New Course Targets Non-Technical Professionals Wanting to Use Generative AI

United Ceres has announced a new two-day classroom programme called the GenAI Builder Sprint, designed for professionals who want to learn how to configure, evaluate, and use generative AI tools to build and deploy a simple AI application. The course, reference number TGS-2026066909, includes 12 training hours and two assessment hours, and carries a fee of S$1,600 excluding GST, with funding available subject to eligibility.

The programme is aimed at non-technical and semi-technical professionals, including business professionals, managers, executives, operational staff, entrepreneurs, small business owners, educators, and process owners. It teaches participants to identify relevant use cases, configure models, evaluate results, and work with AI-assisted development tools. The course is not designed to teach participants to train complex machine learning models from scratch, but rather to provide a practical foundation for working with generative AI in a business context.

How Generative AI Tools Are Used in Business

Generative AI systems produce new content, such as text, images, code, or audio, based on patterns learned from large datasets. In a business setting, these tools can help with tasks like drafting reports, generating marketing copy, summarizing documents, or creating prototypes. Rather than requiring deep technical expertise, many modern generative AI platforms offer graphical interfaces and pre-built models that allow users to interact with the technology through natural language prompts or simple configuration options.

Professionals who understand how to select the right model for a given task, adjust its parameters, and interpret its outputs can apply these tools to improve productivity and explore new ways of working. The GenAI Builder Sprint addresses this growing need by focusing on the practical steps involved in building a small application: identifying a problem that generative AI can help solve, setting up the model, testing its responses, and refining the results. This approach makes the technology accessible to people who may not have a background in computer science or machine learning.

Why This Matters Now

Interest in generative AI has expanded rapidly in recent years, driven by advances in large language models and image generators that produce increasingly convincing results. Many organizations are exploring how to integrate these tools into their workflows, but they often face a gap between the technical capabilities of the technology and the practical skills of their workforce. Courses like the GenAI Builder Sprint aim to bridge that gap by teaching hands-on, task-oriented skills rather than theoretical concepts.

For business professionals, being able to build an AI app for a specific use case can mean faster turnaround on routine tasks, more consistent output, and the ability to test ideas without waiting for a dedicated development team. Managers and executives may find that understanding the configuration and evaluation process helps them make better decisions about where to invest in AI. Small business owners and entrepreneurs, who often lack large technical teams, can use these skills to prototype solutions on their own. Educators and process owners can apply the same methods to improve instructional materials or optimize operational procedures.

The course structure is deliberately short. At two days, with 12 hours of training and two hours of assessment, it is designed for busy professionals who need a concentrated learning experience. The classroom format allows for direct interaction with instructors and peers, which can help participants work through problems and share insights. The assessment component ensures that participants can demonstrate their ability to apply what they have learned.

What Participants Learn

During the programme, participants learn to identify suitable use cases for generative AI within their own work context. They then configure a model to address that use case, evaluate the results it produces, and use AI-assisted development tools to refine the application. The emphasis is on practical, repeatable steps rather than on the underlying mathematics or algorithm design. This focus makes the course suitable for people who want to start using generative AI quickly, without needing to become experts in machine learning.

One of the key skills covered is the ability to evaluate model outputs critically. Generative AI systems can produce plausible-looking content that contains errors, biases, or irrelevant information. Knowing how to assess the quality of the output and adjust the model's settings or the prompt to improve it is essential for producing reliable results. The course also covers the use of AI-assisted development tools, which can help people write code, create data pipelines, or integrate models into existing applications. These tools can speed up the development process and make it easier for non-technical users to participate.

Who Can Benefit

The programme is intended for a broad audience. Business professionals who need to generate reports, proposals, or client communications may find that generative AI helps them work more efficiently. Managers and executives who oversee teams or projects can use the skills to evaluate AI proposals and guide implementation. Operational staff who handle repetitive documentation or data entry tasks may discover ways to automate parts of their work. Entrepreneurs and small business owners can prototype new offerings or improve customer communications. Educators can create custom learning materials or assessments. Process owners can identify bottlenecks and test AI-driven solutions.

The course is not aimed at people who want to train large machine learning models from scratch or who need to understand advanced topics like reinforcement learning or neural network architecture. Instead, it targets those who want to build an AI app using existing generative AI tools, configuring them to suit a particular purpose. This distinction is important, because it means participants can leave the course with a working application that they can immediately use or share with their teams.

Course Details and Availability

The GenAI Builder Sprint is a two-day classroom programme with assessment. The fee is S$1,600 excluding GST, and funding is available subject to eligibility. The course reference is TGS-2026066909. United Ceres runs the programme in a classroom setting, providing participants with guided instruction and hands-on practice. The assessment component measures the ability to apply the skills taught during the course.

For organizations, investing in this type of training can help build internal capacity for working with generative AI. Instead of relying on external consultants or waiting for new hires with specialized skills, companies can equip existing staff with the knowledge they need to experiment and implement small-scale solutions. This can lead to faster adoption of AI tools across departments and a more informed approach to larger AI initiatives.

Looking Ahead

As generative AI continues to evolve, the demand for practical, accessible training is likely to grow. Courses that focus on application rather than theory can help professionals stay current with a rapidly changing field. The GenAI Builder Sprint offers one such path, providing a structured, short-term learning experience that emphasizes hands-on skills and real-world use cases. For non-technical professionals looking to understand and use generative AI, it represents a way to gain competence without needing to become a developer or data scientist.