Machine Learning UX Lessons

Learn the numerous applications of AI in content production

Discover the shortcomings of AI in user research and how to avoid them

Discover how to write impeccable prompts that guide AI tools to realize your vision

Enhance user testing with AI tools to gain deeper insights and improve user experience.

Learn how to smoothly integrate AI tools into your design workflow

Explore the importance of providing a graceful exit for users who decide to cancel their accounts or stop using your product or service

Get a grasp of the general guidelines to make your UX copy accessible to all

Explore the basic actions you can perform on layers within Figma.

Explore how you can manipulate images in Figma to integrate them seamlessly into your interfaces.

Understand what makes gamification effective and how to leverage it to create positive user behavior

Discover the fundamental concepts that distinguish AI-powered user experiences from traditional interfaces.

Transform vague AI requests into precise instructions by understanding clarity, context, and validation principles.

Identify where AI can solve your specific product challenges and build your personalized toolkit.

Apply human-centered principles to design fair, transparent, and user-controlled AI experiences.

Explore AI's core strengths and limitations to design more realistic and effective AI-powered experiences.

Explore the learning theories behind gamification and discover how to apply them to create engaging user experiences

Understand what drives users to engage and how to harness those motivations effectively

Transform time-consuming design and research tasks into efficient AI-assisted processes that amplify human creativity.

Identify where AI truly adds value and choose between augmentation and automation to maximize user benefits.

Learn to predict and prevent customer churn using machine learning and data analytics.

Understand how users conceptualize AI systems and why these mental models drive adoption and trust.

Master the art of creating effective guardrails and controls for AI-generated content.

Design AI controls that empower users to personalize experiences while maintaining usability and simplicity.

Master the art of building interconnected AI workflows that handle complex, multi-step challenges with conditional logic and consistent context.

Implement safety mechanisms that protect users and build confidence when interacting with AI systems.

Master design strategies for effective AI conversations across chat, voice, and visual modalities.

Craft tailored user experiences that keep customers engaged and loyal.

Implement measurement frameworks, governance processes, and compliance guidelines for responsible AI experiences.

Master the principles of matching user expectations with system behavior while maintaining a sense of user agency and control.

Navigate the ethical challenges of AI to create fair, private, and responsible user experiences.

Navigate the ethical complexities of AI integration while building frameworks that balance innovation with responsibility and human oversight.

Master the art of turning data analysis requests into clear AI prompts that deliver statistical insights, visualizations, and actionable recommendations.

Identify real user problems where AI capabilities provide meaningful solutions beyond traditional approaches.

Transform time-consuming writing tasks into efficient AI-assisted workflows that preserve your unique professional voice.

Build trust and continuous improvement through transparent AI systems and effective feedback mechanisms.

Master the essential building blocks that transform basic AI interactions into powerful, precise results.

Learn how to create seamless, user-focused onboarding experiences that drive engagement and reduce drop-offs.

Determine when AI should take over tasks completely versus when it should enhance human capabilities.

Define metrics that balance technical performance with real user value and long-term impact.

Master techniques for explaining AI decisions in ways that build understanding and enable informed user choices.

Master the art of helping users understand how AI works and what to expect from intelligent systems.

Recognize different types of AI errors and their impact on user experience.

Design AI experiences that help users move forward productively when predictions fail.

Learn to guide AI systems through continuous improvement while maintaining user trust and system stability.

Master transparency techniques that help users develop appropriate trust in AI systems.

Learn to create feedback systems that improve AI performance while enhancing user experience.

Build appropriate user trust through transparency about AI capabilities and limitations.

Design AI systems that balance automation with meaningful user control and customization options.