No-Code AI Toolkit

Unlock The Power of AI and ML Without Coding – Empowering You to Shape The Future, Ethically and Innovatively.

In this course, you will explore the foundational principles of artificial intelligence (AI) and machine learning (ML) through an accessible and practical learning experience designed for participants without coding backgrounds.

The course introduces key AI concepts and demonstrates how AI can be applied to solve real-world challenges across various industries.

Through hands-on exercises using no-code AI platforms, you will learn how to prepare data, build models, and deploy machine learning solutions using AutoML tools.

You will also become familiar with essential AI terminology and examine the ethical considerations involved in developing and deploying AI systems responsibly.

By the end of the course, you will be able to confidently use no-code AI tools to create AI-driven solutions and communicate results clearly in business and professional contexts.

Course Highlights AI and digital transformation fundamentals Business and industry use cases for AI Supervised and unsupervised machine learning concepts No-code AI and AutoML tools and technologies Data preparation , cleaning, and feature engineering Building and deploying machine learning solutions without programming Course Benefits By the end of the course, you will: Gain a clear understanding of artificial intelligence and machine learning without requiring programming skills Develop practical experience using no-code AI and AutoML tools Learn how to identify business challenges that can be addressed with AI solutions Build and deploy machine learning models for real-world applications Strengthen data literacy through data preparation and feature engineering techniques Understand ethical considerations in AI development and deployment Improve the ability to communicate AI results in business-friendly language Credit earned may be applied toward an academic degree or professional credential, subject to the approval of the receiving institution(s) Course Details and Next Steps Course Typically Offered: Online during the Summer and Winter quarters.

Prerequisites: Basic understanding of business and technology, and an interest in the impact of AI on business processes and transformation.

A bachelor's degree in any field or equivalent experience is desirable.

Next steps: Upon completion of this class, consider enrolling in other courses in the Machine Learning Methods and Technical Aspects of Artificial Intelligence certificate program.

More information : Contact unex-techdata@ucsd.edu to learn more about this course.