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Professional Certificate in ChatGPT, Advanced Chat Models, and Generative AI

 

Nov 11 2024, Monday - Dec 06 2024, FridaySee Schedule below for times (GMT +8:00) Kuala Lumpur, Singapore

 

11 Research Link, COM 3, 119391 and Online

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Overview

More than 40 years ago, Alvin Toffler had mentioned that robotic literacy will be a necessity in the future. Now we are on that supposed future. Nowadays, robots are not only physical, R2D2 style, but advanced software apps, like the ChatGPT.

This is the first time that many of us experience the Artificial Generative Intelligence, or a touch of Artificial General Intelligence, nevertheless, it won’t be the last time. Many of such robots will be around very soon. ChatGPT and its Applications course can be useful for individuals who are interested in learning about the capabilities and potential applications of chatbot models like ChatGPT, how it works, its applications, and how we can use it efficiently. This is a new realm, so, join us to explore it together.

Course Description & Learning Outcomes

This Professional Certificate will equip learners with the following competencies:

  • Understand ChatGPT and its major components, including its architecture and key functionalities.

  • Utilise ChatGPT for decision-making, predictive data analysis, and as an advisor or virtual assistant.

  • Customise and fine-tune ChatGPT for specific business needs and industry requirements.

  • Recognise the strengths, weaknesses, risks, and limitations of ChatGPT

  • Gain knowledge of generative AI models, such as GANs, VAEs, and Transformer-based architectures like GPT, and apply the knowledge gained to implement generative models

  • Develop a solid understanding of NLP concepts and techniques, and apply them practically to build chatbots and NLP applications.

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Schedule

Start Date: 11 Nov 2024, Monday
End Date: 06 Dec 2024, Friday

Location: 11 Research Link, COM 3, 119391 and Online

Pricing

Course Pricing

Skills Covered

PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.

  • Machine Learning (Proficiency level: Beginner)
Technology:
Industries: