AI Applications in People Management from Coursera

What's inside

Syllabus

Module 1 – The Promise and Potential of AI in HR

In this module, you will learn about the challenges that the HR field has faced prior to the implementation of artificial intelligence as well as the role data and machine learning play in optimizing decision making. You will also learn about the role that training data plays in machine learning, how rule-based systems are used to mimic human intelligence and how they manipulate that data based on those rules. By the end of this module, you will be able to understand the concepts behind artificial intelligence, rule-based systems, and how data science has changed HR Management.

Module 2 – AI Application

In this module, you will learn how AI is applied in HR, and how machine learning can change how people are managed within all HR functions. You will learn how artificial intelligence algorithms can be used in various scenarios and how data can be used to make predictions. By the end of this module, you will be able to distinguish how best to use AI algorithms to manage engagement, attrition, and internal career paths.

Module 3 – Challenges With Applying AI to HR

In this module, you will examine the challenges that you may face when implementing AI as a tool. You will identify the changing trends in hiring and how that factors into finding the right applicants and how to best apply AI in hiring decisions. By the end of this module, you will be able to determine how to balance machine-driven decisions and input from supervisors to select the best candidates.

Module 4 – Emerging Solutions

In this module, you will learn about biases that exist within algorithms and how to manage and avoid data adequacy bias. You will also learn how to understand and interpret results, use blockchain to keep data private and secure and understand the transformative nature of blockchain technology. By the end of this module, you will be able to explain how data science and AI have markedly changed the way we approach HR and incorporate emerging technological solutions to structure people management.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Offers an up-to-date study of the intersection of AI and HR processes, which is standard in the industry

Taught by three experienced and well-regarded instructors, Matthew Bidwell, Peter Cappelli, and Prasanna Tambe, who are recognized for their work in the field of HR management

Develops skills in using AI and machine learning to optimize HR management functions, which are highly relevant to industry

Examines biases that exist within algorithms and how to manage and avoid them, which is essential for ethical and responsible use of AI in HR

Includes a mix of content delivery methods such as videos, readings, and discussions, catering to diverse learning preferences

Covers emerging solutions in the field, such as blockchain technology, which can be transformative for HR management

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 AI Applications in People Management with these activities:

Review your foundational knowledge in statistics and data analysis

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Strengthen your understanding of data analysis techniques used in AI and ML.

Browse courses on Statistics

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Review your notes or textbooks on statistics and data analysis.
Practice solving statistical problems.
Take online quizzes or tests to assess your understanding.

Join a study group or discussion forum

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Engage with peers to discuss and reinforce course concepts.

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Find a study group or discussion forum related to AI in HR.
Participate in discussions and ask questions.
Share your insights and help others learn.

Practice using machine learning algorithms

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Gain hands-on experience with machine learning techniques used in HR.

Browse courses on Machine Learning Algorithms

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Choose a machine learning platform or library.
Follow tutorials or documentation to learn the basics of the platform.
Find a dataset related to HR.
Preprocess the data and prepare it for modeling.
Experiment with different machine learning algorithms and evaluate their performance.

Two other activities

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Create a presentation or report on a specific topic in AI and HR

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Consolidate your knowledge by creating a deliverable that demonstrates your understanding of a specific topic.

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Choose a topic in AI and HR that you are interested in.
Research and gather information on the topic.
Organize your content into a logical structure.
Create visual aids to support your presentation.
Practice your presentation or write a concise report.

Mentor a junior or aspiring HR professional

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Reinforce your knowledge by mentoring others and sharing your expertise.

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Identify a mentee who is interested in AI and HR.
Set up regular meetings or communication channels.
Provide guidance and support based on your knowledge and experience.
Encourage your mentee to ask questions and explore different perspectives.

Career center

Learners who complete AI Applications in People Management will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are responsible for analyzing data to extract meaningful insights. This course provides a strong foundation in data science, machine learning, and artificial intelligence, all of which are essential skills for Data Scientists. By completing this course, you will be able to use data to make predictions and identify patterns, which will be invaluable in your role as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and deploying machine learning models. This course provides a strong foundation in machine learning, which is essential for Machine Learning Engineers. By completing this course, you will be able to develop and deploy machine learning models that can be used to solve a variety of problems.

See salaries and explore the career path for Machine Learning Engineer

Human Resources Manager

Human Resources Managers are responsible for managing all aspects of human resources, including recruiting, hiring, training, and development. This course provides a comprehensive overview of AI applications in HR, which will help you to stay ahead of the curve and use AI to streamline your HR processes. By completing this course, you will be able to use AI to identify top talent, improve employee engagement, and reduce attrition.

See salaries and explore the career path for Human Resources Manager

AI Engineer

AI Engineers are responsible for designing, developing, and deploying AI systems. This course provides a comprehensive overview of AI, machine learning, and deep learning, which are all essential skills for AI Engineers. By completing this course, you will be able to design, develop, and deploy AI systems that can be used to solve a variety of problems.

See salaries and explore the career path for AI Engineer

Talent Acquisition Manager

Talent Acquisition Managers are responsible for attracting and hiring top talent. This course provides a comprehensive overview of AI applications in recruiting, which will help you to use AI to find and hire the best candidates. By completing this course, you will be able to use AI to identify top talent, screen candidates, and make hiring decisions.

See salaries and explore the career path for Talent Acquisition Manager

Organizational Development Consultant

Organizational Development Consultants are responsible for helping organizations to improve their performance. This course provides a comprehensive overview of AI applications in organizational development, which will help you to use AI to improve employee engagement, reduce attrition, and develop leadership talent. By completing this course, you will be able to use AI to help organizations to achieve their goals.

See salaries and explore the career path for Organizational Development Consultant

Machine Learning Scientist

Machine Learning Scientists are responsible for developing and deploying machine learning models. This course provides a strong foundation in machine learning, which is essential for Machine Learning Scientists. By completing this course, you will be able to develop and deploy machine learning models that can be used to solve a variety of problems.

See salaries and explore the career path for Machine Learning Scientist

Statistician

Statisticians are responsible for collecting, analyzing, and interpreting data. This course provides a strong foundation in statistics, which is essential for Statisticians. By completing this course, you will be able to use data to make predictions and identify patterns, which will be invaluable in your role as a Statistician.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts are responsible for analyzing data to extract meaningful insights. This course provides a strong foundation in data analysis, which is essential for Data Analysts. By completing this course, you will be able to use data to make predictions and identify patterns, which will be invaluable in your role as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers are responsible for designing and building data pipelines. This course provides a strong foundation in data engineering, which is essential for Data Engineers. By completing this course, you will be able to design and build data pipelines that can be used to store and process large volumes of data.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and testing software applications. This course provides a strong foundation in software engineering, which is essential for Software Engineers. By completing this course, you will be able to design, develop, and test software applications that can be used to solve a variety of problems.

See salaries and explore the career path for Software Engineer

Computer Scientist

Computer Scientists are responsible for studying the theory and practice of computing. This course provides a strong foundation in computer science, which is essential for Computer Scientists. By completing this course, you will be able to understand the theoretical foundations of computing and apply them to solve a variety of problems.

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Data Architect

Data Architects are responsible for designing and managing data systems. This course provides a strong foundation in data architecture, which is essential for Data Architects. By completing this course, you will be able to design and manage data systems that can be used to store and process large volumes of data.

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Operations Research Analyst

Operations Research Analysts are responsible for using mathematical models to solve complex problems. This course provides a strong foundation in operations research, which is essential for Operations Research Analysts. By completing this course, you will be able to use mathematical models to optimize decision-making and improve efficiency.

See salaries and explore the career path for Operations Research Analyst

Business Analyst

Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This course provides a strong foundation in business analysis, which is essential for Business Analysts. By completing this course, you will be able to analyze business processes and identify opportunities for improvement.

See salaries and explore the career path for Business Analyst