DevOps, DataOps, MLOps

(0 reviews)

It pertains to the development of operations pipelines that employ the principles and practices of DevOps, DataOps, and MLOps for the development and deployment of models.

Key AI Functions:Python Libraries,Big Data,Machine Learning,Devops,Rust Programming

Description

Reviews

Alternative Tools

Description for DevOps, DataOps, MLOps

Develop operations pipelines by utilizing DevOps, DataOps, and MLOps.

Describe the principles and practices of MLOps, including continuous integration and delivery, model training and development, and data management.

Utilize MLOps tools and platforms to develop and deploy machine learning models in a production environment.

Level: Advanced

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Duke University

Duration: 44 hours (approximately)

Schedule: Flexible

Reviews for DevOps, DataOps, MLOps

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Automatic ML with H2O AutoML & Python

Mastering Gen AI: Advanced Fine-Tuning for LLMs

Navigating Gen AI: A CEO Playbook

Alternative Tools for DevOps, DataOps, MLOps

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models

Gen AI - Art of the Possible An Intro

Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

#Generative AI #Amazon Web Services

Retrieval Augmented Generation (RAG) - Intro

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning

Vertex AI - An Introduction

The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

#Critical Thinking #MLOps (Machine Learning Operations)

AI and ML Essentials with Python Specialization

Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

#Artificial Intelligence #Python (Programming Language)

Rust Programming Specialization

Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.

#Computer Programming #Rust (Programming Language)