Design and Apply Generative AI for HR Performance

EDUCBA via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

4 weeks, 10 hours a week

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Overview

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This Specialization equips HR leaders, people managers, and business professionals with the skills to design, evaluate, and deploy Generative AI solutions across performance management, personalized coaching, recruiting, and workforce operations. Learners explore how AI transforms traditional HR processes into continuous, insight-driven, and human-centered systems, while maintaining fairness, transparency, and ethical responsibility. Through practical frameworks, real-world use cases, and deployment strategies, learners gain the ability to apply Generative AI confidently to improve engagement, decision-making, and organizational outcomes in modern workplaces.

Syllabus

Course 1: Analyze and Design AI-Driven Performance Management Systems
Course 2: Apply Personalized AI Coaching with ChatGPT
Course 3: Apply Generative AI for Effective Recruiting & Hiring
Course 4: Apply Generative AI Integration and Deployment Strategies

Courses

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4 hours 34 minutes
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Learners will be able to analyze modern performance management challenges, apply Generative AI to employee evaluation and engagement, design intelligent performance metrics, and assess the business impact of AI-enabled performance systems. This course equips HR leaders, people managers, and business professionals with practical and strategic capabilities to transform performance management using Generative AI. Learners will explore how AI shifts performance management from static, retrospective reviews to continuous, insight-driven, and development-focused systems. Through structured modules, the course covers AI implementation strategies, employee engagement, emotional intelligence, goal setting, calibration, benchmarking, ROI evaluation, and scalable adoption across teams. What makes this course unique is its balanced, human-centered approach. Rather than treating AI as a replacement for managerial judgment, the course emphasizes responsible, explainable, and ethical AI that augments leadership decision-making. Learners gain exposure to real-world use cases, platform considerations, and future trends, enabling them to make informed, future-ready decisions. By the end of the course, learners will be prepared to design, evaluate, and lead AI-driven performance management initiatives that improve fairness, engagement, and organizational outcomes.
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4 hours 16 minutes
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Learners will analyze Generative AI deployment environments, evaluate platform and vendor options, and apply best practices to integrate, deploy, and manage GenAI systems at scale. By the end of this course, learners will be able to design deployment architectures, assess operational trade-offs, and implement responsible GenAI solutions across real-world use cases. This course equips learners with practical, job-ready skills for integrating Generative AI into production systems. Learners gain a structured understanding of the GenAI development landscape, deployment models, scalability considerations, and vendor evaluation strategies. Through real-world case studies, platform deep dives, and hands-on labs, learners move beyond theory to develop end-to-end deployment competence. What makes this course unique is its balanced focus on strategy, technology, and execution. Instead of treating GenAI deployment as a purely technical exercise, the course emphasizes decision-making, cost management, risk mitigation, and responsible deployment practices. Learners explore leading platforms such as managed foundation model services and inference-optimized frameworks while applying best practices through guided projects. This course is ideal for professionals seeking to operationalize Generative AI solutions reliably, efficiently, and responsibly in modern enterprise environments.
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4 hours 12 minutes
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By the end of this course, learners will be able to apply prompt engineering techniques, analyze ethical considerations, evaluate AI-driven coaching challenges, and design personalized coaching interactions using ChatGPT Generative AI. This course empowers learners to confidently use ChatGPT as a personalized coaching assistant for personal growth, life planning, and continuous improvement. Learners will explore how to configure ChatGPT efficiently, craft effective prompts, and leverage real-time feedback to produce meaningful, adaptive coaching conversations. The course also addresses responsible AI use by examining how ChatGPT handles sensitive topics, manages limitations, and supports ethical decision-making. What makes this course unique is its balanced approach—combining practical hands-on strategies with critical thinking around ethics, bias, and future AI coaching trends. Rather than treating AI as a replacement for human judgment, the course positions ChatGPT as a collaborative tool that enhances reflection, goal-setting, and informed decision-making. By completing this course, learners gain a future-ready skillset to responsibly apply generative AI in coaching contexts, improve self-development workflows, and stay ahead in the evolving landscape of AI-powered personalized learning.
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4 hours 2 minutes
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Learners will be able to explain the role of Generative AI in modern recruiting, apply AI-powered tools to optimize hiring workflows, analyze candidate data more effectively, and evaluate ethical, legal, and inclusive hiring practices supported by AI. This course equips HR professionals, recruiters, talent acquisition leaders, and business managers with practical knowledge to leverage Generative AI across the end-to-end recruiting and hiring lifecycle. Learners will gain hands-on insights into how AI can streamline sourcing, referrals, screening, assessments, and employer branding while maintaining human judgment and compliance. By completing this course, learners will be able to design smarter hiring pipelines, improve candidate experience, reduce bias through structured evaluations, and make data-driven hiring decisions with confidence. The course emphasizes real-world applications, responsible AI use, and collaboration between AI systems and human recruiters—ensuring technology enhances, rather than replaces, strategic decision-making. What makes this course unique is its balanced focus on both innovation and responsibility. It not only demonstrates how Generative AI improves efficiency and scalability but also addresses diversity, inclusion, transparency, and legal considerations critical to modern hiring. Learners finish the course ready to apply AI ethically and effectively in real recruitment scenarios.