MLOps Specialization

(0 reviews)

Become a machine learning engineer. Enhance your programming abilities with MLOps

Key AI Functions:Microsoft Azure,Big Data,Data Analysis,Python Programming,Github,Machine Learning,Cloud Computing,Data Management,Devops,Amazon Web Services (Amazon AWS),Rust Programming,MLOps

Description

Reviews

Alternative Tools

Description for MLOps Specialization

Develop and implement machine learning models in production environments by mastering Python fundamentals, MLOps principles, and data management.

For the development of APIs, pipeline creation, and end-to-end ML solutions, employ Azure, MLflow, Hugging Face, and Amazon Sagemaker / AWS.

Utilize the ONNX format with Hugging Face to optimize and deploy containerized models and Large Language Models (LLMs).

Manage projects, models, and monitoring system features by designing a comprehensive MLOps pipeline using MLflow.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by Duke University

Duration: 6 months at 5 hours a week

Schedule: Flexible

Reviews for MLOps Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Automated Reasoning with GPT Assistant API: ReAct Agents

Rust Programming Specialization

Gen AI Assisting Data Scientists

Alternative Tools for MLOps Specialization

Featured Tools

Automated Reasoning with GPT Assistant API: ReAct Agents

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming

IBM AI Product Manager

Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.

#Artificial Intelligence #Product Management

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)

ML and NLP Basics

Acquire proficiency in machine learning and deep learning methodologies, such as TensorFlow, CNNs, RNNs, LSTMs, and NLP, to facilitate efficient data analysis.

#tensorflow #machine learning

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

Compare & Review AI Tool Directory AI Course Marketplace