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
Read more
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
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.
What's inside
Four courses
Python Essentials for MLOps
(0 hours)
Python Essentials for MLOps
(0 hours)
DevOps, DataOps, MLOps
(0 hours)
DevOps, DataOps, MLOps
(0 hours)
MLOps Platforms: Amazon SageMaker and Azure ML
(0 hours)
MLOps Platforms: Amazon SageMaker and Azure ML
(0 hours)
MLOps Tools: MLflow and Hugging Face
(0 hours)
MLOps Tools: MLflow and Hugging Face
(0 hours)Learning objectives
- Master python fundamentals, mlops principles, and data management to build and deploy ml models in production environments.
- Utilize amazon sagemaker / aws, azure, mlflow, and hugging face for end-to-end ml solutions, pipeline creation, and api development.
- Fine-tune and deploy large language models (llms) and containerized models using the onnx format with hugging face.
- Design a full mlops pipeline with mlflow, managing projects, models, and tracking system features.
- Master python fundamentals, mlops principles, and data management to build and deploy ml models in production environments.
- Utilize amazon sagemaker / aws, azure, mlflow, and hugging face for end-to-end ml solutions, pipeline creation, and api development.
- Fine-tune and deploy large language models (llms) and containerized models using the onnx format with hugging face.
- Design a full mlops pipeline with mlflow, managing projects, models, and tracking system features.
Save this collection
Save
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
