Curious about the possibilities of AI without coding? Join our webinar, Introduction to No-Code AI: Concepts and Applications, to discover how no-code platforms are making AI accessible to everyone, regardless of technical background! In this session, you’ll learn the fundamentals of AI and explore hands-on applications of no-code tools that enable you to build, deploy, and test AI models with ease. Perfect for anyone looking to leverage AI in their projects without coding, this webinar will show you how to start applying AI to real-world scenarios. Don’t miss this chance to get started with AI!
Agenda for the session
- Core Concepts of No-Code AI
- Real-World Applications and Examples
- No Code AI and Machine Learning Program by MIT Professional Education
- Live Q&A
About Speakers
Bhaskarjit Sarmah
Vice President, BlackRock
Bhaskarjit Sarmah is a Vice President at BlackRock and an accomplished data scientist with extensive experience in multiple domains including Retail, Airlines, Media & Entertainment, and Banking, Financial Services, and Insurance (BFSI). At BlackRock, he specializes in developing advanced predictive models for various investment management applications. His expertise spans computer vision, natural language processing, machine learning interpretability, and machine learning uncertainty.
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.
