MLOps

Coursera

DeepLearning.AI,AWS

Build, Train, and Deploy ML Pipelines using BERT (Coursera)

Data Science

Dive into the world of Natural Language Processing (NLP) with our specialized course on Building, Training, and Deploying ML Pipelines using BERT. This course is designed for data scientists and enthusiasts looking to harness the capabilities of Amazon SageMaker and Hugging Face's BERT algorithm to automate complex tasks and create efficient machine learning pipelines.

Mar 25th 2024

3 Weeks

Debugging Machine Learning Artifacts

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EdX

HarvardX,Harvard University

MLOps for Scaling TinyML (edX)

Data Science Computer Science

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.

Self Paced

Self-Paced

Machine Learning TinyML Tiny Machine Learning

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EdX

Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-GCP): Data Pipeline Automation & Optimization using Google Cloud Platform (GCP) (edX)

Statistics & Data Analysis Data Science

Transform your approach to deploying machine learning models with our comprehensive course on MLOps2-GCP. Dive into the world of data pipeline automation and optimization using Google Cloud Platform (GCP) to ensure smooth, efficient, and successful ML project deployments. Whether you're a data scientist, engineer, or enthusiast, this course will equip you with the essential skills needed to overcome one of the primary challenges in machine learning.

Self Paced

Self-Paced

GCP Optimization Automation

Details

EdX

Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-AML): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML) (edX)

Statistics & Data Analysis Data Science

Unlock the secrets of successful machine learning project deployment with our MLOps2 course. Specializing in Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML), this course equips you with essential skills for automating your ML pipeline, ensuring efficient model deployment and continuous optimization. Perfect for data scientists and engineers looking to streamline their processes.

Self Paced

Self-Paced

Optimization Automation Azure Machine Learning

Details

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

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

EdX

Statistics.comX,Statistics.com

Machine Learning Operations 1 (MLOps1-GCP): Deploying AI & ML Models in Production using Google Cloud Platform (GCP) (edX)

Statistics & Data Analysis Data Science

Unlock the secrets to successful data science project deployment with our Machine Learning Operations 1 (MLOps1-GCP) course. Specializing in deploying AI & ML models using Google Cloud Platform (GCP), this course equips you with the skills needed to effectively monitor and iterate on model performance, ensuring your projects succeed.

Self Paced

Self-Paced

GCP Machine Learning Pipelines Google Cloud Platform

Details

EdX

AI (Pragmatic AI Labs)

Cloud Machine Learning Engineering and MLOps (edX)

Computer Science

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.

Self Paced

Self-Paced

Cloud Machine Learning Emerging Technologies

Details

EdX

AI (Pragmatic AI Labs)

Using GenAI to Automate Software Development Tasks (edX)

Computer Science

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.

Self Paced

Self-Paced

Python Artificial Intelligence Productivity

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