Stay ahead of the curve

  • Certificates for every course

    Show off your AI skills with a certificate upon completion for each course you complete, perfect for boosting your portfolio or college applications!

  • Hands-On Projects & Activities

    Apply what you learn through fun, interactive projects that build real-world experience.

  • Learn at Your Own Pace

    Enjoy flexible, self-paced learning with 1 year of access to all course materials, so you can study anytime, anywhere!

This Membership includes

Here are all the courses that are in your membership

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Meet Your Experts

Our instructors are AI experts with real-world experience to give you a good foundation into AI.

QuantumBlack, AI By McKinsey

QuantumBlack uses AI to help organisations reinvent themselves from the ground up and accelerate sustainable and inclusive growth. As the AI consulting arm of McKinsey, they use deep strategic thinking and domain expertise to help clients innovate and develop new opportunities.

Gavin Johnson-Lynn

Principal Offensive Security Specialist, Sage

Gavin is an accomplished cybersecurity professional and Pluralsight Author, focusing on software development and offensive/defensive security. While working as an ethical hacker at Sage, a global organisation, he hacks into business assets to help secure them.

Jen Margules

Director of Portfolio Marketing, BMC Software

Jennifer Margules is the Director of Portfolio Marketing for BMC Software’s Innovation Labs. She has been honoured in the AFCEA’s 2022 40 Under 40 Award for contributions to a technical field through innovation, and the 2022 Women Tech Network Community Award for her leadership in tech.

Piero Paialunga

Data Science Writer, Towards Data Science

A PhD student in Aerospace Engineering at the University of Cincinnati with a Master’s Degree in Physics and Data Scientist, Piero Paialunga is an expert in his field who worked as a Machine Learning Engineer at Gen Nine Inc. Among his numerous accolades, Piero is one of six students to have been selected as a UC Space Research Institute Fellow.

Noah Hellen

MSc, Machine Learning and Data Science, Imperial College London

Noah fell in love with maths at university and now focuses on AI/ML in postgraduate studies. Professionally, he's completed a few internships, including a fun ML engineering position. He wants to give back to the community, as he joined a TiAI hackathon as a teen, which opened his eyes to the world of AI/ML.

Jade Hill

Offensive Security, Sage

Jade is a young professional working in Offensive Security at Sage. She recently graduated with a BSc in Networking and Cyber Security and is interested in ethical hacking, web application testing and cloud security.

Billy Chambers

Cybersecurity Engineer, Sage

Billy is a cybersecurity engineer who has been interested in cyber defence from a young age. He graduated from a Level 4 Apprenticeship as a Cyber Defence Analyst before specialising in Security Automation at Sage, a global organisation. His work focuses on managing the company’s key cyber response tools and developing solutions to improve efficiency and automate responses to security incidents.

Damani Eason

Senior Business Executive, Sage

Damani Eason is a Business Executive to the Chief Technology Officer at Sage. He holds a BSc in Industrial and Systems Engineering from the University of Florida. In his role, he partners with Sage’s AI, product, and engineering teams to shape how emerging technologies are translated into powerful solutions for businesses and developers. He is passionate about ensuring AI is accessible and resonates with the next generation, empowering them to move from using technology to building it.

Mac Chen

Machine Learning Engineer, Sage

Mac Chen is an engineer with an M.Sc. in Artificial Intelligence from the University of Edinburgh. In 2025, he joined Sage AI and focused on agentic LLM systems, developing reliable tool-calling and evaluation frameworks to measure correctness and robustness, and improving observability to make model behaviour auditable in production.

Yu-Cheng Tsai

Principal Machine Learning Scientist, Sage

Yu-Cheng Tsai is a Ph.D. graduate from Princeton University in Mechanical and Aerospace Engineering, where he focused on computational physics. In 2021, he joined Sage AI to evaluate time-series models, develop production models for the invoice general ledger coding classification system, and prototype graph neural network models for accounting workflows and leveraging Generative AI.

Bona Chow

Machine Learning Engineer, Sage

Bona holds an MSc in Natural Sciences from the University of Cambridge and began her career in gemmology. During the COVID-19 pandemic, she started learning how to code and studying Data Science in her spare time, quickly becoming fascinated by artificial intelligence and machine learning. Her dissertation project focused on developing a computer vision algorithm to classify 68 types of gemstones. She is passionate about using her experience to encourage more women and individuals from underrepresented backgrounds to explore opportunities in technology and pursue careers in AI.

Dr. Pete Husemeyer

Chief Innovation Officer + Co-Founder, Sportable

Pete is passionate about sports, technology and engineering. Before co-founding Sportable in 2016, Pete completed engineering degrees in Mechanical Engineering, Computational Mechanics and Nuclear Engineering, including a PhD in Space Nuclear Engineering from Cambridge University. While at Cambridge, Pete spent four years working for NASA Marshall Space Flight Centre and the Centre for Space Nuclear Research based at Idaho National Labs. He now applies his passion for sports and problem-solving as Chief Innovation Officer and member of the board for Sportable.

✨FAQ's

  • What are the benefits of the Membership?

    With the £99.99 subscription, you’ll get access to every course, including certificates and projects—just like individual purchases.

  • Does this include any new courses published after i sign up for a membership?

    Yes! - After signing up for a membership, you can access all existing and new courses we offer on our learning platform.

  • What tools do I need to learn online?

    You will just need access to the internet and a reliable device. It helps if you have a laptop or computer to view the videos and complete the tasks, but you can view content on a phone too. Our goal is to design our programmes to be accessible to everyone. For example, all of the videos are subtitled and have reading material attached to the lessons.

  • How do refunds work?

    Please go to our terms and conditions page for more information.