Join us for an enlightening masterclass on "Using AI for NLP with No Code Tools," where we'll explore the revolutionary approach to harnessing the power of Artificial Intelligence for natural language processing without the need for complex coding. This session will introduce participants to user-friendly, no-code platforms that democratize AI, making it accessible for all skill levels. You'll learn how to leverage these tools to analyze text, understand sentiment, and even generate human-like text, all with simple drag-and-drop interfaces. Whether you're a business professional, researcher, or enthusiast, this masterclass will equip you with the knowledge to tap into the potential of AI for NLP projects efficiently and effectively.
Agenda for the session
- Basics of AI and its applications
- What is No-Code AI?
- MIT PE's No Code AI & Machine Learning Program
- Live Q&A
About Speakers
Frederic Premji
Principal AI/ML Engineer, QSYNC
A seasoned Machine Learning consultant and leader, Frederic blends technical expertise, strategic thinking, and a passion for innovation to transform raw data into actionable insights. With a career portfolio that spans across cybersecurity, healthcare, finance, and many more industries, his specialty lies in designing and implementing AI-driven solutions that bring measurable improvements to business performance.
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.
