Artificial Intelligence (AI) & Career Planning

ARTIFICIAL INTELLIGENCE (AI) 

AI is rapidly transforming the world around us, and professional development is no exception. This powerful technology holds immense potential, empowering career seekers like you to explore professional pathways, refine application materials, prepare for interviews, and make connections with unprecedented efficiency. AI can help you enhance your professional development and navigate the evolving landscape of recruiting. Learn how Villanova is supporting its community as AI evolves on campus and beyond.

UNDERSTANDING ETHICAL USE 

Leveraging AI effectively requires an informed perspective and commitment to ethical use. Safeguard personal and sensitive information and critically evaluate AI outputs for inaccuracies or biases. Evaluate where it may be inappropriate to bring AI into your career process (such as during a virtual interview.  Consider the broader societal and environmental impacts of AI, including its carbon footprint and potential to deepen existing inequalities. By understanding AI’s limitations, you can integrate this technology to enhance your career while upholding responsible practices. 

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FEATURED ARTICLES

Beat the 2026 bots: How to get your resume past modern AI filters | From Dorms to Desks Podcast | ep93

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AI TOOLS & RESOURCES

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CAREER VIDEOS

TensorFlow: Working with NLP

Taught by Jonathan Fernandes
Suggested Prerequisites TensorFlow: Neural Networks and Working with Tabular Data TensorFlow: Working with Images Understand the basics of Python Some…

Analytics Engineering for AI: From Data to Natural-Language Questions

Taught by José Siles
As organizations adopt AI-driven analytics, the quality and structure of analytical data become critical to delivering reliable, business-ready insights. This…

NumPy Essential Training: 1 Foundations of NumPy

Taught by Terezija Semenski
NumPy provides Python with an elegant syntax and powerful array processing library. NumPy is the most useful and most powerful…

Machine Learning with Data Reduction in Excel, R, and Power BI

Taught by Helen Wall
Analytics is a big part of how the world does data science. But did you know that you can use…

Becoming an AI-First Product Leader

Taught by Tomer Cohen
Artificial intelligence is changing the world, powering everything from advertising to education. Becoming a successful product leader is anchored to…

Applied AI for Human Resources

Taught by Kumaran Ponnambalam
A global economy and remote workforce have made it difficult for HR departments to track employee satisfaction and motivation. However,…

Artificial Intelligence for Marketing

Taught by Madecraft
Artificial intelligence (AI) is changing the way that marketers are interacting with their customers. But how can you as a…

Generative AI: Working with Large Language Models

Taught by Jonathan Fernandes
Transformers have quickly become the go-to architecture for natural language processing (NLP). As a result, knowing how to use them…

Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

Taught by Keith McCormick
Every year, it seems, there is a new hot trend in data science. One of the hottest predictive analytics algorithms…

Large Language Models: Text Classification for NLP using BERT

Taught by Jonathan Fernandes
Transformers are taking the natural language processing (NLP) world by storm. In this course, instructor Jonathan Fernandes teaches you all…

Machine Learning and AI Foundations: Decision Trees with KNIME

Taught by Keith McCormick
Suggested prerequisites General familiarity with supervised machine learning Understanding of terms such as target variable, input variable, algorithm, and train/test…

AI and Digital Marketing Trends

Taught by Martin Waxman
Stay up-to-date on trends in digital marketing. In this course, marketing and social media expert Martin Waxman explores the tools…

Machine Learning with Python: Foundations

Taught by Frederick Nwanganga
You’ve probably heard about machine learning before, but have you ever wondered what that term really means? How does a…

Introduction to Machine Learning with KNIME

Taught by Keith McCormick
KNIME is an open-source workbench-style tool for predictive analytics and machine learning. It is highly compatible with numerous data science…

Executive Guide to Predictive Modeling Strategy at Scale

Taught by Keith McCormick
Building world-class predictive analytics solutions requires recognizing that the challenges of scale and sample size fluctuate greatly at different stages…

Deploying Scalable Machine Learning for Data Science

Taught by Dan Sullivan
Machine learning models often run in complex production environments that can adapt to the ebb and flow of big data.…

Cognitive Technologies: The Real Opportunities for Business

Taught by Deloitte Insights
Cognitive technologies such as artificial intelligence and robotics are changing how businesses operate and the nature of work as we…

Machine Learning and AI Foundations: Classification Modeling

Taught by Keith McCormick
One type of problem absolutely dominates machine learning and artificial intelligence: classification. Binary classification, the predominant method, sorts data into…

Artificial Intelligence Foundations: Thinking Machines

Taught by Doug Rose
Computer-enhanced artificial intelligence (AI) has been around since the 1950s, but recent hardware innovations have reinvigorated the field. New sensors…

Machine Learning and AI Foundations: Decision Trees with SPSS

Taught by Keith McCormick
Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine…
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CAREER READINESS RESOURCES



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