Join us for an engaging webinar where we break down how no-code platforms are making AI accessible to professionals across functions. This session explores what no-code AI really is, where it fits in today’s technology landscape, and how it’s being used to solve practical business problems—without programming. Through real examples and use cases, you’ll see how teams are building models, generating insights, and driving impact faster. Ideal for professionals looking to understand AI’s potential without getting into technical complexity.
Agenda for the session
- No-Code AI Fundamentals
- Getting Started
- Real-World Applications
- Live Q&A
About Speakers
Anjana Agrawal
Entrepreneur | IoT, Big Data, Business Analytics & IT/Operations Consultant
A business leader, strategist, and management consultant with 36+ years of experience across IBM, NIIT, and startup ventures. She has worked extensively with leading BFSI and telecom organizations, helping drive business transformation through data-driven strategies and actionable insights from complex datasets
AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program
The AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program Program has a curriculum carefully crafted by MIT faculty to provide you with the skills and knowledge to apply AI and data science techniques to help you make AI-driven decisions. This AI and data science program has been designed for the needs of professionals looking to grow their careers and enhance their AI and data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems.
