"Working with generative AI for the first time was daunting, but this course made it accessible and highly practical. The hands-on exercises with LLMs, prompt engineering, and fine-tuning gave me confidence to start building AI applications immediately. Excellent course and instructors!"
This course provides a comprehensive introduction to modern generative AI and large language models. Learners explore how LLMs work, from the architecture of transformers to the principles of attention mechanisms, tokenisation, and embeddings. The course is highly practical, with hands-on exercises using popular open-source frameworks and APIs, enabling learners to build chatbots, text generators, summarisation tools, and other AI applications. Emphasis is placed on real-world use cases, prompt engineering, fine-tuning techniques, and the ethical considerations of generative AI in professional contexts.
Module 1: Foundations of LLMs & Generative AI
Learners start by understanding how large language models operate, including transformer architecture, attention mechanisms, tokenisation, and embeddings. This module balances theory and practice, helping learners grasp the underlying mechanics of LLMs while preparing them for hands-on experiments with pre-trained models.
Module 2: Prompt Engineering & Fine-Tuning
This module focuses on practical skills for getting the most out of LLMs. Learners explore prompt design, few-shot and zero-shot learning, and techniques for fine-tuning models to specific tasks. Hands-on exercises include building custom chatbots, text summarisation tools, and other generative AI applications that can be deployed in real-world scenarios.
Module 3: Applications, Deployment & Ethics
Learners apply their knowledge to design and deploy generative AI systems responsibly. The module covers deployment best practices, integration into applications, model evaluation, and mitigating risks such as bias, hallucination, and misuse. Ethical and regulatory considerations are emphasised, preparing learners to develop AI that is both effective and trustworthy.
This course is ideal for AI developers, software engineers, data scientists, and technical professionals interested in generative AI. It is also suitable for individuals looking to specialise in LLMs, build AI-driven applications, or explore careers in AI research, product development, or cutting-edge enterprise solutions.
We guide organisations in adopting AI to automate tasks, streamline processes, and free up valuable time so your team can focus on what really matters.
Our hands-on training helps staff build confidence in using AI tools, from automation to data analysis, improving both efficiency and decision-making.
We design and support AI systems tailored to your organisation, ensuring smooth integration with existing workflows and long-term efficiency gains.
Attendees will gain the skills to work with LLMs confidently, design generative AI applications, and fine-tune models for specific tasks. The course provides practical, hands-on experience that enables learners to build functional AI systems, innovate with text generation tools, and apply generative AI in real-world projects.
Our inhouse programmes are easy to arrange and can be tailored to meet more specific learning needs. Training can be run from your own premises, or we will help you select a suitable venue offsite. Our existing IT courses can be customised to meet your organisation requirements. With all our courses there are no hidden cost, the price you see is the price you pay.
With Infinity AI's inhouse training, your team can gain the essential IT skills they need without the inconvenience of off-site sessions. Our expert-led courses are designed to fit your business, maximising participation and providing customised solutions that boost productivity and performance. Let us bring the training to you, ensuring your entire team is equipped for success.
Inhouse Training
Infinity AI Learning delivers expert-led, practical AI training focused on real-world impact. Our courses combine theory, hands-on projects, and professional workflows, ensuring learners acquire skills that are immediately applicable in industry, defence, or research. We emphasise support, mentorship, and future-ready training that prepares learners for high-growth AI roles.
