Most professionals assume AI is someone else's job -built by data scientists, understood by engineers, and implemented by IT. That assumption is changing fast.
In this session, we cut through the complexity and show you what No Code AI actually means in practice- what it can do for your function today, and what it genuinely cannot replace. More importantly, we shift the conversation from building models to making better decisions: because for most business professionals, that is where the real value of AI lives.
Aligned with MIT Professional Education's No Code and Agentic AI program, this webinar walks you through real-world use cases across marketing, operations, HR, finance, and product- each grounded in a business decision that needed to be made smarter and faster.
No coding background required. No technical jargon. Walk away with a clear, practical framework for where and how to start applying AI in your role-today.
Agenda for the session
- What No Code AI Is- and What It Isn't
- From Model Obsession to Smarter Business Decisions
- Real-World Use Cases Across Marketing, HR, Finance & Ops
- MIT No Code and Agentic AI Program + Live Q&A
About Speakers
Mrs. 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.
No Code and Agentic AI Program by MIT Professional Education
AI is no longer just a technical capability. It is a business skill- and the professionals who can design, deploy, and direct AI without depending on engineering teams are the ones driving impact today.
MIT Professional Education's No Code and Agentic AI program is a 14-week, online program designed for business professionals without a coding background. From machine learning and Generative AI to Prompt Engineering, RAG pipelines, and autonomous multi-agent systems- you will build real AI solutions using no-code tools like KNIME and n8n. Earn a Certificate of Completion and 10 CEUs from MIT Professional Education.
3 hands-on projects. 14+ case studies. 14+ live mentorship sessions. 20 hours of MIT faculty lectures.
No coding required. Prerequisites: basic statistics and mathematics only.
