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How to Get Into AI · LearnSpace
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How to Get Into AI

Курс от University of Leeds
Начальный≈ 6.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

AI forms the basis for all computer learning and is the future of all complex decision-making. As such it is becoming increasingly prevalent in daily life. As a result, the outlook is bright for artificial intelligence jobs. In this course, you will learn how to navigate the dynamic field of artificial intelligence (AI), exploring its applications and the evolving landscape of AI-related careers. You'll learn to understand various AI techniques, from artificial intelligence engineering to data science, gaining insights into their applications and ethical considerations. Get ready to acquire the skills that will propel your career in this rapidly evolving field! Click Start, a nationwide training programme designed to help young people develop digital skills, offers this course. Click Start offers scholarships giving free access to young people in the UK. Follow the link in the Click Start icon on the top, to check if you are eligible for free access!

Навыки, которые вы освоите

digital literacyData EthicsResponsible AIArtificial Intelligence and Machine Learning (AI/ML)AI literacyMachine LearningArtificial Intelligence

Программа курса

2 модулей · 43 учебных материалов

01Week 1. What is artificial intelligence, and how can it be used responsibly?21 материалов

Welcome to How to Get Into AI

Welcome to the courseВидеоWelcome to 'How to Get Into AI'ЧтениеIntroduce yourselfОбсуждение

Lesson 1: What is AI, and how is it used?

Lesson 1: Overview

Учитесь у экспертов

Amy Brereton

Mx

Click Start

Преподаватель курса

Sam Wilson

Dr

How to Get Into AI
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Обучение на Coursera

≈ 6.8 ч

2 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Венгерский, Польский

Часть программы вашего университета
Чтение
A brief history of AIЧтение
Your turn: Try a large language model (LLM) toolЧтение
Writing good promptsЧтение
Your turn: What confuses large language models?Чтение
Confusing the LLM: Share your resultsОбсуждение
Checking your understanding: What is AI and how is it used?Задание
Lesson 1: Summary and next stepsЧтение

Lesson 2. The ethics of AI

Lesson 2: OverviewЧтениеArtificial Intelligence and employmentЧтениеYour turn: How could AI be used at work?ЧтениеDiscussion: How could you use AI at work?ОбсуждениеArtificial intelligence and biasЧтениеArtificial Intelligence and the environmentЧтениеYour turn: Generating song lyricsЧтениеAI, intellectual property and regulationЧтениеChecking your understanding: The ethics of AIЗаданиеLesson 2: Summary and next stepsЧтение
02Week 2. Understanding artificial intelligence in the workplace22 материалов

Lesson 3. Working with artificial intelligence

Lesson 3: OverviewЧтениеAssistive technology 1: Predictive AIЧтениеAssistive technology 2: Generative AIЧтениеAssistive technology 3: Conversational AIЧтениеListen: Three workers tell their storiesЧтениеWhere else is artificial intelligence used as an assistive technology?ОбсуждениеChecking your understanding: Working with AIЗаданиеOptional: Create a LinkedIn profileОбсуждениеLesson 3: Summary and next stepsЧтение

Lesson 4. Skills needed for a career with artificial Intelligence

Lesson 4: OverviewЧтениеTransferable skills: Part 1ЧтениеTransferable skills: Part 2ЧтениеYour turn: Transferable skillsЧтениеDemonstrating skills for a career within artificial intelligenceЧтениеAdditional skills needed to develop new artificial intelligenceЧтение

Course summary and assessment

Course summaryЧтениеTest your learning and gain your certificateЗаданиеYour next stepsЧтение
Interview with an AI professional: Dr Ricardo AndersonВидео
Interview with an AI professional: María Constanza Molina Cortes FunesВидео
What kind of career are you interested in?Обсуждение
Lesson 4: Summary and next stepsЧтение