Generative AI and Prompt Engineering Course

Here, you will discover how Generative AI is applied across industries. We will showcase the application of AI tools in healthcare, finance, design, and other industries. The focus is on the practical use of tools like GPT, Claude, LLaMA, and MidJourney, as well as platforms such as ChatGPT Playground and Hugging Face.

Our experienced trainers will teach you how to select the right tools for specific tasks. You will learn how to integrate them into workflows and apply them to solve real-world business problems efficiently.

Here, we will discuss how large language models are constructed and optimised. You will learn about the basic components of transformers, pre-training, fine-tuning, and evaluation approaches, and compare open-source and closed-source options.

As a student, you will understand more about data preparation, model tuning techniques, and performance optimisation methods. These are often used to build efficient and scalable AI models for real-world applications.

In our course, you will learn how to design effective prompts using zero-shot, few-shot, and advanced approaches. You will be introduced to concepts like retrieval-augmented generation (RAG).

Examples of potential use cases include summarisation, code generation, data analysis, and multimodal outputs that combine text and imagery. You will also learn prompt structuring techniques, evaluation methods, and optimisation strategies to improve output quality.

Our generative AI and prompt engineering course concludes with a project-based approach. Here, we will teach you how to develop a chatbot, create a prompt library, automate reports, and/or develop more creative AI solutions.

You will also learn how to structure projects, document workflows, and present outcomes effectively. With our guidance, you can document each project in order to showcase your skills in the professional arena.