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This course introduces you to Amazon Mechanical Turk, which gives you access to a diverse, on-demand, scalable workforce and gives workers a selection of thousands of tasks to complete.
Read more
This course introduces you to Amazon Mechanical Turk, which gives you access to a diverse, on-demand, scalable workforce and gives workers a selection of thousands of tasks to complete.
Read more
This course introduces you to Amazon Mechanical Turk, which gives you access to a diverse, on-demand, scalable workforce and gives workers a selection of thousands of tasks to complete.
This course introduces you to Amazon Mechanical Turk, which gives you access to a diverse, on-demand, scalable workforce and gives workers a selection of thousands of tasks to complete. In this course, we’ll show you use cases and demonstrate how Amazon Mechanical Turk works, including how to add funds to your account, create and publish tasks, and get results. We also discuss qualifications, the service feature that helps make sure tasks are filtered to the appropriate and qualified worker.
Register for this course and see more details by visiting:
OpenCourser.com/course/4zl093/introduction
What's inside
Syllabus
Introduction to Amazon Mechanical Turk
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores Amazon Mechanical Turk, which is a powerful tool for accessing a diverse workforce
Taught by AWS, who are recognized for their expertise in cloud computing
Covers use cases and demonstrates how Amazon Mechanical Turk works, providing practical knowledge
Helps learners navigate the platform, including adding funds, creating tasks, and getting results
Teaches about qualifications, a feature that helps filter tasks to appropriate workers, which is crucial for task relevance and quality
Designed for learners who want to leverage Amazon Mechanical Turk's on-demand workforce
Save this course
Save Introduction to Amazon Mechanical Turk to your list so you can find it easily later:
Save
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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 Introduction to Amazon Mechanical Turk with these
activities:
Read 'Get Started with Amazon Mechanical Turk'
Show steps
Familiarize yourself with the basics of Amazon Mechanical Turk.
Show steps
-
Locate a copy of the book
-
Read the introduction and skim the chapters
Walk through the Amazon Mechanical Turk Tutorials
Show steps
Gain a hands-on understanding of Amazon Mechanical Turk.
Show steps
-
Visit the Amazon Mechanical Turk tutorial page
-
Complete the 'Getting Started' tutorial
-
Complete the 'Creating and Publishing a Human Intelligence Task' tutorial
Complete practice exercises on Amazon Mechanical Turk
Show steps
Reinforce your knowledge of Amazon Mechanical Turk through practice.
Show steps
-
Visit the Amazon Mechanical Turk sandbox
-
Complete the practice exercises provided in the sandbox
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a sample Amazon Mechanical Turk task
Show steps
Apply your understanding of Amazon Mechanical Turk by creating your own task.
Show steps
-
Log in to your Amazon Mechanical Turk account
-
Click on the 'Create HIT' button
-
Fill out the details of your task
-
Launch your task
Attend an Amazon Mechanical Turk meetup or conference
Show steps
Engage with others in the Amazon Mechanical Turk community.
Show steps
-
Find an Amazon Mechanical Turk meetup or conference in your area
-
Attend the event
-
Network with other attendees
Build a simple website or application that uses Amazon Mechanical Turk
Show steps
Enhance your understanding of Amazon Mechanical Turk and its applications.
Show steps
-
Identify a problem that can be solved using Amazon Mechanical Turk
-
Design your website or application
-
Integrate Amazon Mechanical Turk into your website or application
-
Test and deploy your website or application
Participate in an Amazon Mechanical Turk competition
Show steps
Challenge yourself and gain recognition for your skills in using Amazon Mechanical Turk.
Show steps
-
Identify an Amazon Mechanical Turk competition that aligns with your interests
-
Read the competition guidelines and requirements
-
Develop your solution
-
Submit your solution to the competition
Write a blog post about your experience using Amazon Mechanical Turk
Show steps
Showcase your knowledge and share your insights on using Amazon Mechanical Turk.
Show steps
-
Choose a topic related to your experience using Amazon Mechanical Turk
-
Write an outline for your blog post
-
Write the content for your blog post
-
Edit and proofread your blog post
-
Publish your blog post
Read 'Get Started with Amazon Mechanical Turk'
Show steps
Familiarize yourself with the basics of Amazon Mechanical Turk.
Show steps
Show steps
Show steps
- Locate a copy of the book
- Read the introduction and skim the chapters
Walk through the Amazon Mechanical Turk Tutorials
Show steps
Gain a hands-on understanding of Amazon Mechanical Turk.
Show steps
Show steps
Show steps
- Visit the Amazon Mechanical Turk tutorial page
- Complete the 'Getting Started' tutorial
- Complete the 'Creating and Publishing a Human Intelligence Task' tutorial
Complete practice exercises on Amazon Mechanical Turk
Show steps
Reinforce your knowledge of Amazon Mechanical Turk through practice.
Show steps
Show steps
Show steps
- Visit the Amazon Mechanical Turk sandbox
- Complete the practice exercises provided in the sandbox
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a sample Amazon Mechanical Turk task
Show steps
Apply your understanding of Amazon Mechanical Turk by creating your own task.
Show steps
Show steps
Show steps
- Log in to your Amazon Mechanical Turk account
- Click on the 'Create HIT' button
- Fill out the details of your task
- Launch your task
Attend an Amazon Mechanical Turk meetup or conference
Show steps
Engage with others in the Amazon Mechanical Turk community.
Show steps
Show steps
Show steps
- Find an Amazon Mechanical Turk meetup or conference in your area
- Attend the event
- Network with other attendees
Build a simple website or application that uses Amazon Mechanical Turk
Show steps
Enhance your understanding of Amazon Mechanical Turk and its applications.
Show steps
Show steps
Show steps
- Identify a problem that can be solved using Amazon Mechanical Turk
- Design your website or application
- Integrate Amazon Mechanical Turk into your website or application
- Test and deploy your website or application
Participate in an Amazon Mechanical Turk competition
Show steps
Challenge yourself and gain recognition for your skills in using Amazon Mechanical Turk.
Show steps
Show steps
Show steps
- Identify an Amazon Mechanical Turk competition that aligns with your interests
- Read the competition guidelines and requirements
- Develop your solution
- Submit your solution to the competition
Write a blog post about your experience using Amazon Mechanical Turk
Show steps
Showcase your knowledge and share your insights on using Amazon Mechanical Turk.
Show steps
Show steps
Show steps
- Choose a topic related to your experience using Amazon Mechanical Turk
- Write an outline for your blog post
- Write the content for your blog post
- Edit and proofread your blog post
- Publish your blog post
Career center
Learners who complete Introduction to Amazon Mechanical Turk will develop knowledge and skills
that may be useful to these careers:
User Researcher
User Researcher
A User Researcher is responsible for understanding user needs, feedback, and motivations. This course may be useful for learning about how to collect data from users through tasks you post on Amazon Mechanical Turk. This platform provides access to a diverse workforce, which can help you reach a wider range of users.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may be useful by providing you with the skills to manage a team of human workers on Amazon Mechanical Turk. You will learn how to create tasks, set deadlines, and monitor progress.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading a team of sales representatives. This course may be useful by teaching you about how to use Amazon Mechanical Turk to generate leads, qualify prospects, and close deals.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods to extract knowledge from data. This course may be useful by introducing you to methods for acquiring labeled datasets, which is a common task on Amazon Mechanical Turk. You will also learn about best practices for working with human workers to ensure the accuracy of your data.
Business Analyst
Business Analyst
A Business Analyst helps organizations to improve their performance by analyzing data and identifying opportunities for improvement. This course may be useful by teaching you about how to use Amazon Mechanical Turk to collect data from customers, employees, and other stakeholders.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help organizations make informed decisions. This course may be useful by introducing you to methods for acquiring labeled datasets, which is a common task on Amazon Mechanical Turk. You will also learn about best practices for working with human workers to ensure the accuracy of your data.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course may be useful by teaching you about how to use Amazon Mechanical Turk to collect market research data, test marketing materials, and gather feedback from customers.
UX Designer
UX Designer
A UX Designer is responsible for designing user interfaces that are both functional and visually appealing. This course may be useful for learning about how to use Amazon Mechanical Turk to gather feedback on your designs and make sure that they are meeting the needs of your users.
Market Researcher
Market Researcher
A Market Researcher conducts research to understand market trends and consumer behavior. This course may be useful by providing you with the skills to collect data from a diverse group of respondents quickly and cost-effectively. Amazon Mechanical Turk can be a valuable tool for gathering insights on new products, services, or marketing campaigns.
Content Strategist
Content Strategist
A Content Strategist is responsible for developing and executing content marketing strategies. This course may be useful by teaching you about how to use Amazon Mechanical Turk to create content, edit content, and gather feedback from users.
Operations Manager
Operations Manager
An Operations Manager is responsible for overseeing the day-to-day operations of an organization. This course may be useful by providing you with the skills to manage a team of human workers on Amazon Mechanical Turk. You will learn how to create tasks, set deadlines, and monitor progress.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with their products or services. This course may be useful by teaching you about how to use Amazon Mechanical Turk to collect feedback from customers, identify areas for improvement, and resolve issues.
Web Developer
Web Developer
A Web Developer designs, develops, and maintains websites. This course may be useful for learning about how to use Amazon Mechanical Turk to test and debug your websites and to collect feedback from users.
Product Manager
Product Manager
A Product Manager is responsible for defining a product's vision, roadmap, and features. This course may be useful by teaching you about the basics of crowdsourcing and how to use it to collect feedback on product ideas, test prototypes, and gather user data.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful for learning about how to use Amazon Mechanical Turk to test and debug your software and to collect feedback from users.
For more career information including salaries, visit:
OpenCourser.com/course/4zl093/introduction
Reading list
We've selected nine 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
Introduction to Amazon Mechanical Turk.
Save
Provides a comprehensive overview of the theory and practice of crowdsourcing, including an in-depth look at Amazon Mechanical Turk. It valuable resource for anyone interested in learning more about the platform and how to use it effectively.
Provides a basic introduction to crowdsourcing, including a discussion of Amazon Mechanical Turk. It good choice for beginners who want to learn more about the platform.
Provides a discussion of the future of work and the impact of technology on the labor market. It includes a discussion of the gig economy and crowdsourcing.
Provides a discussion of algorithms and how they are used to make decisions. It helpful resource for understanding the algorithms that are used on Amazon Mechanical Turk.
Provides a discussion of human social behavior. It helpful resource for understanding the motivations of workers on Amazon Mechanical Turk.
Save
Provides a discussion of human thinking and decision-making. It helpful resource for understanding the cognitive biases that can affect workers on Amazon Mechanical Turk.
Save
Provides a discussion of the paradox of choice and how it can affect workers on Amazon Mechanical Turk. It helpful resource for understanding the challenges of designing effective tasks.
Save
Provides a discussion of nudges and how they can be used to improve decision-making. It helpful resource for understanding how to design tasks that encourage workers to make good choices.
Save
Provides a discussion of habits and how they can affect behavior. It helpful resource for understanding the habits of workers on Amazon Mechanical Turk.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4zl093/introduction
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Time
7 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Explores Amazon Mechanical Turk, which is a powerful tool for accessing a diverse workforce
Taught by AWS, who are recognized for their expertise in cloud computing
Covers use cases and demonstrates how Amazon Mechanical Turk works, providing practical knowledge
Helps learners navigate the platform, including adding funds, creating tasks, and getting results
Teaches about qualifications, a feature that helps filter tasks to appropriate workers, which is crucial for task relevance and quality
Designed for learners who want to leverage Amazon Mechanical Turk's on-demand workforce
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