Post Diploma Certificate in Deep Learning and Applied Generative AI - Part of Specialist Diploma in Applied Generative Artificial Intelligence (SDGAI)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2023038930
S$5,055
About This Course
This Post Diploma Certificate (PDC) in Deep Learning and Applied Generative AI comprises 4 modules
1. Deep Learning for Natural Language Processing
2. Deep Learning for Image Recognition
3. Visual Generative AI Application
4. LLM Application
What You'll Learn
This Post Diploma Certificate (PDC) in Deep Learning and Applied Generative AI comprises four modules. What you will learn in each module:
1. Deep Learning for Natural Language Processing:
1.1. Understand and apply deep learning techniques to process and analyze textual data.
1,2. Explore models like Neural Networks and Recurrent Neural Networks (RNN) for NLP tasks.
2. Deep Learning for Image Recognition:
2.1. Learn the principles of deep learning for visual data.
2.2. Implement and train models such as Convolutional Neural Networks (CNN) for image recognition.
3. Visual Generative AI Application:
3.1. Explore generative AI models like Generative Adversarial Networks (GANs) for creating images and videos.
3.2. Gain hands-on experience in developing applications using these models.
4. LLM Application:
4.1. Understand and apply Large Language Models (LLMs) for text generation and processing.
4.2. Implement and experiment with models like GPT and LangChain in practical scenarios.
1. Deep Learning for Natural Language Processing:
1.1. Understand and apply deep learning techniques to process and analyze textual data.
1,2. Explore models like Neural Networks and Recurrent Neural Networks (RNN) for NLP tasks.
2. Deep Learning for Image Recognition:
2.1. Learn the principles of deep learning for visual data.
2.2. Implement and train models such as Convolutional Neural Networks (CNN) for image recognition.
3. Visual Generative AI Application:
3.1. Explore generative AI models like Generative Adversarial Networks (GANs) for creating images and videos.
3.2. Gain hands-on experience in developing applications using these models.
4. LLM Application:
4.1. Understand and apply Large Language Models (LLMs) for text generation and processing.
4.2. Implement and experiment with models like GPT and LangChain in practical scenarios.
Entry Requirements
A recognized local Polytechnic Diploma or Degree in any discipline or at least one (1) year of relevant work experience.
Course Details
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