Join our session on "Using AI for NLP with No-Code Tools" to discover how natural language processing (NLP) is becoming more accessible than ever. Learn how AI is being used to analyze, interpret, and generate human language—and how you can leverage powerful NLP capabilities without writing a single line of code. We’ll walk you through real-world use cases, tools, and workflows that empower non-technical users to build smart, language-driven solutions. Whether you're exploring AI for the first time or looking to expand your skills, this session will show you how to unlock the power of NLP with ease.

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Agenda for the session

  • Understand the basics of AI and its applications across professions
  • Learn what No-Code AI is and how it works
  • Explore an NLP use case solved using No-Code tools
  • Live Q&A

About Speakers

Mr. Matthew Nickens

Senior Manager, Data Science at CarMax

Matthew Nickens is a data science educator and practitioner with extensive expertise in no‑code AI and NLP tools. He brings practical experience using Python, machine learning, and modern automation platforms to streamline language processing workflows. In this session—"Using AI for NLP with No Code Tools"—Matthew will guide you through real-world use cases, demonstrating how to leverage intuitive, no‑code solutions to extract insight from text data—making NLP accessible, efficient, and impactful.

No Code AI and Machine Learning Program by MIT Professional Education

No-Code AI is the revolutionary technology that empowers anyone, regardless of technical expertise, to build advanced AI-driven solutions effortlessly, democratizing innovation and accelerating digital transformation. Due to the advent of this technology, professionals skilled in the no-code approach are highly valuable to organizations across industries. In order to help you unlock the power of AI without coding, MIT Professional Education offers the No Code AI and Machine Learning: Building Data Science Solutions Program.

In this 12-week program, you will be able to decode the AI landscape by learning the theory and practical applications of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, computer vision, and more. With the no-code approach, you will learn to leverage the power of AI and Data Science without having to write a line of code.

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