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AI & Machine Learning: London

Build AI and machine learning skills, one course at a time.

Build practical skills to design, deploy, and maintain the AI systems that drive modern business transformation. Take individual courses or combine them to master the tools and methodologies that power production-grade AI applications.    

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4 courses to build real AI and machine learning skills

Master the complete AI development lifecycle through four specialised courses. Take any course individually or combine them all to complete the pathway. From applied machine learning and data infrastructure to production operations and system reliability, you'll learn to build, deploy, and maintain intelligent systems that scale in real-world environments.

Applied AI & Deep Learning in Action

  • What you'll build: Deep learning models, NLP sentiment analyser, computer vision classifier, LangChain-powered chatbot
  • Key technologies: PyTorch, Hugging Face, TensorFlow, LangChain, Vector databases, BERT, CNNs
  • Skills you'll gain: Neural network design, transformer architectures, responsible AI deployment, model evaluation

Course Highlights

Master the complete journey from machine learning fundamentals to production AI systems. Learn to build neural networks with PyTorch, work with transformers and NLP pipelines, and deploy responsible AI solutions using LangChain and vector databases. This hands-on course gives you immediately applicable skills whether you're transitioning into AI development or enhancing existing technical expertise.

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Transform raw data into AI-ready pipelines that scale. Master cloud architectures, streaming workflows with Kafka, and automated orchestration using Airflow while connecting enterprise data to generative AI systems. Perfect for professionals ready to build the robust data foundations that modern AI applications depend on.

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Move beyond model building to strategic AI infrastructure leadership. Learn to architect end-to-end ML pipelines, implement governance frameworks, and create scalable deployment strategies while balancing technical excellence with business outcomes. Gain the strategic expertise needed to lead AI transformation initiatives.

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Master the operational skills that separate experimental AI from production-grade systems. Learn to monitor AI performance, implement automated recovery, diagnose system failures, and optimise infrastructure costs while maintaining reliability at scale. Get the skills that make you invaluable as AI becomes mission-critical to business operations.

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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 build a cohesive understanding of how AI systems are developed and maintained.

Curriculum designed for today’s AI systems landscape
This pathway reflects how modern organizations build and operate AI systems in real-world environments. You’ll work across applied machine learning, data engineering, MLOps, and systems reliability, using current tools, platforms, and workflows that support scalable, production-grade AI development.
 
Applied learning through hands-on practice 
Each course balances instruction with active learning. You’ll spend a significant portion of time working through practical exercises and projects that reinforce core machine learning concepts, data pipelines, deployment workflows, and operational practices. This hands-on structure supports deeper engagement with the tools and processes used to build, deploy, and maintain AI systems.

 

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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 £625 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 of the courses in AI & Machine Learning will equip you with these essential AI engineering skills:

BUILD PRODUCTION-READY AI SYSTEMS FROM CONCEPT TO DEPLOYMENT

You'll master the complete AI development lifecycle, from training deep learning models with PyTorch and transformers to building scalable data pipelines with Airflow and Kafka. You'll learn to integrate AI capabilities into real applications, deploy models using containerisation and cloud infrastructure, and create end-to-end solutions that solve genuine business problems.

ARCHITECT SCALABLE AI INFRASTRUCTURE AND DATA OPERATIONS

You'll design robust data engineering workflows that support AI at scale, implementing automated pipelines for data ingestion, transformation, and feature management while connecting enterprise systems to generative AI through vector databases and RAG architectures. You'll master MLOps practices for model lifecycle management, governance frameworks, and infrastructure-as-code deployments.

ENSURE AI RELIABILITY AND OPERATIONAL EXCELLENCE

You'll develop the expertise to monitor, troubleshoot, and optimise AI systems in production environments, implementing observability solutions, automated testing, and incident response procedures. You'll learn to balance performance with cost-efficiency, maintain system reliability under pressure, and apply DevOps principles specifically tailored for AI workloads – culminating in portfolio-ready projects that demonstrate your ability to build, deploy, and operate intelligent systems at enterprise scale.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from AI & machine learning 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 every role and every industry, and learning AI skills to enhance your role is no longer optional. General Assembly's courses in AI and machine learning provide live, cohort-based training that equips learners with the in-demand machine learning and AI skills to design, deploy, and maintain the AI systems that drive modern business transformation.
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.

Some courses are truly beginner-friendly. Others require certain experience and knowledge. 

Admissions requirements and recommended experience are explained in additional detail on each course webpage, as well as in the Student Catalog. Our Admissions team can discuss your background and learning goals to advise if the course (our courses) you’re interested in is a good fit for you.

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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