Product Design In Ai | Artificial Intelligence And Users

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