By the end of this course, learners will be able to:

• Demonstrate a comprehensive understanding of how LLMs function and their role in contemporary digital solutions.
• Use OPEN AI apis
• Get a Solid understanding of LLM
• Get familiar with python and jupiter notebook
• Use Promp engineering
• Design and implement basic applications that utilise LLMs for real-world content creation and process automation.
• Employ tools such as LangChain to integrate LLMs into broader workflows and systems.
• Critically evaluate current advancements in the field to identify opportunities for innovation and practical application within business or development contexts.

Learning Objectives

Upon successful completion of this course, learners will be able to:

1. Understand the core principles underpinning large language models (LLMs), including the transformer architecture and methods of training.
2. Apply foundational concepts in prompt engineering to optimise interactions with LLMs.
3. Develop content generation and automation solutions using LLMs, with a particular focus on practical tools such as LangChain.
4. Analyse recent innovations and ongoing research in the field of large language models to remain informed of emerging trends and capabilities.