About this Specialization
This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow. You'll also learn how to fine-tune Large Language Models (LLMs) using Hugging Face and understand the deployment of sustainable and efficient binary embedded models in the ONNX format, setting you up for success in the ever-evolving field of MLOps Through this series, you will begin to learn skills for various career paths: 1. Data Science - Analyze and interpret complex data sets, develop ML models, implement data management, and drive data-driven decision making. 2. Machine Learning Engineering - Design, build, and deploy ML models and systems to solve real-world problems. 3. Cloud ML Solutions Architect - Leverage cloud platforms like AWS and Azure to architect and manage ML solutions in a scalable, cost-effective manner. 4. Artificial Intelligence (AI) Product Management - Bridge the gap between business, engineering, and data science teams to deliver impactful AI/ML products.
From | Duke University via Coursera |
---|---|
Hours | 102 |
Instructors | Noah Gift, Alfredo Deza |
Language | English |
Subjects | Programming Data Science |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Managing Editor - Online Platforms $90k
Product Manager - Developer Platforms 2 $103k
Editorial Marketing Manager, Digital Platforms $112k
Technologist u2013 Middleware Platforms $117k
Product Manager, Database Platforms $118k
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Technology Platforms $144k
Digital Platforms Solution Architect $144k
Senior Technical Project Manager u2013 IT Productivity & Platforms $148k
Head of Program Management - Engineering Platforms $154k
Senior Product Manager - Developer Platforms $155k
Account Executive - DoubleClick Digital Marketing Platforms $157k
Courses in this Specialization
Listed in the order in which they should be taken
Starts | Course Information | |
---|---|---|
Jul |
Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This... Coursera | Duke University |
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Jun |
Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming... Coursera | Duke University |
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Jun |
MLOps Platforms: Amazon SageMaker and Azure ML In MLOps (Machine Learning Operations) Platforms: Amazon SageMaker and Azure ML you will learn the necessary skills to build, train, and deploy machine learning solutions in a... Coursera | Duke University |
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Jul |
MLOps Tools: MLflow and Hugging Face This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow and Hugging Face. We’ll go through the foundations on what it... Coursera | Duke University |
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|
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From | Duke University via Coursera |
---|---|
Hours | 102 |
Instructors | Noah Gift, Alfredo Deza |
Language | English |
Subjects | Programming Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Managing Editor - Online Platforms $90k
Product Manager - Developer Platforms 2 $103k
Editorial Marketing Manager, Digital Platforms $112k
Technologist u2013 Middleware Platforms $117k
Product Manager, Database Platforms $118k
Senior Wireless Platforms & System Validation - Software QA Engineer $131k
Technology Platforms $144k
Digital Platforms Solution Architect $144k
Senior Technical Project Manager u2013 IT Productivity & Platforms $148k
Head of Program Management - Engineering Platforms $154k
Senior Product Manager - Developer Platforms $155k
Account Executive - DoubleClick Digital Marketing Platforms $157k
Similar Courses
Sorted by relevance