Join our session on "Introduction To GPT And Future Of AI Innovation" to explore how Generative Pre-trained Transformers are reshaping the way we work and interact with technology. Learn the fundamentals of GPT, its real-world applications across industries, and how it is driving innovation, automation, and new opportunities. Whether you’re new to AI or seeking deeper insights, this session will help you understand the future potential of intelligent systems.
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 seasoned data science leader, currently Senior Manager of Data Science at CarMax, with past roles at Meta, The Walt Disney Studios, and Twentieth Century Fox. He brings broad expertise in applying AI and analytics to drive strategic insights across industries.In this session, Matthew will introduce the fundamentals of GPT—how it works, its capabilities, and its role in shaping the future of AI. Participants will gain clear insights into how GPT and similar innovations are transforming business, creativity, and everyday technology.
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.
