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Generative AI & Machine Learning (International)

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Develop in-demand skills for your future career

Introduction to Generative AI

  • 30 weeks, starting 28 Apr 2025
  • Online teaching hours (per week): 5 hours
  • Independent learning (per week): minimum of 10 hours of self-study depending on previous experience

Artificial Intelligence and Machine Learning

Embark on a journey into the fascinating world of Artificial Intelligence (AI) and Machine Learning (ML) with our beginner course. This comprehensive program spans 30 weeks, providing you with a solid foundation and hands-on experience in the fundamentals of AI, ML, and Python.

This is course has two semesters, which covers the foundational and advanced knowledge, with a significant emphasis on practical, hands-on experience using popular cloud platforms. This structure is beneficial for learners and professionals looking to specialise in modern AI and ML technologies and applications. Click onto the course page here to get an in depth view of the course contents.

The field of AI and ML is dynamic and rapidly evolving, and the demand for skilled professionals continues to grow. Your proficiency in generative AI, deep learning, NLP, and cloud-based ML will position you for exciting opportunities in a variety of industries, including technology, healthcare, finance, and more.

  • Available to

    Adults aged 19+

     

  • Cost

    Course fee: £6000.00

    This is an online international training course and does not provide eligibility for International Student Visa. On completion of enrolment, the fee is non-refundable.

  • Entry requirements

    • Essential: Level 2 in English and maths 
    • Desirable: Basic programming knowledge

  • What will I study?

    This course provides an in-depth introduction to Generative AI over 30 weeks. The first half covers AI fundamentals, machine learning concepts, and Python programming, progressing to deep learning, reinforcement learning, and Natural Language Processing (NLP). Students are introduced to various generative models, including probabilistic models and Variational Autoencoders (VAEs), and work on a generative AI project starting from Week 6.

    The second half delves into advanced topics, such as cloud-based ML using AWS, Generative Adversarial Networks (GANs), advanced GAN architectures, and transformers. Transfer learning and ethical considerations in AI are also explored. The course concludes with a final project, allowing students to apply generative AI techniques in a practical setting.

    Click onto the course page here to get an in depth view of the course contents.

     

  • Why study with us?

    Hands-on Experience

    Engage in practical exercises and projects to reinforce your learning. 

    Expert Instructors

    Learn from experienced professionals in the field of AI and ML. 

    Comprehensive Curriculum

    Cover essential concepts, tools, and techniques for a strong foundation. 

    Capstone Project

    Apply your skills to a real-world project, showcasing your proficiency. 

What can I do next?

This course will allow you to progress to the Advanced AI course. Following completion of this course, job opportunities include:

  • AI Developer
  • AI Engineer
  • Data Science
  • Software Developer
  • AI Product Manager
  • AI Ethics Consultant
  • AI Instructor/Trainer
  • AI Consultant

 

For some jobs, you may need to have a higher education degree or AI-related certifications, such as a Certified Artificial Intelligence Engineer (CAIE™) or a Google Data Analytics Certification. This course enables you for these certifications.