Curious about how organizations are building AI solutions without writing a single line of code? Join us in an engaging session that explores how modern no-code platforms are making AI faster, simpler, and more accessible than ever.
In this webinar, we’ll break down the core concepts behind no-code AI and show how professionals across functions—from business and operations to marketing and strategy—are using intuitive tools to analyze data, automate decisions, and drive measurable impact. Through practical examples and real-world use cases, you’ll see how you can start applying AI to your work without a technical background. Perfect for anyone looking to harness AI confidently and efficiently.
Agenda for the session
- Foundations of No-Code AI
- Driving Decisions with AI
- No Code AI and Machine Learning Program by MIT Professional Education
- Live Q&A
About Speakers
Anjana Agrawal
Entrepreneur | IoT, Big Data, Business Analytics & IT/Operations Consultant
Anjana is an experienced strategist and data mining expert with over three decades of experience, and excels in advanced statistical modeling for Big Data using Python, R, and other cutting-edge tools. A top-ranked 'Kaggler' and Social Media evangelist, she specializes in NLP and text mining. With a track record of leading multimillion-dollar programs across industries, she continues to drive innovation and excellence.
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.
