4 godzin(y) temu -
[center]![[Obrazek: 8e0a7a41f3660eaf92aeba53e15987d2.jpg]](https://i126.fastpic.org/big/2025/1205/d2/8e0a7a41f3660eaf92aeba53e15987d2.jpg)
Design Ai Products
Published 12/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 30m | Size: 967 MB [/center]
Master modern AI product design with real workflows, ethical principles, and practical tools.
What you'll learn
How AI systems behave in real-world conditions and why unpredictability is a core design constraint, not a flaw.
How to map user intent, system states, and model behaviors using behavioral diagrams and trust curves.
How to prototype adaptive, generative, and variable outputs in a way that accurately reflects real AI behavior.
How to run AI-in-the-loop usability tests to observe trust signals, confusion patterns, confidence levels, and retry behavior.
How to evaluate and guide AI responses with UX-driven guardrails, constraints, and clarity requirements.
How to collaborate effectively with engineers around model limitations, confidence scores, system rules, and safe outputs.
How to design for overtrust, hallucinations, ambiguity, and long-term model drift.
How to build AI interfaces that feel transparent, predictable enough, and genuinely helpful for users.
Requirements
A foundational understanding of UX or product design.
Basic familiarity with prototyping tools (Figma is recommended, but not mandatory).
Curiosity about generative AI - you don't need a technical background or coding knowledge.
Description
This course contains the use of artificial intelligence.Designing AI products is no longer about placing a chatbot on a screen or styling a fancy generative feature. It's about understanding how intelligent systems actually behave - the unpredictability, the ambiguity, the confidence swings, and the strange-but-useful suggestions that make AI feel both powerful and unstable. This course teaches you how to design for that reality.You'll learn how to map and prototype AI behavior, create workflows that respond to uncertainty, and design transparent, trustworthy interactions for real users. Instead of focusing on generic UX processes, we go deep into the design challenges that make AI products fundamentally different: handling variable outputs, integrating behavioral states, interpreting confidence levels, guiding users through confusion, and shaping trust over time.Throughout the course, you'll explore practical methods like: AI-in-the-loop prototyping, behavioral mapping, trust curve analysis, adaptive UI design, and model-aware usability testing. These approaches help you build interfaces that feel intelligent, safe, and human-centered - even when the system behind them is complex or unpredictable.Whether you're designing assistants, automation tools, creative generators, analysis dashboards, or decision-support features, this course gives you the mental models and tools to collaborate confidently with engineers, work effectively with model constraints, and build AI experiences that scale responsibly.If you're ready to move beyond surface-level AI UI trends and learn how to design real AI products - the kind used in workplaces, workflows, and everyday life - this course will give you clarity, structure, and skills you can apply immediately. Enroll to level up your design practice for the era of intelligent systems.
Who this course is for
Product designers who want to confidently design AI features.
UX/UI designers transitioning into AI work or modernizing their skill set.
Design leads who need frameworks for responsible AI decision-making.
Product managers working with AI-driven roadmaps.
Anyone curious about designing interfaces for unpredictable, dynamic systems.
Design Ai Products
Published 12/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 30m | Size: 967 MB [/center]
Master modern AI product design with real workflows, ethical principles, and practical tools.
What you'll learn
How AI systems behave in real-world conditions and why unpredictability is a core design constraint, not a flaw.
How to map user intent, system states, and model behaviors using behavioral diagrams and trust curves.
How to prototype adaptive, generative, and variable outputs in a way that accurately reflects real AI behavior.
How to run AI-in-the-loop usability tests to observe trust signals, confusion patterns, confidence levels, and retry behavior.
How to evaluate and guide AI responses with UX-driven guardrails, constraints, and clarity requirements.
How to collaborate effectively with engineers around model limitations, confidence scores, system rules, and safe outputs.
How to design for overtrust, hallucinations, ambiguity, and long-term model drift.
How to build AI interfaces that feel transparent, predictable enough, and genuinely helpful for users.
Requirements
A foundational understanding of UX or product design.
Basic familiarity with prototyping tools (Figma is recommended, but not mandatory).
Curiosity about generative AI - you don't need a technical background or coding knowledge.
Description
This course contains the use of artificial intelligence.Designing AI products is no longer about placing a chatbot on a screen or styling a fancy generative feature. It's about understanding how intelligent systems actually behave - the unpredictability, the ambiguity, the confidence swings, and the strange-but-useful suggestions that make AI feel both powerful and unstable. This course teaches you how to design for that reality.You'll learn how to map and prototype AI behavior, create workflows that respond to uncertainty, and design transparent, trustworthy interactions for real users. Instead of focusing on generic UX processes, we go deep into the design challenges that make AI products fundamentally different: handling variable outputs, integrating behavioral states, interpreting confidence levels, guiding users through confusion, and shaping trust over time.Throughout the course, you'll explore practical methods like: AI-in-the-loop prototyping, behavioral mapping, trust curve analysis, adaptive UI design, and model-aware usability testing. These approaches help you build interfaces that feel intelligent, safe, and human-centered - even when the system behind them is complex or unpredictable.Whether you're designing assistants, automation tools, creative generators, analysis dashboards, or decision-support features, this course gives you the mental models and tools to collaborate confidently with engineers, work effectively with model constraints, and build AI experiences that scale responsibly.If you're ready to move beyond surface-level AI UI trends and learn how to design real AI products - the kind used in workplaces, workflows, and everyday life - this course will give you clarity, structure, and skills you can apply immediately. Enroll to level up your design practice for the era of intelligent systems.
Who this course is for
Product designers who want to confidently design AI features.
UX/UI designers transitioning into AI work or modernizing their skill set.
Design leads who need frameworks for responsible AI decision-making.
Product managers working with AI-driven roadmaps.
Anyone curious about designing interfaces for unpredictable, dynamic systems.
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