Overview
The Professional Certificate programme equips participants with the knowledge and skills to navigate the enterprise deployments and applications for Large Language Models (LLMs). Through exploration of LLMs like GPT, participants gain a comprehensive understanding of their capabilities, design considerations, and potential applications. The programme focuses on the practical use of these LLMs and seamless integration into production workflows using techniques like Retrieval Augmented Generation (RAG). Additionally, the programme fosters awareness of the strengths, limitations, and potential risks associated with implementing LLMs in real-world scenarios.
Course Description & Learning Outcomes
This Professional Certificate will equip learners with the following competencies:
Understand Large Language Models (LLMs) and popular models like ChatGPT/GPT3.5/4.0, LlaMa2 in terms of their architecture, key functionalities, and design considerations
Utilise ChatGPT/GPT4.0 and other LLMs-based services to improve individual knowledge work productivity in terms of analysis, summarisation, recommendations, brainstorming, fine-tuning of ideas, and role-playing.
Utilise ChatGPT/GPT4.0 and other LLMs-based services as a Coach, Critique, Copilot, Customer Success / Self Service, Companion, or “Cat” (aka conceivably cute characters) via good prompt engineering.
Customise and fine-tune ChatGPT/GPT4.0 and other LLMs for different business objectives and industrial context
Gain insights into the functionality of an Embedding Database and integrate it into a LLM setup to provide access to business-specific data
Gain knowledge of emerging architecture and design patterns of incorporating LLMs into production, eg. Retrieval Augmented Generation (RAG) using orchestration frameworks like Langchain
Appreciate the strengths, weaknesses, risks, constraints, ethics, safety, privacy, and governance considerations of ChatGPT/GPT4.0 and other LLMs
Schedule
End Date: 18 Mar 2025, Tuesday
Location: 11 Research Link, COM 3, 119391
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)
