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Deploying a Machine Learning Model with FastAPI
Take your machine learning skills to the next level. Learn how to develop, monitor, and deploy a model with FastAPI. Enroll in the Udacity training course today.
Prerequisite details
Read more
Take your machine learning skills to the next level. Learn how to develop, monitor, and deploy a model with FastAPI. Enroll in the Udacity training course today.
Prerequisite details
Read more
Take your machine learning skills to the next level. Learn how to develop, monitor, and deploy a model with FastAPI. Enroll in the Udacity training course today.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Basic machine learning
- Intermediate Python
- REST APIs
- Unit testing
- Basic github
- Command line interface basics
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/hfw8oz/deploying
What's inside
Syllabus
In the project, you'll develop, monitor, and deploy a classification model on publicly available Census Bureau data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners in developing, monitoring, and deploying machine learning models
Teaches how to develop, monitor, and deploy machine learning models, which are skills in high demand in industry
Uses publicly available Census Bureau data, making it relevant to real-world applications
Provides a hands-on project that allows learners to apply their knowledge
Requires learners to come in with basic machine learning, intermediate Python, and other prerequisite knowledge
Advised to take other courses first as prerequisites, which may not be readily available or accessible
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Activities
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We're preparing activities for
Deploying a Machine Learning Model with FastAPI.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Deploying a Machine Learning Model with FastAPI will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will design, develop, and maintain machine learning systems. You will use your knowledge of machine learning algorithms, data analysis, and software engineering to build models that can solve complex problems. This course will help you build a foundation in machine learning and provide you with the skills you need to develop and deploy your own models. The focus on REST APIs and unit testing will also prepare you for the challenges of working in a team environment.
Data Scientist
Data Scientist
Data Scientists use machine learning and other statistical techniques to extract insights from data. They work with a variety of data sources, from structured data to unstructured text. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in data analysis. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and technologies, and they must be able to understand and implement complex algorithms. This course will help you build a foundation in machine learning and provide you with the skills you need to develop and deploy machine learning models. The focus on REST APIs and unit testing will also prepare you for the challenges of working in a team environment.
Data Analyst
Data Analyst
Data Analysts gather, clean, and analyze data to help businesses make better decisions. They use a variety of statistical and machine learning techniques to identify trends and patterns in data. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in data analysis. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Business Analyst
Business Analyst
Business Analysts help businesses understand their data and make better decisions. They work with a variety of stakeholders, including business leaders, IT professionals, and data scientists. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in data analysis. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in data analysis. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. They work with a variety of financial institutions, including investment banks, hedge funds, and insurance companies. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in data analysis. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve complex problems in a variety of industries. They work with a variety of stakeholders, including engineers, business analysts, and data scientists. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in data analysis. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers develop new machine learning algorithms and techniques. They work with a variety of data sources, from structured data to unstructured text. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in machine learning. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. They work with a variety of programming languages and technologies, and they must be able to understand and implement complex algorithms. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in artificial intelligence. The focus on REST APIs and unit testing will also prepare you for the challenges of working in a team environment.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work with a variety of data sources, from structured data to unstructured text. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in data engineering. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. They work with a variety of database technologies, and they must be able to understand and implement complex queries. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in database administration. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Software Tester
Software Tester
Software Testers test software applications to ensure that they meet requirements. They work with a variety of testing tools and techniques, and they must be able to identify and report bugs. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in software testing. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Technical Writer
Technical Writer
Technical Writers create documentation for software applications and other technical products. They work with a variety of stakeholders, including engineers, designers, and marketers. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in technical writing. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
Customer Success Manager
Customer Success Manager
Customer Success Managers work with customers to ensure that they are successful with a product or service. They help customers with onboarding, training, and troubleshooting. This course will provide you with the skills you need to develop and deploy machine learning models, and it will also help you build a strong foundation in customer success management. The focus on REST APIs and unit testing will also be helpful if you plan to work in a team environment.
For more career information including salaries, visit:
OpenCourser.com/course/hfw8oz/deploying
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Deploying a Machine Learning Model with FastAPI.
Comprehensive guide to deep learning using Python. It covers the latest techniques and algorithms in deep learning, and it includes many hands-on exercises.
Practical guide to machine learning using Scikit-Learn, Keras, and TensorFlow. It provides a comprehensive overview of machine learning algorithms and techniques, and it includes many hands-on exercises.
Comprehensive guide to natural language processing using Python. It covers the basics of natural language processing, as well as more advanced topics such as deep learning for natural language processing.
Comprehensive introduction to speech and language processing. It covers the basics of speech and language processing, as well as more advanced topics such as deep learning for speech and language processing.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It great resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of Bayesian data analysis. It great resource for anyone who wants to learn more about Bayesian statistics.
Provides a comprehensive overview of statistical learning. It great resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of pattern recognition and machine learning. It great resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Save
Provides a comprehensive overview of data mining concepts and techniques. It great resource for anyone who wants to learn more about how to mine data for knowledge.
Provides a comprehensive overview of machine learning in action. It great resource for anyone who wants to learn more about how to use machine learning to solve real-world problems.
Provides a comprehensive overview of deep learning for coders using Fastai and PyTorch. It great resource for anyone who wants to learn more about how to use deep learning to solve real-world problems.
Comprehensive introduction to reinforcement learning. It covers the basics of reinforcement learning, as well as more advanced topics such as deep reinforcement learning.
Save
Provides a comprehensive overview of computer vision algorithms and applications. It great resource for anyone who wants to learn more about computer vision.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hfw8oz/deploying
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Effort
4 weeks
Via
Udacity
Language
English
Good to know
Builds a strong foundation for beginners in developing, monitoring, and deploying machine learning models
Teaches how to develop, monitor, and deploy machine learning models, which are skills in high demand in industry
Uses publicly available Census Bureau data, making it relevant to real-world applications
Provides a hands-on project that allows learners to apply their knowledge
Requires learners to come in with basic machine learning, intermediate Python, and other prerequisite knowledge
Advised to take other courses first as prerequisites, which may not be readily available or accessible
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