Product Design In AI - Artificial Intelligence And Users
Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.33 GB | Duration: 4h 48m
Get ahead and learn how to design AI systems using human-centered approach with this comprehensive course in AI design
What you'll learn
You will learn to apply AI principles in product design, understand differences between traditional & AI design and create user-centered AI systems.
You will learn to address ethical concerns, understand the basics of machine learning, and improve communication in AI product development teams.
You will learn to identify user needs, goals and feedback in AI design, to create truly beneficial and user-centered products.
You will learn to analyze and prevent bias, protect privacy, and enhance security in AI products to ensure responsible, trustworthy and fair systems.
You will learn to design and prototype AI systems, develop and test them with user feedback to improve the user experience.
You will learn to understand the business objectives and technical feasibility in AI product development to align your designs with company goals.
As a competitive learner in this course and a future AI designer, you should walk away with at least 3 AI projects for your design portfolio.
As a passionate product designer and lifetime learner, you should get lifetime access to full course materials dedicated to AI designing
Requirements
No programming experience is needed
Background in UX/UI is helpful
Description
Are you interested in learning how to incorporate artificial intelligence (AI) to your future designs and creating innovative products? It is not too late and in fact, you are early! If you are a product designer, or UX/UI designer, looking to enhance your skills in order to compete for the next job in the science and technology field, this course on Product Design in AI is the perfect option for you.With 100+ on-demand videos, 500+ downloadable slides and course materials,hands-on projects for your design portfolio,and a certificate to prove your expertise in AI Design,you will be ready to position yourself as an expert in the field of product design in AI.In this comprehensive course on AI design, you will learn not only how to prototype AI-powered products that meet the needs of your target users, but also the ethical and legal considerations involved in designing AI systems or products. You will also learn how to deal with common AI design issues such as bias in data and algorithms. *Note that this course is not about how to use AI to assist in your design process, but about how to design for AI-powered products and AI systems.By the end of this course, you will be well-equipped to turn your ideas into successful AI-powered products, and take your portfolio to another level with your newly gained knowledge and experience in product design in artificial intelligence.
Overview
Section 1: Course Introduction
Lecture 1 Who is this course for ?
Lecture 2 Course structure
Section 2: Intro to Product Design and AI
Lecture 3 What is artificial intelligence ?
Lecture 4 The role of product design in AI development
Lecture 5 Understanding the domain
Lecture 6 Discovering AI use case
Lecture 7 Types of AI use case
Lecture 8 Summary: Intro to Product Design and AI
Lecture 9 Glossary: Intro to Product Design and AI
Section 3: Foundations of AI Design
Lecture 10 Transitioning from traditional design to AI design
Lecture 11 Products that AI designers design
Lecture 12 The 10 responsibilities of an AI designer
Lecture 13 General flow of AI design
Lecture 14 Summary: Foundations of AI Design
Lecture 15 Glossary: Foundations of AI Design
Section 4: Choose Projects for Portfolio
Lecture 16 How to use my project generator
Lecture 17 Project Generator
Section 5: UX Refresher Course
Lecture 18 UX brief introduction
Lecture 19 Phase 1 - Discover
Lecture 20 Phase 2 - Research
Lecture 21 Phase 3 - Analyze
Lecture 22 Phase 4 - Design
Lecture 23 Phase 5 - Validate
Lecture 24 Ending Remark
Section 6: System Design - Part 1: Define AI Values
Lecture 25 Understanding user needs
Lecture 26 Intersection of user needs and AI
Lecture 27 Narrowing down the focus
Lecture 28 Automation vs augmentation
Lecture 29 Summary: System Design - Part 1: Determine AI Values
Lecture 30 Glossary: System Design - Part 1: Define AI Values
Section 7: System Design - Part 2: User POV with AI
Lecture 31 Creating a user journey
Lecture 32 Identifying the main problem of your AI-powered product
Lecture 33 Inputs and outputs of an AI system
Lecture 34 The business values of outputs
Lecture 35 Summary: System Design - Part 2: User POV with AI
Lecture 36 Glossary: System Design - Part 2: User POV with AI
Section 8: System Design - Part 3: Design for Error
Lecture 37 Design for error handling in AI systems
Lecture 38 Special types of errors in AI systems from user perspectives
Lecture 39 Error vs failure
Lecture 40 User-perceived errors
Lecture 41 Input errors
Lecture 42 Summary: System Design - Part 3: Design for Error
Lecture 43 Glossary: System Design - Part 3: Design for Error
Section 9: System Design - Part 4: Prototyping AI-Powered Products
Lecture 44 The purpose of prototyping
Lecture 45 Information architecture for an AI system
Lecture 46 User flow for user's steps
Lecture 47 Consider user interactions with AI
Lecture 48 Summary: System Design - Part 4: Prototyping AI-Powered Products
Lecture 49 Glossary: System Design - Part 4: Prototyping AI-Powered Products
Section 10: Advanced Topics in AI Prototypes: Voice and Gesture Systems
Lecture 50 Prototyping for voice systems - Introduction
Lecture 51 Prototyping for voice systems - Conversation flow
Lecture 52 Prototyping for voice systems - Voice Command Libraries
Lecture 53 Prototyping for voice systems - Example: Restaurant AI assistant
Lecture 54 Prototyping for gesture systems - Introduction
Lecture 55 Prototyping for gesture systems - Sensors
Lecture 56 Prototyping for gesture systems - Gesture recognition algorithms
Lecture 57 Glossary: Advanced Topics in AI Prototypes: Voice and Gesture Systems
Section 11: System Design - Part 5: Define the AI System
Lecture 58 What's next for product designers
Lecture 59 Design the reward function
Lecture 60 Precision and recall
Lecture 61 Evaluating the AI system with probability scores
Lecture 62 Summary: System Design - Part 5: Define the AI System
Lecture 63 Glossary: System Design - Part 5: Define the AI System
Section 12: Intro to Machine Learning for Designers
Lecture 64 Why ML basics are important for product designers
Lecture 65 Machine learning and AI
Lecture 66 Types of machine learning and their products
Lecture 67 Steps to design ML models
Lecture 68 Supervised learning
Lecture 69 Unsupervised learning
Lecture 70 Reinforcement learning
Lecture 71 Summary: Intro to Machine Learning for Designers
Lecture 72 Glossary: Intro to Machine Learning for Designers
Section 13: Data Design - Part 1: Overview
Lecture 73 The data preparation process
Lecture 74 Data design document
Lecture 75 Identifying data sources
Lecture 76 Data pre-processing
Lecture 77 Analyzing the data
Lecture 78 Summary: Data Design - Part 1: Overview
Lecture 79 Glossary: Data Design - Part 1: Overview
Section 14: Date Design - Part 2: User Needs and Data
Lecture 80 Transforming user needs to data needs
Lecture 81 Examples and labels
Lecture 82 Extraction and selection
Lecture 83 More on labels and their labelers
Lecture 84 Guidelines for labelers
Lecture 85 Biases in labelers and effects on end users
Lecture 86 Dealing with biases
Lecture 87 Summary: Data Design - Part 2: User Needs and Data
Lecture 88 Glossary: Date Design - Part 2: User Needs and Data
Section 15: Data Design - Part 3: Data Handling
Lecture 89 Splitting the data
Lecture 90 Overfitting
Lecture 91 Underfitting
Lecture 92 Data maintenance to keep your AI updated
Lecture 93 Data maintenance document
Lecture 94 Privacy and security in data collection
Lecture 95 Summary: Data Design - Part 3: Data Handling
Lecture 96 Glossary: Data Design - Part 3: Data Handling
Section 16: Onboarding First-Time Users of AI-Powered Products
Lecture 97 Introduction to onboarding
Lecture 98 Communicate value proposition
Lecture 99 Provide user-friendly interface
Lecture 100 Provide easy sign-up process
Lecture 101 Provide a tutorial
Lecture 102 Provide ongoing support
Lecture 103 Summary: Onboarding First-Time Users of AI-Powered Products
Lecture 104 Glossary: Onboarding First-Time Users of AI-Powered Products
Section 17: Designing Transparent and Explainable AI
Lecture 105 What is transparent and explainable AI
Lecture 106 Maintain trust when data sources are sensitive
Lecture 107 Explain not the technology
Lecture 108 Matching explanations to user actions
Lecture 109 How model confidence affects users
Lecture 110 Summary: Designing Transparent and Explainable AI
Lecture 111 Glossary: Designing Transparent and Explainable AI
Section 18: Evaluation Rounds for AI-Powered Products
Lecture 112 Initial evaluation round
Lecture 113 Alpha testing
Lecture 114 Beta testing
Lecture 115 Summary: Evaluation Rounds for AI-Powered Products
Lecture 116 Glossary: Evaluation Rounds for AI-Powered Products
Section 19: Neural Networks for AI Designers
Lecture 117 Understanding neural networks
Lecture 118 Convolutional neural networks (CNNs)
Lecture 119 Recurrent neural networks (RNNs)
Lecture 120 Pre-trained models and transfer learning
Lecture 121 Approaching product design with pre-trained models
Lecture 122 Summary: Advanced Topics for AI Designers
Lecture 123 Glossary: Advanced Topics for AI Designers
Section 20: Project Checklist
Beginner in AI designing,Product Designer,UX/UI Designer
Homepage
https://www.udemy.com/course/product-design-in-ai/Fikper
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