Introduction to Agentic AI

Learn more about AI Agents, what makes them different from Generative AI, and how to build simple agents using free tools such as Claude, Gemini, Glif, and Coze.

Choose a starting date

Learning modes and locations may be different depending on the course start date. Please check the location of your chosen course and read our guide to learning modes and locations to help you choose the right course for you.

  • Start Date: 20 Jun 2026
    End Date: 20 Jun 2026
    Sat (Daytime): 10:30 - 16:30
    In Person
    Location: Keeley Street
    Duration: 1 session
    Course Code: CEN22
    Tutors:  Kate Scott
    Full fee £149.00 Senior fee £119.00 Concession £97.00
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  • Start Date: 31 Oct 2026
    End Date: 31 Oct 2026
    Sat (Daytime): 11:00 - 17:00
    In Person
    Location: Keeley Street
    Duration: 1 session
    Course Code: CMART74
    Tutors:  Kate Scott
    Full fee £159.00 Senior fee £127.00 Concession £103.00
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  • Start Date: 20 Feb 2027
    End Date: 27 Feb 2027
    Sat (Daytime): 10:30 - 13:00
    Online
    Location: Online
    Duration: 2 sessions (over 2 weeks)
    Course Code: CMART75
    Tutors:  Kate Scott
    Full fee £159.00 Senior fee £127.00 Concession £103.00
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Any questions? computing@citylit.ac.uk or call 020 4582 8438

Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Centre for more information on a range of topics including fees, online learning and FAQs.

Book your place
In stock
SKU
251087
Full fee £149.00 Senior fee £119.00 Concession £97.00

What is the course about?

Learn more about AI Agents, what makes them different from Generative AI, and how to build simple agents using free tools such as Claude, Gemini, Glif, and Coze.

What will we cover?

  • What is an agent, and how agentic AI differs from other forms of AI
  • Types of agents and what makes a good agent
  • The difference between automation and augmentation in AI use
  • Dangers and limitations of Agentic AI
  • Use cases for agentic AI applications
  • How to build different types of agents and the underlying questions to ask each time
  • Hands-on sessions building agents in different tools
  • A short session on vibe coding

What will I achieve?
By the end of this course you should be able to...

  • Explain what an AI agent is and what it could be used for
  • Discuss agentic AI’s key features and limitations
  • Be able to build a simple AI agent

What level is the course and do I need any particular skills?

It will help if you have some familiarity with generative AI, through completing a course such as the Introduction to Generative AI or similar, or by using AI tools regularly in work or personal pursuits.

How will I be taught, and will there be any work outside the class?

The class will be a mix of lecture with slides, demonstrations, practical activities and discussions.

Are there any other costs? Is there anything I need to bring?

There are no other costs. Since you will be creating accounts in various web-based tools, You may choose to bring your own laptop if you prefer.. If you’d rather not, the City Lit computers are there for your use.

When I've finished, what course can I do next?

City Lit offers a variety of progression courses in this subject area. Please click here to view all our courses in the Technology area.

Kate Scott

Kate is an experienced digital marketer and UX (user experience) designer, who's worked in Australia, Hong Kong, and the UK. She's spent much of her career in large tech and telecommunications firms, working with the human end of cutting edge technologies. She has a Masters degree in UX Design from the University of Technology, Sydney and was trained by IBM in enterprise design thinking, Agile project management, Agile for marketing and Agile for AI projects. She's taught at the University of Hong Kong, and for Surf Lifesaving Australia - and suggests not getting bitten by a blue-ringed octopus.

Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.