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
- Understanding No-Code AI Fundamentals
- Real-World Applications and Impact
- 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
A seasoned professional with 30+ years of expertise in data science, strategy, and business transformation. Skilled in advanced statistical modeling, machine learning, NLP, and big data analytics. Recognised kaggle competition expert with top global rankings. Combines deep expertise as a management consultant, technical architect, and quality leader (ISO, CMMi, Six Sigma) with a strong track record in digital transformation, cloud, SOA, and social media analytics.
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.
