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Sandesh Belthangady
By the end of this project, you will learn how to build a spam detector using machine learning & launch it as a serverless API using AWS Elastic Beanstalk technology. You will be using the Flask python framework to create the API, basic machine learning...
Read more
By the end of this project, you will learn how to build a spam detector using machine learning & launch it as a serverless API using AWS Elastic Beanstalk technology. You will be using the Flask python framework to create the API, basic machine learning...
Read more
By the end of this project, you will learn how to build a spam detector using machine learning & launch it as a serverless API using AWS Elastic Beanstalk technology. You will be using the Flask python framework to create the API, basic machine learning methods to build the spam detector & AWS desktop management console to deploy the spam detector into the AWS cloud servers. Additionally, you will learn more about how to switch between different versions of your web application & also, monitoring your AWS servers using Elastic Beanstalk Desktop Management Console.
Note: To avoid distraction for set up during the course, we would recommend that you create an Amazon AWS account beforehand. Amazon AWS provides a free tier option for 1 year & the course materials will utilize services that fall under the free tier option.
Register for this course and see more details by visiting:
OpenCourser.com/course/a8mj13/deploy
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Develops machine learning methods and AWS Elastic Beanstalk desktop management console, which are core skills for aspiring data scientists and cloud engineers
Taught by Sandesh Belthangady, who are recognized for their work in using machine learning and AWS for spam detection
Examines how to build a spam detector using machine learning, which is highly relevant to data science and cloud computing
Teaches how to launch a spam detector as a serverless API using AWS Elastic Beanstalk technology, which is highly relevant to cloud computing
Offers hands-on labs and interactive materials, which helps learners practice and apply their knowledge
May require learners to come in with some background knowledge in machine learning and cloud computing
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Save Deploy Machine Learning Model into AWS Cloud Servers to your list so you can find it easily later:
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Reviews summary
Solid course for cloud beginners
This course is a solid introductory course for beginners who are interested in deploying machine learning models into AWS Cloud Servers. With its hands-on approach and clear explanations, learners will gain a good understanding of the basics of AWS, machine learning, and Flask framework.
Explanations are well explained
"well explained "
Good hands-on training
"This is a more systematic hands-on training"
Perfect for beginners
"great for starters like me"
ML model implementation could be deeper
"I just wish the course went a little more in-depth... with the ML model"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Deploy Machine Learning Model into AWS Cloud Servers with these
activities:
Review fundamental Flask concepts
Show steps
Start by refreshing your Flask foundation to ensure you can create and deploy web applications efficiently.
Browse courses on
Python
Show steps
-
Review Flask documentation
-
Watch Flask video tutorials
Practice with email classification exercises
Show steps
Reinforce your email classification skills with guided exercises to improve your accuracy in detecting spam emails.
Browse courses on
Machine Learning
Show steps
-
Complete email classification code challenges on websites like HackerRank or LeetCode
-
Practice on Kaggle datasets related to email spam classification
Learn about AWS Elastic Beanstalk platform
Show steps
Build a solid understanding of AWS Elastic Beanstalk's capabilities to effectively deploy your spam detector application.
Browse courses on
AWS
Show steps
-
Follow tutorials on AWS website or YouTube channels
-
Read AWS documentation on Elastic Beanstalk
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a workshop on spam filtering techniques
Show steps
Seek out workshops to gain practical insights and refine your spam filtering skills for real-world scenarios.
Browse courses on
Spam Filtering
Show steps
-
Find relevant workshops through online platforms or industry organizations
-
Register and prepare for the workshop
-
Attend the workshop and actively participate
Create a documentation guide for your spam detector
Show steps
Demonstrate your proficiency by creating a comprehensive guide to help users understand and utilize your spam detector effectively.
Browse courses on
Documentation
Show steps
-
Outline the key features and functionalities of your spam detector
-
Write clear and concise instructions for using the spam detector
-
Include troubleshooting tips and FAQs
Volunteer to mentor junior developers
Show steps
Share your knowledge and expertise by mentoring others, reinforcing your understanding and contributing to the community.
Browse courses on
Mentoring
Show steps
-
Identify opportunities to mentor through platforms or outreach programs
-
Provide guidance on spam detection projects or machine learning concepts
Review fundamental Flask concepts
Show steps
Start by refreshing your Flask foundation to ensure you can create and deploy web applications efficiently.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review Flask documentation
- Watch Flask video tutorials
Practice with email classification exercises
Show steps
Reinforce your email classification skills with guided exercises to improve your accuracy in detecting spam emails.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Complete email classification code challenges on websites like HackerRank or LeetCode
- Practice on Kaggle datasets related to email spam classification
Learn about AWS Elastic Beanstalk platform
Show steps
Build a solid understanding of AWS Elastic Beanstalk's capabilities to effectively deploy your spam detector application.
Browse courses on
AWS
Show steps
Show steps
Show steps
- Follow tutorials on AWS website or YouTube channels
- Read AWS documentation on Elastic Beanstalk
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a workshop on spam filtering techniques
Show steps
Seek out workshops to gain practical insights and refine your spam filtering skills for real-world scenarios.
Browse courses on
Spam Filtering
Show steps
Show steps
Show steps
- Find relevant workshops through online platforms or industry organizations
- Register and prepare for the workshop
- Attend the workshop and actively participate
Create a documentation guide for your spam detector
Show steps
Demonstrate your proficiency by creating a comprehensive guide to help users understand and utilize your spam detector effectively.
Browse courses on
Documentation
Show steps
Show steps
Show steps
- Outline the key features and functionalities of your spam detector
- Write clear and concise instructions for using the spam detector
- Include troubleshooting tips and FAQs
Volunteer to mentor junior developers
Show steps
Share your knowledge and expertise by mentoring others, reinforcing your understanding and contributing to the community.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify opportunities to mentor through platforms or outreach programs
- Provide guidance on spam detection projects or machine learning concepts
Career center
Learners who complete Deploy Machine Learning Model into AWS Cloud Servers will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make decisions. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
DevOps Engineer
DevOps Engineer
DevOps Engineers collaborate with software developers and system administrators to ensure that software is built, tested, and deployed efficiently. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
System Administrator
System Administrator
System Administrators manage and maintain computer systems and networks. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Security Analyst
Security Analyst
Security Analysts identify and mitigate security risks. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computing technologies. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Project Manager
Project Manager
Project Managers plan and execute projects. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Business Analyst
Business Analyst
Business Analysts analyze and improve business processes. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan, implement, and manage information technology systems. This course can help you get started in this field by providing you with the skills and knowledge you need to build a spam detector using machine learning. You will also learn how to launch your spam detector as a serverless API using AWS Elastic Beanstalk technology.
For more career information including salaries, visit:
OpenCourser.com/course/a8mj13/deploy
Reading list
We've selected 11 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
Deploy Machine Learning Model into AWS Cloud Servers.
Provides a comprehensive overview of pattern recognition and machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. This book is an excellent resource for beginners and experienced practitioners alike.
Save
Provides a comprehensive overview of deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. This book is an excellent resource for beginners and experienced practitioners alike.
Provides a comprehensive overview of statistical learning. It covers topics such as linear regression, logistic regression, and decision trees. This book is an excellent resource for beginners and experienced practitioners alike.
Provides a comprehensive introduction to deep learning with Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. This book is an excellent resource for beginners and experienced practitioners alike.
Provides a hands-on introduction to machine learning with Python. It covers topics such as data preparation, model training, and deployment. This book is an excellent resource for beginners and experienced practitioners alike.
Provides a hands-on introduction to machine learning with Python. It covers topics such as data preparation, model training, and deployment. This book is an excellent resource for beginners who want to learn about machine learning by doing.
Provides a concise overview of machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. This book is an excellent resource for beginners who want to learn about machine learning quickly and easily.
Provides a practical introduction to machine learning for beginners. It covers topics such as data preparation, model training, and deployment. This book is an excellent resource for beginners who want to learn about machine learning quickly and easily.
Provides a gentle introduction to machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. This book is an excellent resource for beginners who want to learn about machine learning in a non-technical way.
Save
Provides a gentle introduction to machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. This book is an excellent resource for beginners who want to learn about machine learning in a non-technical way.
Provides a gentle introduction to machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning. This book is an excellent resource for beginners who want to learn about machine learning in a non-technical way.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/a8mj13/deploy
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Sandesh Belthangady
Good to know
Develops machine learning methods and AWS Elastic Beanstalk desktop management console, which are core skills for aspiring data scientists and cloud engineers
Taught by Sandesh Belthangady, who are recognized for their work in using machine learning and AWS for spam detection
Examines how to build a spam detector using machine learning, which is highly relevant to data science and cloud computing
Teaches how to launch a spam detector as a serverless API using AWS Elastic Beanstalk technology, which is highly relevant to cloud computing
Offers hands-on labs and interactive materials, which helps learners practice and apply their knowledge
May require learners to come in with some background knowledge in machine learning and cloud computing
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