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AI Fundamentals: London

Build real AI skills across four hands-on courses — designed for working professionals.

Learn how to use AI tools at work, build AI-powered workflows, and apply AI to real business problems.

This is a set of four courses you can take one at a time — or combine to build a complete foundation in applied AI.

Enrol in two courses and get two free. Plus, explore 0% interest financing options for those who qualify.

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Start building your AI fundamentals. Tell us a little about you and we’ll be in touch with next steps.

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4 courses to build real-world AI capability

Grow AI literacy into AI creation and AI leadership through four complementary courses. Take any course on its own or combine them to complete the AI Fundamentals pathway.


Courses in this discipline are designed for professionals across functions – not just for engineers. You’ll start by applying AI to everyday work, progress to building prototypes and agents, and finish with the strategic skills needed to lead AI transformation responsibly.

AI Workplace Fundamentals

  • What you’ll do: Use generative AI to streamline daily work, improve communication, analyse data, and automate workflows
  • Key focus areas: Prompt engineering, AI-assisted content creation, no-code data analysis, workflow automation, responsible AI
  • Skills you’ll gain: AI fluency, productivity optimisation, ethical AI usage, applied prompt design

OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

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Course Highlights

This course establishes the foundation every professional needs in an AI-powered workplace. Learn how to use generative AI tools effectively, responsibly, and strategically across communication, analysis, and operations – no technical background required.

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Move from using AI to creating with it. Learn how to turn ideas into functional prototypes, automations, and digital artifacts using natural language and AI-assisted tools – without traditional coding barriers.

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Go beyond single prompts and workflows. Learn how to design and build no-code AI agents that can reason, use tools, and operate autonomously – unlocking real efficiency and scale.

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Shift from building AI to leading with it. Learn how agentic systems reshape organisations, how roles and workflows evolve, and how to design responsible strategies that turn AI investment into lasting impact.

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Want to learn more? Get answers to common questions and discover what makes learning with GA different. 

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Why this learning pathway works

Learn at your own pace, with built-in flexibility 
Each course is offered independently, so you can start with a single topic or progress through all four courses in this discipline over time. Take courses in the order that fits your interests, background, and schedule, or complete a full pathway to deepen your understanding across the AI software engineering stack.
 
Curriculum designed for today’s AI software landscape 
The pathway reflects how modern software teams are incorporating AI into applications and systems today. You’ll work across front-end development, back-end architecture, AI-powered web applications, and systems engineering, using current tools, frameworks, and workflows that support intelligent, scalable software.
 
Applied learning through hands-on practice 
Each course balances instruction with active learning. You’ll spend a significant portion of your time working in labs and building projects that reinforce core concepts, tools, and techniques. This hands-on approach helps you engage directly with the material and develop practical familiarity with modern software and AI development environments. 

 

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Total cost of each course is £2,500.

Take two courses and qualify for the additional two courses for free. 

*Eligibility is based on terms and conditions.

Divide tuition into two, three, or four easy payments while in school.

As low as £600 per course.

Apply for a 0% interest payment plan from EdAid

Pay your balance over 9 instalments that start from day 1 of your course.

No early repayment penalties

A good option if you want to reduce your upfront costs and pay in interest-free monthly instalments after you’re hired or once your course begins.

The Bundle Loan option enables you to apply for approval for both courses up front, but you won't be billed for the second course until you actually enroll in it.

Loan approval subject to eligibility.

Show off your new skills

You get a digital badge for every individual course you complete. Complete all courses in the discipline, get your pathway badge, and add it to your LinkedIn profile to showcase your new skills to your network.  
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KEY TAKEAWAYS  

Completing all four courses in AI Fundamentals equips you to:

Work effectively with AI across your role

Confidently apply generative AI to everyday work – improving productivity, communication, analysis, and decision-making across business functions using responsible, repeatable approaches.

Create and automate AI-powered solutions

Prototype workflows, build no-code solutions, and experiment with AI-assisted development to turn ideas into working systems that streamline processes and accelerate execution.

Design, scale, and lead AI-driven systems

Build autonomous AI agents and develop the strategic skills to deploy them responsibly – guiding teams through AI adoption, managing risk and governance, and driving sustainable organisational impact.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from AI pros who bring hands-on experience straight from the field to the classroom. Every GA instructor is committed to giving the personalised feedback and support you need to crush your goals every step of the way.
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Learning AI skills is no longer optional. Tell us a little about you—and we’ll get in touch with more info.

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LET’S CHAT

Need to speak with someone directly?
Our admissions team is here to help.

QUESTIONS? WE'VE GOT ANSWERS.

AI is reshaping how work gets done across every role and industry – not just technical ones. Foundational AI skills are no longer optional. General Assembly’s courses in AI Fundamentals equip professionals with the practical skills needed to use AI effectively at work, create AI-powered solutions, understand autonomous systems, and lead responsible AI adoption as these technologies become standard across organisations.
Absolutely. Our flexible pathway approach lets you build your learning schedule to fit your life. Take multiple courses simultaneously, take one course at a time, or create your own custom learning timeline.

Yes. You can bundle any four courses together to “build your own” learning pathway, or simply take as many courses from as many disciplines as you’d like. When it comes to learning at GA, the choice is yours.

Yes. When you pass a course, you’ll receive a LinkedIn-verified digital badge, and if you complete four courses in a pathway, you’ll also receive a pathway badge. Thousands of GA alumni around the world use these badges to demonstrate their skills to their LinkedIn networks, potential employers, and more. Our courses are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.

No prior technical experience is required. All courses in AI Fundamentals are designed for professionals without coding backgrounds. Admissions requirements and recommended experience vary slightly by course and are outlined on each individual course page. Our Admissions team can help you decide which course is the best starting point.

Yes. All of our courses are designed for busy professionals with full-time work commitments. There’s no prework and the workload is designed to be manageable with a full-time job. If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.

Our Admissions team is here to help and can advise whether this pathway is right for you and your learning goals. You can also:

*Course modality options vary by location, pending market availability. Please contact our Admissions team to discuss what version is available in your location.

Education does not guarantee outcomes, including, but not limited to, employment or future earnings potential.
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