Generative AI: Artificial Intelligence and Machine Learning

Develop in-demand skills for your future career

Introduction to Generative AI

  • 15 weeks, starting 4 March 2024
  • On campus teaching hours (per week): 5 hours, every Monday from 9:30 am – 15:15 pm, Hackney Campus
  • 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 six weeks, providing you with a solid foundation and hands-on experience in the fundamentals of AI, ML, and Python.

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.

This is part 1 of the Generative AI course, which covers the foundational 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.

  • Available to

    Adults aged 19+


  • Cost

    This course is FREE if you meet any of the following criteria:

    • Live in the Greater London Authority and earn less than £25,300.60 per year
    • Live in the Greater London Authority and are unemployed and in receipt of benefits

    All adult students pay a £30 college membership fee.

    If you live in Greater London and earn more than £25,300.60, the maximum fee is £362 + college membership fee.

    If you live outside Greater London, the maximum fee is £810 + college membership fee.

  • Entry requirements

    • Essential: Level 2 in English and maths 
    • Desirable: Basic programming knowledge  
  • What will I study?

    Fundamentals of AI, ML, and Python 

    • Introduction to AI and ML
    • Basic concepts and historical context
    • Python for AI and ML
    • Basics of Python
    • Introduction to libraries like NumPy, Pandas, and Matplotlib

    Mathematical Foundations 

    • Linear algebra, calculus, and statistics for ML
    • Key concepts that underpin ML algorithms

    Core Machine Learning Concepts 

    • Supervised learning basics
    • Simple regression and classification models
    • Model evaluation and validation

    Introduction to Cloud Platforms and ML 

    • AWS for ML beginners
    • Overview of AWS services like S3, EC2, and SageMaker
    • Basic data processing with AWS

    Capstone Project and Assessment 

    • Beginner capstone project
    • A simple ML project using Python and AWS services
    • Assessment and review
  • 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. 

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What can I do next?

This course will allow you to progress to the Advanced AI course or other qualifications including a Level 4/5 Diploma in Software Development or a Software Development technician Apprenticeship Standard.

Following successful completion of part 1 of this course, you can progress onto part 2. To secure employment in the sector, it is advisable to complete part 2 of the course.

Following completion of part 2 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.