Design responsible, ethical AI systems with human values, inclusive design, usability, transparency, and trust
Description
Are you ready to build AI systems that serve people, not just processes? In this course, Human-Centered AI (HCAI), you will explore how to design, evaluate, and implement artificial intelligence technologies that align with human values, ethical principles, and societal impact.
This course takes you beyond algorithms and into the real world—where empathy, trust, and transparency matter as much as performance and efficiency. Through practical frameworks, case studies, and actionable tools, you’ll learn to make AI systems understandable, controllable, inclusive, and aligned with stakeholder goals.
You’ll gain hands-on insight into:
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The core principles of Human-Centered AI and responsible innovation
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How to integrate ethics, fairness, and usability into the AI lifecycle
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Approaches for stakeholder engagement and participatory design
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Bias detection, explainability, and human oversight in AI
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Building trust through transparency and inclusive interfaces
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Applying HCAI frameworks to real-world AI projects across domains
Whether you’re a UX designer, product manager, AI developer, policymaker, or simply curious about responsible AI, this course gives you the foundation and tools to align AI systems with human goals and values.
No prior programming or AI experience is required—only a commitment to creating technology that benefits humanity.
By the end of this course, you’ll be able to:
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Recognize common ethical risks in AI projects
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Evaluate AI systems using human-centered criteria
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Apply frameworks like HCAI, participatory design, and value-sensitive design
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Design AI experiences that build trust, usability, and fairness
Join now and help shape the future of AI—one that empowers people and strengthens human dignity.
Total Students | 1312 |
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Duration | 3 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 17 |
Number of quizzes | 0 |
Total Reviews | 3 |
Global Rating | 3.8333333 |
Instructor Name | Dr. Amar Massoud |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 3 hours
- Practical value: 6/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
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