AI courses for businesses and professionals

AI literacy training provides the foundational knowledge needed to understand how artificial intelligence works, where it can be applied and what its limitations are.

Rather than focusing on technical development, AI literacy helps employees build confidence in using AI tools responsibly, identify opportunities to improve productivity and understand the risks associated with AI-generated outputs.

For organisations at the beginning of their AI journey, AI literacy also creates a common understanding across teams, helping to accelerate adoption, reduce uncertainty and establish a culture of confident, responsible AI use.

Core skills such as AI literacy, generative AI, prompt engineering and AI-powered productivity tools are valuable across almost every role, helping individuals work more efficiently and make informed decisions about the use of AI.

However, as organisations mature in their AI adoption, role-specific skills become increasingly important. Technical professionals may benefit from training in AI engineering, machine learning or data science, while those working in areas such as cyber security, software development, governance, risk, compliance or data management often require specialist AI knowledge tailored to their discipline.

That's why organisations are increasingly taking a skills-based approach to AI development. By combining foundational AI training with role-specific learning pathways, businesses can build the capabilities needed to adopt AI confidently, responsibly and effectively across the organisation.

Successful AI adoption requires more than a handful of specialists. To create lasting impact, organisations need employees, managers, technical teams and senior leaders to understand how AI can support their roles and contribute to broader business objectives.

Many organisations take a layered approach, combining AI training for the wider workforce with role-specific training, technical certifications and leadership development. This helps create the skills, confidence and governance needed to move from experimentation to meaningful, organisation-wide adoption.

Yes. QA's AI apprenticeships provide a structured way to develop AI capability through a combination of formal learning and practical workplace experience.

Programmes such as the AI Adoption Champion, AI Automation Specialist and AI Engineer apprenticeships help organisations build skills across a range of roles, from driving AI adoption and transformation to developing advanced technical expertise.

Yes, QA offers a wide range of AI certifications and certification training programmes designed to help professionals build recognised skills in some of the fastest-growing areas of artificial intelligence. 

Our portfolio includes certifications in AI governance and responsible AI, such as the IAPP Artificial Intelligence Governance Professional (AIGP), alongside technical certifications from leading technology providers including Microsoft Azure AI Engineer Associate and Microsoft Azure AI Fundamentals.

We also support professionals looking to develop expertise at the intersection of AI and cyber security, data science, cloud technologies and software engineering. Whether your goal is to build AI solutions, govern AI responsibly or understand the security implications of AI adoption, our certification pathways help individuals validate their skills and organisations build trusted AI capability.

AI skills are becoming essential across almost every industry and profession. This includes: 

AI Engineers

AI engineers design, build and deploy AI-powered applications and services. As organisations move from experimenting with AI to implementing production-ready solutions, demand for expertise in machine learning, large language models, cloud AI services and AI development continues to grow.

Machine Learning Engineers

Machine learning professionals develop the models that power intelligent systems, enabling organisations to automate processes, generate insights and make more informed decisions. These skills remain at the heart of modern AI development and innovation.

AI for Project Management

Project managers play a critical role in helping organisations realise value from AI. By understanding AI capabilities and limitations, they can identify opportunities, support AI-enabled change and make better use of data-driven insights throughout the project lifecycle.

AI Product Management

As AI becomes embedded within products and services, product managers need to understand how AI can enhance customer experiences, improve delivery and drive innovation. AI skills help product leaders make informed decisions about product strategy, development and adoption.

AI Governance

Successful AI adoption requires strong governance as well as technical expertise. AI governance leads help organisations manage risk, ensure compliance, establish responsible AI practices and oversee the effective use of AI technologies. As regulatory requirements continue to evolve, governance skills are becoming increasingly important for organisations deploying AI at scale.

We deliver AI training globally through live virtual classrooms, making it easy for individuals and teams to learn from anywhere. For UK organisations, we also offer training at your location or at QA training centres.

Whether you're developing AI skills for a single learner or building capability across an entire workforce, we provide flexible delivery options to meet your needs.