NTLC recognizes the growing importance of AI and offers workshops to equip faculty with knowledge to integrate AI into their teaching. This creates opportunities for students to learn about AI through coursework.
What is AI:
AI, or artificial intelligence, is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. In simpler terms, it's about making machines capable of performing tasks that typically require human intelligence.
Here are some key points about AI:
AI Impact on Education:
AI is having a big impact on education by personalizing learning, supporting teachers, and making assessments more effective. Here are some of the ways AI is transforming education:
AI is a powerful tool that can be used to improve the learning experience for both students and teachers. However, it's important to remember that AI does not replace teachers. The human touch is still essential in education.
AI's impact on Students:
AI's impact on students is multifaceted, offering exciting possibilities and potential drawbacks. Here's a breakdown of the key areas:
Positives:
Negatives:
AI has the potential to revolutionize education by making it more personalized, engaging, and effective. However, it's important to use AI responsibly and ethically to ensure a positive impact on all students.
Here are some potential workshops students might encounter:
Machine learning is the most exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with little to no human intervention. In this course, you'll navigate the machine learning lifecycle by getting hands-on practice training your first machine learning model. Join instructor Kesha Williams as she explores widely adopted machine learning methods: supervised, unsupervised, and reinforcement. There's a focus on sourcing and preparing data and selecting the best learning algorithm for your project. After training a model, learn to evaluate model performance using standard metrics. Finally, Kesha shows you how to streamline the process by building a machine learning pipeline. If you’re looking to understand the machine learning lifecycle and the steps required to build systems, check out this course.
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Computer scientists are just a small slice of people working in artificial intelligence. Most of the people working in AI are project managers, product managers, directors, and executives. People just like you. This course helps you grasp key concepts in artificial intelligence. You’ll see how AI can enhance your products, life, and career. AI has been around for over half a century. Even with its huge strides, the core ideas in machine learning and neural networks are still accessible.
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Find out how to unleash the power of AI for cybersecurity. Cloud and application security leader Sam Sehgal guides you through using AI, with the needed preparation and guardrails, to solve complex cybersecurity problems. Sam defines artificial intelligence and goes over how to apply AI to cybersecurity. He reviews the disciplines of artificial intelligence, as well as the role of machine learning, and he shows you how to differentiate between discriminative AI and generative AI. Sam details the importance of confidentiality, integrity, and availability in any cybersecurity goal and goes over several cybersecurity gaps and goals. Then he dives into actually solving cybersecurity problems with AI and the myriad ways you can apply machine learning to security.
