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Unclaimed ProfileAs artificial intelligence continues to reshape the global job market, technical skills alone are no longer enough to guarantee career longevity. The 'Intro to AI Emotional Intelligence: A Future-Proof Career' course, expertly designed by Perry Hessenauer, bridges the critical gap between human empathy and machine learning. This comprehensive program is specifically tailored for non-technical professionals, creators, and builders who want to enter the rapidly growing Emotion AI sector. Throughout the curriculum, learners will explore Daniel Goleman’s emotional intelligence framework and learn how to apply these core human skills to artificial intelligence interactions. Students will dive deep into hands-on exercises, utilizing tools like Label Studio to accurately label emotional datasets and Dialogflow to design empathetic, responsive chatbot conversations. Beyond technical applications, the course places a strong emphasis on the ethical dimension of artificial intelligence, examining cultural and gender biases, mitigation strategies, and privacy concerns in automated emotion recognition. By analyzing real-world failure cases and working through practical scenario quizzes, participants will discover how to collaborate with tech teams to refine machine empathy. Ultimately, this course empowers you to define unique non-technical roles, create high-value propositions for modern employers, and secure a meaningful, future-proof career in the evolving AI landscape.
About the creator
Perry Hessenauer
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Perry Hessenauer is an educator and professional development strategist dedicated to helping individuals navigate the rapidly evolving landscape of artificial intelligence. Recognizing that technical skills alone are no longer enough to guarantee career longevity, Perry focuses on the critical intersection of human emotional intelligence (EQ) and advanced technology. Through practical, scenario-based teaching, Perry guides professionals, managers, and career-switchers in cultivating high-value interpersonal capabilities—such as active empathy, adaptive communication, and ethical decision-making—that machines cannot easily replicate. His educational approach is rooted in real-world application, breaking down complex behavioral science and technological trends into actionable strategies. By demystifying how AI tools interact…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Define Goleman’s EI framework to apply 5 key skills in human-AI interactions
- Identify 3 ethical risks in AI emotion recognition via scenarios.
- Describe AI basics to understand its role in emotional applications
- Analyze 3 AI emotion processing limits via case studies in module.
- Evaluate 1 cultural/gender bias in AI with a mitigation playbook.
- Examine 2 AI chatbot failure cases to enhance emotional responses.
- Apply Label Studio to label emotional dataset with 80% accuracy.
- Create 3 empathetic chatbot scripts for emotions in assignment.
- Explain basic steps to build an emotion-aware chatbot with Dialogflow
- Create 1 EI solution for healthcare, customer service, or education.
- Identify 2 metrics to measure EI success in industry scenario quiz.
- Apply tech team collaboration to refine AI empathy in role-play task.
- Identify 3 non-technical EI-AI roles and skills in module activity.
- Create a value proposition for AI job, aligning with employer needs.
- Analyze EI-AI job opportunities using LinkedIn in module exercise.
Best For
- Non-technical professionals aiming to pivot into the rapidly growing Emotion AI sector
- Creative professionals and chatbot designers looking to add human empathy to automated workflows
- Corporate communicators and customer experience managers interested in the ethics of machine interaction
- Job seekers wanting to define unique roles at the intersection of psychology and artificial intelligence
Not For
- Experienced data scientists or AI engineers looking for advanced programming or machine learning architecture tutorials
- Learners seeking a deep-dive course on hard-coding neural networks or complex back-end development
- Those uninterested in the ethical or psychological implications of integrating human emotion into technology
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