ML Models

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Introduction to Machine Learning in Production (Coursera) Coursera
DeepLearning.AI

Introduction to Machine Learning in Production (Coursera)

Data Science

Dive into the world of production-ready machine learning with our comprehensive 'Introduction to Machine Learning in Production' course. This foundational program will guide you through every step of turning your models into robust systems that can handle the demands of a live environment. From scoping projects and understanding data needs, to modeling strategies and deployment constraints, this course sets the stage for building reliable ML applications.

Jun 22nd 2026
3 Weeks
ML Data Machine Learning
Details
Analyze Datasets and Train ML Models using AutoML (Coursera) Coursera
DeepLearning.AI,AWS

Analyze Datasets and Train ML Models using AutoML (Coursera)

Data Science

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
EDA Exploratory Data Analysis Bias
Details
Optimize ML Models and Deploy Human-in-the-Loop Pipelines (Coursera) Coursera
DeepLearning.AI,AWS

Optimize ML Models and Deploy Human-in-the-Loop Pipelines (Coursera)

Data Science

Dive into the world of advanced machine learning optimization and deployment with our 'Optimize ML Models and Deploy Human-in-the-Loop Pipelines' course. This course is designed for data scientists and practitioners looking to refine their models, improve prediction performance, and streamline the deployment process. By leveraging Amazon SageMaker's powerful tools, you'll learn how to automate model tuning, conduct A/B testing of model candidates, and scale successful models in real-time.

Mar 18th 2024
3 Weeks
A/B Testing Coursera Plus Model Deployment
Details
Estimating ML-Models Financial Impact (Coursera) Coursera
Higher School of Economics - HSE University

Estimating ML-Models Financial Impact (Coursera)

Data Science

Dive into the world of machine learning (ML) financial impact estimation with our specialized online course. Gain insights into how to accurately assess the financial implications of deploying ML models within business processes. This course will guide you through general approaches to financial estimation, specific applications in credit scoring and marketing response models, and the critical connection between model quality metrics and financial outcomes.

Jul 18th 2022
5-12 Weeks
ML Analysis Machine Learning
Details
Practical Crowdsourcing for Efficient Machine Learning (Coursera) Coursera
Yandex

Practical Crowdsourcing for Efficient Machine Learning (Coursera)

Data Science

Dive into the world of efficient machine learning with our 'Practical Crowdsourcing for Efficient Machine Learning' course. This comprehensive program will guide you through the process of using crowdsourcing methodologies to tackle complex challenges by breaking them down into manageable tasks, distributed across a wide network of contributors. Gain hands-on experience designing your own crowdsourced projects and learn techniques that ensure high-quality data labeling and stable performance.

Apr 25th 2022
5-12 Weeks
Machine Learning Data Science Business Processes
Details
Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX)

Statistics & Data Analysis Data Science

Transform your data science project from concept to successful implementation with Machine Learning Operations 1 (MLOps1-AWS). This comprehensive course on edX guides learners through the critical process of deploying AI and ML models using Amazon Web Services (AWS), addressing one of the primary challenges in data science: deployment. Learn how to effectively collaborate between data scientists and engineers, monitor model performance, and iterate for continuous improvement.

Self Paced
Self-Paced
Machine Learning Pipelines Amazon Web Services AWS
Details
Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX)

Statistics & Data Analysis Data Science

Unlock the secrets to successful data science project deployment with our MLOps1 course. Specializing in Microsoft Azure Machine Learning (AML), this course teaches you how to effectively deploy AI & ML models into production, ensuring continuous monitoring and iterative improvements for better performance.

Self Paced
Self-Paced
Azure ML Azure Machine Learning Machine Learning Pipelines
Details
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