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
Practical AI for Professionals
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
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October 2024
Assessments
15 assignments
Taught in English
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There are 4 modules in this course
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.
What's included
1 video8 readings5 assignments1 discussion prompt
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.
What's included
5 readings1 assignment
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.
What's included
1 video7 readings6 assignments
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.
What's included
4 readings3 assignments1 peer review
Instructor
Offered by
Recommended if you're interested in Machine Learning
Google Cloud
University of California, Davis
Scrimba
Johns Hopkins University
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