Join our session on "Introduction to GPT and the Future of AI Innovation" to explore how Generative AI is transforming the way we interact with technology. We’ll break down the fundamentals of GPT (Generative Pre-trained Transformer), its real-world applications, and its growing influence across industries. Discover how this breakthrough in AI is shaping innovation, automating tasks, and creating new opportunities. Whether you're new to AI or looking to deepen your understanding, this session offers key insights into the future of intelligent systems.

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Agenda for the session

  • Understand the core concepts and real-world applications of GPT
  • Discover future trends and possibilities in AI innovation
  • No Code AI and Machine Learning Program by MIT Professional Education
  • Live Q&A

About Speakers

Mr. Matthew Nickens

Senior Manager, Data Science at CarMax

Matthew Nickens is a skilled data science educator and AI enthusiast dedicated to unlocking the potential of GPT and the next wave of AI innovation. With hands-on experience leveraging Python and machine learning to solve real-world problems, he brings technical depth and clarity to emerging AI technologies. In this session, Matthew will introduce what GPT is, how it works, and explore its transformative potential illuminating how businesses and professionals can harness this powerful tool to pioneer the future of intelligent systems.

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.