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Starweaver and Manas Dasgupta

In this course, you’ll discover how GenAI-powered tools can transform candidate screening by automating repetitive tasks, enhancing evaluations, and ensuring ethical hiring decisions. Through hands-on experience with custom GPTs, Gemini Gems, Power Automate, and AI-driven workflows, you’ll learn to optimize hiring processes, reduce bias, and improve decision-making.

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In this course, you’ll discover how GenAI-powered tools can transform candidate screening by automating repetitive tasks, enhancing evaluations, and ensuring ethical hiring decisions. Through hands-on experience with custom GPTs, Gemini Gems, Power Automate, and AI-driven workflows, you’ll learn to optimize hiring processes, reduce bias, and improve decision-making.

This course is designed for HR professionals, recruiters, talent acquisition specialists, and workforce strategists who want to leverage Generative AI for smarter, faster candidate screening. It’s also ideal for business analysts and operations managers seeking to optimize hiring workflows using AI-powered solutions. Whether you’re looking to automate resume parsing, enhance candidate assessments, or streamline your recruitment process, this course provides practical tools and strategies to elevate your talent acquisition game.

To succeed in this course, you should have a basic understanding of HR processes, particularly in recruitment and candidate screening. Familiarity with Generative AI tools like ChatGPT, Google Gemini, or similar platforms will be beneficial, but no programming or technical expertise is required—just a willingness to explore AI-driven hiring solutions and experiment with automation tools.

By the end of this course, you will have the skills and confidence to integrate Generative AI into your candidate screening processes, making recruitment smarter, faster, and more efficient. You’ll know how to craft AI-driven prompts, automate screening workflows, and mitigate bias, ensuring ethical and effective hiring decisions. Whether you’re looking to reduce manual workload, improve candidate evaluations, or enhance decision-making, you now have the tools to leverage AI responsibly and strategically in talent acquisition.

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Career center

Learners who complete GenAI for Talent Acquisition: Smarter Candidate Screening will develop knowledge and skills that may be useful to these careers:
Talent Acquisition Specialist
A Talent Acquisition Specialist is at the forefront of identifying and securing top talent for an organization. This critical role involves sourcing, screening, assessing, and engaging candidates to ensure the right fit for various positions. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course directly enhances the capabilities of a Talent Acquisition Specialist by providing practical tools and strategies for leveraging Generative AI. Learners will gain hands-on experience with custom GPTs and AI-driven workflows, enabling them to automate repetitive screening tasks, improve candidate evaluations, and significantly optimize the entire recruitment process. This course helps build a foundation in ethical AI use, crucial for mitigating bias and ensuring fair, effective hiring decisions. By mastering these AI applications, a Talent Acquisition Specialist can make recruitment smarter, faster, and more efficient, ultimately elevating their talent acquisition game.
Recruiter
A Recruiter plays a pivotal role in connecting talent with opportunity, responsible for attracting, evaluating, and hiring candidates to fill open positions within a company. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course is exceptionally relevant for a Recruiter aiming to modernize their approach and gain a competitive edge. This course offers practical skills in utilizing Generative AI tools such as Gemini Gems and Power Automate to streamline the often time-consuming candidate screening process. Learners will discover how to automate resume parsing, enhance candidate assessments, and craft AI-driven prompts that improve decision-making. Crucially, the course also emphasizes ensuring ethical hiring decisions and mitigating bias, which helps a Recruiter uphold fairness and build diverse teams. Taking this course empowers a Recruiter to leverage AI responsibly, making their recruitment efforts more strategic and impactful.
HR Technology Specialist
An HR Technology Specialist focuses on the selection, implementation, and management of human resources information systems and other HR software solutions. This role ensures that technology effectively supports HR processes and organizational goals. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course is an ideal learning opportunity for an HR Technology Specialist interested in integrating cutting-edge AI into HR systems. Learners will gain hands-on experience with specific GenAI-powered tools like custom GPTs, Gemini Gems, and Power Automate, which are crucial for transforming candidate screening and optimizing hiring workflows. This course provides practical knowledge on how to leverage AI to automate repetitive tasks, enhance candidate evaluations, and improve decision-making, all while focusing on ethical implementation. An HR Technology Specialist will find this course helps building a foundation for deploying AI solutions responsibly and effectively within the talent acquisition tech stack.
HR Operations Specialist
An HR Operations Specialist focuses on the efficient delivery of HR services, managing HR systems, processes, and policies to ensure smooth and compliant functioning. This role is dedicated to streamlining HR workflows and enhancing the employee experience from onboarding to offboarding. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course is an excellent fit for an HR Operations Specialist aiming to leverage advanced technology to improve HR efficiency. By gaining hands-on experience with GenAI-powered tools like custom GPTs, Gemini Gems, and Power Automate, learners will discover how to automate repetitive tasks in candidate screening. This course helps enhance evaluations and optimize hiring processes, directly contributing to smarter, faster HR operations and improved decision-making. The emphasis on mitigating bias and ensuring ethical hiring decisions also helps an HR Operations Specialist maintain compliance and fairness within critical HR functions.
Workforce Strategist
A Workforce Strategist is responsible for developing and implementing long-term plans to ensure an organization has the right talent with the right skills for future needs. This involves anticipating market changes, identifying talent gaps, and designing innovative talent acquisition and development approaches. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course directly equips a Workforce Strategist with advanced tools to build a more agile and effective talent pipeline. By understanding how Generative AI can automate candidate screening, enhance evaluations, and ensure ethical hiring, a Workforce Strategist can design robust recruitment processes that are efficient and future-proof. The course’s focus on optimizing hiring, reducing bias, and improving decision-making helps ensure that strategic workforce planning is based on high-quality talent acquisition, enabling better long-term organizational success.
Diversity Equity Inclusion Specialist
A Diversity Equity Inclusion Specialist develops and implements strategies to foster a workplace culture that is inclusive, equitable, and representative of diverse backgrounds. A critical aspect of this role involves ensuring fair and unbiased practices throughout the employee lifecycle, starting with recruitment. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course is exceptionally relevant for a Diversity Equity Inclusion Specialist because it explicitly focuses on mitigating bias and ensuring ethical hiring decisions. By learning how Generative AI tools can be used to automate screening while actively reducing inherent biases, a Diversity Equity Inclusion Specialist can advocate for and implement more equitable candidate assessment processes. Understanding how to craft AI-driven prompts and optimize workflows to promote fairness helps ensure recruitment practices lead to a more diverse and inclusive talent pool, directly supporting the core mission of this role.
Artificial Intelligence Adoption Specialist
An Artificial Intelligence Adoption Specialist guides organizations through the integration and effective use of AI technologies across various business functions. This role requires a strong understanding of AI capabilities, change management, and how to identify practical applications for AI. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course provides a concrete, hands-on example of successful AI adoption within a critical business area. Learners will discover how GenAI-powered tools, including custom GPTs and AI-driven workflows, can transform candidate screening. For an Artificial Intelligence Adoption Specialist, the course offers practical insights into automating repetitive tasks, enhancing evaluations, and ensuring ethical decision-making using AI. This specific application of optimizing hiring processes and mitigating bias provides a valuable blueprint for implementing AI strategically and responsibly across an enterprise.
Business Analyst
A Business Analyst serves as a bridge between business needs and technological solutions, identifying problems, analyzing requirements, and designing solutions to improve processes and systems. This role often involves extensive data analysis and collaboration across departments. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course is highly relevant for a Business Analyst who aims to optimize hiring workflows using AI-powered solutions. By exploring Generative AI tools and AI-driven workflows, a Business Analyst can learn to identify opportunities for automation, enhance data collection for candidate evaluations, and improve decision-making processes within talent acquisition. The course provides practical experience with custom GPTs and Gemini Gems, offering insights into how AI can reduce bias and streamline operations, leading to more efficient and ethical talent acquisition strategies for the business.
Human Resources Manager
A Human Resources Manager oversees various HR functions, including talent acquisition, employee relations, and compliance, ensuring that HR strategies align with organizational goals. This vital leadership role requires an understanding of modern tools and best practices to optimize HR operations. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course can be highly valuable for a Human Resources Manager looking to implement cutting-edge technology within their department. The course provides an overview of how Generative AI can transform candidate screening by automating tasks, enhancing evaluations, and ensuring ethical hiring. By understanding how to integrate custom GPTs and AI-driven workflows, a Human Resources Manager can guide their teams in optimizing recruitment processes, reducing operational bias, and improving overall decision-making. This knowledge helps facilitate smarter, faster, and more efficient recruitment, contributing to broader HR effectiveness and strategic talent management.
Process Improvement Consultant
A Process Improvement Consultant helps organizations analyze, redesign, and optimize their business processes to enhance efficiency, reduce costs, and improve quality. This role often involves applying methodologies like Lean or Six Sigma, alongside technological solutions. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course offers highly relevant skills for a Process Improvement Consultant, particularly in the realm of human resources and operations. Learners will discover how Generative AI tools like custom GPTs and Power Automate can transform candidate screening by automating repetitive tasks and streamlining workflows. This focus on optimizing hiring processes, reducing manual workload, and improving decision-making directly aligns with the core objectives of process improvement. Taking this course helps a Process Improvement Consultant understand how to leverage AI-powered solutions to achieve smarter, faster, and more efficient operational outcomes in talent acquisition and beyond.
Operations Manager
An Operations Manager oversees the daily operations and processes of a department or organization, focusing on efficiency, productivity, and cost-effectiveness. This role involves identifying bottlenecks, implementing improvements, and leveraging technology to streamline workflows. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course is ideal for an Operations Manager seeking to optimize hiring workflows using AI-powered solutions. While focused on talent acquisition, the principles of automation, process enhancement, and data-driven decision-making taught in this course are directly transferable. Learning about custom GPTs, Power Automate, and AI-driven workflows helps an Operations Manager identify opportunities to automate repetitive tasks not only in HR but potentially across other operational areas. This course helps build a foundation for leveraging AI responsibly to improve overall operational efficiency and decision-making within any department.
People Analytics Specialist
A People Analytics Specialist uses data-driven insights to inform and improve human resources decisions, covering areas from talent acquisition to employee retention and performance. This role involves collecting, analyzing, and interpreting HR data to identify trends and make strategic recommendations. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course may be useful for a People Analytics Specialist by demonstrating how Generative AI can enhance the quality and efficiency of data generated during the early stages of the talent pipeline. By understanding how GenAI tools automate screening and improve candidate evaluations, a People Analytics Specialist can better interpret the outcomes of AI-driven workflows and ensure the data used for analysis is robust and less prone to bias. The course's emphasis on mitigating bias and improving decision-making directly supports the goal of ethical and data-informed HR strategies. This role typically requires an advanced degree.
Data Ethicist
A Data Ethicist focuses on the ethical implications of data collection, usage, and algorithmic decision-making, ensuring that data practices are fair, transparent, and respectful of privacy. This role is crucial in an age where AI systems are increasingly used to make significant organizational decisions. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course is particularly relevant for a Data Ethicist because it explicitly addresses "ensuring ethical hiring decisions" and "mitigate bias" through AI. While practical in application, the course provides a hands-on understanding of how Generative AI tools and AI-driven workflows can both introduce and potentially reduce bias in candidate screening. Learning about the practical deployment of custom GPTs and Gemini Gems for talent acquisition helps a Data Ethicist understand the real-world challenges and solutions in applying AI ethically, informing their expertise in responsible AI governance. This role often requires an advanced degree.
Talent Management Consultant
A Talent Management Consultant advises organizations on strategies for attracting, developing, engaging, and retaining high-potential employees. This encompasses the entire employee lifecycle, from initial recruitment to career progression and leadership development. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course, while focused on a specific phase, may be useful for a Talent Management Consultant to understand how the initial acquisition of talent can be optimized through modern AI tools. By learning how Generative AI can automate screening, enhance evaluations, and improve decision-making in hiring, a consultant can better advise clients on building a robust and efficient talent pipeline. The course's emphasis on mitigating bias and ensuring ethical hiring also helps ensure that the talent brought into an organization aligns with broader diversity and inclusion goals, informing comprehensive talent strategies. This role typically requires an advanced degree.
HR Business Partner
An HR Business Partner works closely with business leaders to align HR strategies with organizational objectives, providing guidance on talent management, organizational development, and employee engagement. While not directly involved in day-to-day recruiting, understanding advanced talent acquisition techniques is crucial for this strategic role. The "GenAI for Talent Acquisition: Smarter Candidate Screening" course may be useful for an HR Business Partner by providing insights into how Generative AI can significantly optimize hiring processes. By learning about AI-powered solutions for candidate screening, an HR Business Partner can strategically advise on leveraging technology to improve talent pipelines, ensure fair hiring practices, and ultimately enhance workforce quality. The course’s emphasis on reducing bias and improving decision-making helps ensure that talent strategies are both efficient and equitable, supporting the overarching business goals they serve.

Reading list

We've selected 20 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 GenAI for Talent Acquisition: Smarter Candidate Screening.
Provides a deep investigative look into how AI is currently used in the hiring process, specifically focusing on candidate screening and automated interviews. It is an essential supplement for understanding the real-world implications and potential pitfalls of the tools discussed in the course. The author highlights the risks of bias in screening algorithms, making it a critical reference for the course's module on ethical hiring.
As a foundational text in the field, this book provides the necessary background knowledge on how automation and machine learning intersect with talent acquisition. It is commonly used as a textbook by industry professionals to understand the transition from traditional HR to AI-enabled processes. The second edition covers the evolution of these technologies, providing breadth to the course's technical modules.
Written by a leading expert in GenAI application, this book focuses on the 'co-pilot' mindset necessary for the course's hands-on exercises with GPTs. It offers high-level strategies for prompt engineering and workflow integration that are directly applicable to candidate screening. It is highly valuable as additional reading for those wanting to master the creative application of AI in professional settings.
Provides a necessary counter-balance to the course by focusing on the human elements of recruitment that AI cannot replace. It is helpful for providing prerequisite knowledge on candidate experience and engagement during the screening process. It emphasizes ethical and human-centric hiring, reinforcing the course's objectives on responsible AI usage.
Uses case studies to show how professionals across industries are successfully collaborating with AI. It is particularly helpful for understanding the 'human-in-the-loop' concept required for ethical candidate screening. Students will find this valuable for seeing how AI-driven decisions are validated by human recruiters in practice.
The author recognized authority in HR technology, and this book explores how digital tools like AI are reshaping talent management. It provides a strategic background that helps learners understand why GenAI is becoming essential for candidate screening. It useful reference for workforce strategists mentioned in the course's target audience.
Though not focused solely on GenAI, this is the definitive text on algorithmic bias, which core learning objective of the course. It is essential background reading for anyone learning to automate candidate screening. It helps students identify the 'black box' risks associated with AI-driven hiring decisions.
Provides a non-technical introduction to the mechanics of Large Language Models, which is vital for understanding how GPTs and Gemini work. It is helpful for providing prerequisite knowledge to those with no prior AI experience. It adds technical breadth to the course without requiring a programming background.
Focuses on the intersection of AI and talent intelligence, specifically how to use data to find the right candidates. It supplements the course's screening focus by expanding into candidate evaluation and market mapping. It is highly relevant for talent acquisition specialists looking to use AI strategically.
As screening moves from 'resume parsing' to 'skills assessment' via GenAI, this book provides the theoretical framework for that shift. It is valuable as additional reading for recruiters wanting to use AI to identify transferable skills rather than just job titles. It aligns with the course's goal of improving candidate evaluations.
Argues for AI designs that augment rather than replace humans, which key theme in ethical recruitment. It useful reference tool for students designing their own custom GPTs for screening. It provides a framework for ensuring that AI-driven hiring remains transparent and fair.
Provides a comprehensive overview of the AI vendor landscape in HR, which helps learners understand where tools like Gemini and GPT fit into the market. It is more valuable as a current reference for industry trends than as a technical manual. It adds breadth to the course by looking at the broader enterprise implications of AI.
Before automating screening, recruiters must understand the data that fuels these systems. provides the prerequisite knowledge on HR analytics necessary for effectively using GenAI tools. It is commonly used as a textbook for HR professionals transitioning into more technical or analytical roles.
For students who want to go beyond the basic automation mentioned in the course, this book offers advanced techniques for Power Automate. It useful reference tool for business analysts and operations managers. It specifically helps in building the 'AI-driven workflows' described in the syllabus.
Focuses on the importance of data architecture and ontology, which is relevant for the 'resume parsing' and 'candidate assessment' aspects of the course. It provides depth on how AI 'understands' candidate data. It valuable reference for those looking to scale AI solutions beyond a single screening tool.
Since the course outcome includes 'crafting AI-driven prompts,' this book direct practical supplement. It offers specific techniques for getting the best outputs from GenAI, which can be applied to screening resumes or writing candidate evaluations. It is highly accessible for the course's non-technical audience.
Provides the strategic framework into which AI screening tools must be integrated. It is helpful for providing background on modern recruitment methodologies. It ensures that students don't just learn the 'how' of AI tools, but also the 'why' within a broader recruiting strategy.
Is more technically challenging but provides an authoritative look at how to bake fairness into algorithms. It is valuable as additional reading for those interested in the 'mitigating bias' learning objective. It explores the trade-offs between accuracy and fairness in automated screening.
Looks at how entire organizations are being rebuilt around AI. It is useful for workforce strategists and managers who want to understand the long-term impact of the tools they are learning in the course. It provides breadth by looking at the competitive advantage gained through AI adoption.

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