Generative AI training

This course focuses on the practical skill of prompt engineering. You’ll learn how to structure, refine and optimise prompts to generate accurate, consistent and high-quality outputs from ChatGPT. It covers prompt frameworks, advanced prompting techniques and strategies to reduce bias or ambiguity. Designed for professionals already using AI tools, it helps you improve efficiency and reliability when integrating generative AI into your workflows.

This course examines the ethical implications of generative AI in professional environments. You’ll explore bias, transparency, accountability, data privacy and responsible deployment. The training provides structured guidance on evaluating AI outputs and making informed decisions that align with organisational values. Ideal for professionals involved in AI implementation or oversight, the course strengthens your ability to ensure AI systems are used fairly and responsibly.

Workflow Automation using Generative AI demonstrates how these tools can streamline repetitive tasks and enhance operational efficiency. You’ll learn how to design AI-supported processes, integrate generative AI into existing systems, and evaluate automation opportunities. The course focuses on practical application, enabling you to reduce manual workload and support productivity across teams.

This course explores how generative AI can support data interpretation, reporting and insight generation. You’ll learn how to use AI tools to summarise datasets and enhance decision-making processes, as well as understand how to address data governance to ensure outputs remain reliable. Ideal for analysts and data professionals, the course helps you integrate AI into analytical workflows while maintaining quality and accountability.

This advanced course examines image generation models and their practical applications. You’ll learn how AI creates visual content, the technical considerations behind image outputs and the governance implications of using AI-generated media. It is suited to professionals working in creative, marketing or product environments who want a deeper understanding of AI image capabilities and limitations.

The Advanced Generative AI – Models and Architecture course provides a deeper technical understanding of how generative models are designed and trained. You’ll examine neural network architecture, model capabilities and performance considerations. This course supports technical professionals who require insight into AI infrastructure and development concepts, enabling informed decision-making around implementation and integration within business systems.

The Advanced Generative AI – Building LLM Applications course focuses on the practical development of applications powered by large language models. It is suited to technical professionals who want to develop scalable, production-ready AI applications and strengthen their ability to apply generative AI securely and effectively within business environments. 

You’ll discover how to design, build and integrate LLM-driven solutions into real-world systems, moving beyond theory into hands-on implementation. The course covers prompt orchestration, API integration, data handling considerations and performance optimisation.