TPUD - Generative AI (Asynchronous e-Learning)
Training Provider: Temasek Polytechnic
Course Reference: TGS-2024045808
S$1,215
Original: S$4,050
Save S$2,835
About This Course
This Generative Artificial Intelligence (AI) program equips software developers with essential skills to apply these cutting-edge AI technologies to enhance their software applications.
The program addresses the growing demand for expertise in adapting generative foundation models, crafting custom applications using large language models (LLMs), and employing advanced techniques like Stable Diffusion.
The program is targeted at software developers to stay at the forefront of artificial intelligence and deep learning advancements. Prerequisites are: (1) Python at an intermediate level and (2) SQL at an intermediate level
What You'll Learn
Graduate of this program will learn to:
1) Situate Generative Artificial intelligence (AI) within the broader history, context, and applications of artificial intelligence and deep learning.
2) Explore and Adapt advanced techniques in AI model fine-tuning with Hugging Face and PyTorch tool to perform tasks in novel contexts
3) Use LLMs, retrieval-augmented generation (RAG) and prompt engineering to create a custom chatbot.
4) Use image generation models such as Segment Anything Model (SAM) and Stable Diffusion to replace parts of images with AI-generated content.
5) Build applications that use LLMs for content generation, vector databases, semantic search and RAG techniques to transform data listings into narratives.
1) Situate Generative Artificial intelligence (AI) within the broader history, context, and applications of artificial intelligence and deep learning.
2) Explore and Adapt advanced techniques in AI model fine-tuning with Hugging Face and PyTorch tool to perform tasks in novel contexts
3) Use LLMs, retrieval-augmented generation (RAG) and prompt engineering to create a custom chatbot.
4) Use image generation models such as Segment Anything Model (SAM) and Stable Diffusion to replace parts of images with AI-generated content.
5) Build applications that use LLMs for content generation, vector databases, semantic search and RAG techniques to transform data listings into narratives.
Entry Requirements
Experience in programming:
(1) Uses Python at an intermediate level
(2) Uses SQL at an intermediate level
Course Details
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