Our AI training covers the breadth of technical skills, such as development, engineering, and cyber security, including essential data privacy and AI security and governance. 

Our training is delivered in partnership with leading AI organisations across the world, including NVIDIA, Microsoft, AWS, Databricks and Google. We also work with a large team of subject matter experts and AI trainers, who are all accredited and experienced AI professionals. 

As AI technology rapidly evolves, so does the requirement for individuals and businesses to keep up with the pace of change. 

Training in AI can help to close vital skills gaps that many organisations are facing, and supports them in delivering an effective AI strategy. 

Whether it's end users, using programs such as Microsoft Copilot, or technical users working with AI in data science or machine learning, our training supports the need for AI reskilling and upskilling. 

Businesses who invest in AI training now have the benefit of securing a competitive advantage, by understand how to harness the power of AI in the correct way. 

For individuals, they can future proof their skillset by investing in AI skills that businesses need right now. 

We offer flexible training methods to support organisations with adoption of AI and wider AI transformation. 

This includes: 

Instructor-led AI training

Learners spend time with an experienced instructor, with real-world AI experience, to develop their skills and AI capability. 

Online AI courses

Learners learn at their own pace using our in-depth library of online AI courses, covering a wide range of topics for beginners, technical teams and leadership teams. 

AI apprenticeships

Our apprenticeship programmes are funded through the growth and skills levy and give businesses a cost-effective way to upskill their team in AI. This includes leading apprenticeship standards in AI, including: 

• Digital and AI Support Level 3
• AI Automation Specialist Level 4
• AI Engineer Level 6

AI academies

Our AI academies support businesses with AI transformation at scale, delivering training across the entire workforce in the skills they need most. 

AI skills are needed across almost every industry and every role, with many AI skills now expected as foundational skills. Here are some of the key emerging roles in the world of AI: 

AI engineer

A role as an AI engineer requires several essential technical skills, including experience of programming languages like Python and R, and core understanding of data science and machine learning principles.

AI security engineer

AI security engineers are critical for businesses. They play a vital role in safeguarding AI systems, ensuring the protection of sensitive data, prompts, and responses.

Machine learning engineer

Combining software engineering with data science, machine learning engineers ensure AI models are efficient, scalable, and continuously improving. Their work powers innovations that shape the future of technology.

AI in project management

AI literacy enables project managers to: contribute to innovation conversations, lead AI-enabled initiatives with confidence and gain predictive insights to improve decision-making. PMs who understand AI can bridge the gap between business and technology.

AI product management

A product manager is a key role, particularly in agile environments, where they serve as the bridge between stakeholders, customers, and the development team. This role increasingly requires the harnessing of AI for productivity and solution delivery.