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
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Oktober 2024
15 Aufgaben
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In diesem Kurs gibt es 4 Module
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.
Das ist alles enthalten
1 Video8 Lektüren5 Aufgaben1 Diskussionsthema
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.
Das ist alles enthalten
5 Lektüren1 Aufgabe
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.
Das ist alles enthalten
1 Video7 Lektüren6 Aufgaben
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.
Das ist alles enthalten
4 Lektüren3 Aufgaben1 peer review
Dozent
Empfohlen, wenn Sie sich für Machine Learning interessieren
Google Cloud
University of California, Davis
Scrimba
Johns Hopkins University
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