Generative AI Application Development: LLMs, Diffusion Models and RAG
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2026065720
S$300
Original: S$1,000
Save S$700
About This Course
This module equips learners with practical skills to develop Generative Artificial Intelligence (AI) applications for text and image generation. Learners will explore key models, including autoencoders, Generative Adversarial Networks (GANs), and diffusion models, and apply Large Language Models (LLMs) to build intelligent applications.
The module also introduces conditional generation and Retrieval-Augmented Generation (RAG), enabling learners to enhance outputs using external data. Through hands-on activities, learners will design and integrate end-to-end Generative AI solutions for real-world use cases.
What You'll Learn
By the end of this course, you will be able to:
Build AI applications using Large Language Models (LLMs)
Create images and content using Generative Adversarial Networks (GANs) and diffusion models
Apply Retrieval-Augmented Generation (RAG) to improve outputs
Develop end-to-end Generative AI solutions for real-world use cases.
Build AI applications using Large Language Models (LLMs)
Create images and content using Generative Adversarial Networks (GANs) and diffusion models
Apply Retrieval-Augmented Generation (RAG) to improve outputs
Develop end-to-end Generative AI solutions for real-world use cases.
Entry Requirements
As this is an intermediate-level course, learners should have programming background.
Course Details
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