratory data analysis (EDA), AutoML, and text classification algorithms, providing hands-on experience with Amazon SageMaker Clarify and Data Wrangler tools.

Mar 25th 2024
4 Weeks
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