Practical AI for Professionals

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Practical AI for Professionals

位教师：Prashant Mittal

包含在中

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4个模块

深入了解一个主题并学习基础知识。

初级等级

无需具备相关经验

9 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

初级等级

无需具备相关经验

9 小时完成

灵活的计划

自行安排学习进度

您将获得的技能

要了解的详细信息

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作业

15 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

Explore key ideas in Artificial Intelligence (AI) while delving into trending developments in the field. Examines AI tools and frameworks to enable collaboration effectively and efficiently across technical and non-technical stakeholders. Analyze topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact. Equips students with the knowledge and skills necessary to confidently navigate the ever-evolving landscape of artificial intelligence

This module provides a definition of artificial intelligence and puts the advancements into a historical perspective. You will learn how AI mimics human senses to perform tasks that allow advanced technologies such as self-driving cars.

涵盖的内容

1个视频8篇阅读材料5个作业1个讨论话题

1个视频总计4分钟

Overview 4分钟

8篇阅读材料总计111分钟

Course Overview 1分钟
Syllabus - Practical AI for Professionals 10分钟
Academic Integrity 1分钟
What is Artificial Intelligence? 35分钟
History of AI 15分钟
AI and Human Senses 4分钟
Understanding AI Technologies 40分钟
Generative AI Analysis Project 5分钟

5个作业总计24分钟

CYK: What is Artificial Intelligence 2分钟
CYK: History of AI 2分钟
CYK: AI and Human Senses 3分钟
CYK: Understanding AI Technologies 7分钟
Introduction to AI: Quiz 10分钟

1个讨论话题总计10分钟

Meet Your Fellow Learners 10分钟

Welcome to the "AI Tools and Business Strategies", where we'll explore the essential tools and platforms that power AI development and deployment. We will also look at how AI is impacting businesses and business strategy.

涵盖的内容

5篇阅读材料1个作业

In this module we explore the crucial stages of handling and utilizing data effectively within AI projects. We start by exploring differences between structured and unstructured data. Then we will discuss understanding the opportunities to integrate AI to meet business needs. Finally, we'll take a look at how different industries are already doing this.

涵盖的内容

1个视频7篇阅读材料6个作业

1个视频总计3分钟

Data Types 3分钟

7篇阅读材料总计85分钟

Introduction 1分钟
Structured vs. Unstructured Data 3分钟
Data Preparation 30分钟
Introduction 1分钟
Identifying the Problem to Solve 8分钟
Mapping a Solution 12分钟
Industry-Specific AI Applications 30分钟

6个作业总计25分钟

CYK: Data Types 3分钟
Data Preparation 3分钟
CYK: Identifying the Problem to Solve 3分钟
CYK: Mapping a Solution 2分钟
CYK: AI Applications 4分钟
Module 3 Quiz 10分钟

In this module we will discuss discussing utilising visual tools and descriptive statistics to extract insights into the data. This will help us to define and select features critical for predictive modeling.

涵盖的内容

4篇阅读材料3个作业1次同伴评审

位教师

Prashant Mittal

Northeastern University

1 门课程 826 名学生

提供方

Northeastern University

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