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APPLIED AI & DEEP LEARNING IN ACTION COURSE: LONDON

Attention UK Python pros: Gain the practical skills and confidence to bring applied AI into your role or career path with our Applied AI & Deep Learning in Action course. Master PyTorch, transformers, and deployment practices while building labs and a capstone project that demonstrate real AI engineering capability. 

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Learn in-demand skills to thrive in the AI era. Tell us a little about you and we’ll get in touch with more info.

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OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

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Build your AI and machine learning foundation

This course is one of four courses in the AI & Machine Learning pathway, designed to help learners understand, build, and apply machine learning models in real-world contexts.

You can take this course on its own, or complete the full pathway to deepen your understanding of machine learning concepts, model development, and applied AI techniques.

More courses in this pathway:

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PURCHASING MADE EASY

The total cost of this course is £2,500.

When you enroll in two eligible courses, you become eligible for a bundle discount that allows you to take the remaining two courses at no additional tuition and fee costs.

The bundle discount applies only after enrollment in two qualifying courses. Students must enroll in the four courses individually and are charged applicable tuition and fees after enrollment occurs.

Bundle eligibility, course availability, and timing are subject to terms and conditions.

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

As low as £625.

Apply for a 0% interest payment plan from EdAid

Pay your balance over 9 installments 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 installments 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.

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Check out all the ways we help make careers in tech accessible to all.

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Show off your new skills

Complete your course, get your badge, and add it to your LinkedIn profile to showcase your new skills to your network.
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Who’s this for?

This course is for UK-based professionals with solid Python programming skills who want:

  • To specialize in AI/ML through intensive, hands-on technical training (not an introductory overview)
  • Learning with structured instruction, labs, and real-time expert guidance
  • A portfolio of projects that demonstrate production-ready AI capabilities.
  • The skills to target AI engineer, ML engineer, and AI solutions architect roles
  • To work with modern tools (PyTorch, transformers) used in actual AI engineering positions

TECHNICAL SETUP

 

  • Laptop with administrator access
  • 13"+ screen, 8GB RAM, and 40GB free storage
  • Stable internet with dual-monitor setup and webcam for online sessions
  • Full technical setup guide and support provided after enrollment

RECOMMENDED EXPERIENCE

  • Prior experience using Python and basic programming concepts 
  • Self-taught coding skills, data analysis exposure, or related coursework
  • Comfortable writing simple scripts and eager to deepen AI skills
  • Ready to advance into deep learning applications
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BRING YOUR OWN AI 

Take this course using any major AI tool. No premium subscriptions required.


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Course Agenda

  • Master Python, Git, and core ML workflows for AI development
  • Build baseline models using logistic regression and gradient descent
  • Establish the foundation for deep learning architectures
  • Implement neural networks from scratch using PyTorch and Hugging Face
  • Experiment with CNNs, RNNs, transfer learning, and advanced optimization techniques
  • Build production-ready models with proper training, regularization, and performance tuning
  • Apply transformer architectures for text analysis, summarization, and translation
  • Work with embeddings, pipelines, and modern NLP frameworks
  • Evaluate and benchmark language models for accuracy, speed, and bias
  • Deploy AI solutions responsibly with ethics, security, and fairness considerations
  • Build end-to-end systems using LangChain and vector databases for Q&A applications
  • Complete your capstone project demonstrating production-ready AI engineering capabilities

WHAT MAKES THIS PROGRAM DIFFERENT 

✓ Intensive, live cohort learning: Learn with a structured group of professionals in the UK and across the globe who share your goals. Get real-time answers from expert instructors during live sessions.

✓ Production-ready tool stack: Learn the tools that AI engineers actually use in production, like PyTorch, Hugging Face, and LangChain. Every tool you learn is actively used in real AI engineering roles today.

✓ Build complete AI systems: Go beyond isolated Jupyter notebooks and create end-to-end solutions including data pipelines, model deployment, and responsible AI considerations.

✓ Workplace-relevant application: Master the architectures powering today's AI breakthroughs and learn to build AI systems that are not only powerful, but responsible.

AI IS CHANGING WORK—WE HELP YOU STAY AHEAD 

  • 26%

    AI engineer projected job growth from 2023–2033

    (Source: U.S. Bureau of Labor Statistics, 2023)

  • 56%

    wage premium for AI-skilled workers

    (Source: PwC Global AI Jobs Barometer, 2025)

  • 94%

    of firms expect AI and information processing tech to transform their operations in the next 5 years

    (Source: World Economic Forum, 2025)

KEY TAKEAWAYS  

You'll leave this course with these AI skills under your belt:

BUILD PRODUCTION-READY NEURAL NETWORKS

You'll master PyTorch, Hugging Face, and torchvision to implement everything from simple feedforward networks to advanced CNNs and RNNs, using transfer learning and optimization techniques that deliver real-world performance at scale.

DEPLOY MODERN NLP AND TRANSFORMER SYSTEMS

You'll work with state-of-the-art transformer architectures to build sentiment analysis, summarization, and translation applications, while learning to evaluate models for accuracy, cost, and bias in production environments.

ENGINEER COMPLETE AI SOLUTIONS

You'll design and deploy end-to-end AI systems using LangChain and vector databases, applying responsible AI practices that balance technical performance with ethical considerations, security, and fairness—culminating in a portfolio-ready capstone project.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from AI-fluent pros who bring hands-on experience straight from the field to the classroom. Every GA instructor in the UK and across the globe is committed to giving the personalised feedback and support you need to crush your goals every step of the way.
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GET MORE INFO

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

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Our admissions team is here to help.

QUESTIONS? WE'VE GOT ANSWERS.

In the UK and everywhere, AI is reshaping every role and every industry, and learning AI skills to enhance your role is no longer optional. Applied AI & Deep Learning in Action is an intensive 32-hour online course that transforms professionals with Python experience into skilled AI practitioners. Students master the complete deep learning stack—from neural network fundamentals through advanced architectures like CNNs, RNNs, and transformers—using industry-standard tools including PyTorch, Hugging Face, and LangChain. Through hands-on projects in computer vision and NLP, learners build portfolio-ready AI solutions while developing the responsible deployment practices demanded by today's AI engineering roles.
Yes. When you pass this course, you’ll receive a LinkedIn-verified digital badge. Thousands of GA alumni in the UK and around the world use their course badge 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.

We recommend prior Python experience and basic programming knowledge for this applied AI and deep learning course.

Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.

Applied AI & Deep Learning in Action is the intensive, hands-on course that takes Python developers from AI-curious to AI-capable. You’ll get to build production-ready deep learning solutions with the exact tools (PyTorch, Hugging Face, LangChain) and architectures (CNNs, transformers, RAG systems) that top AI companies demand—backed by portfolio projects that demonstrate real engineering capability.

Key learning outcomes include:

  • Building and optimizing neural networks using PyTorch and deep learning frameworks
  •  Implementing advanced architectures (CNNs, RNNs, transformers) for real-world applications
  • Applying NLP techniques and transformer models for text analysis, summarization, and translation
  • Deploying AI solutions responsibly with consideration for ethics, security, and bias
  • Developing end-to-end AI systems using LangChain and vector databases for QA
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 course is right for you and your learning goals. You can also:

*Course modality options vary by location, pending market availability and eligibility. Please contact our Admissions team to discuss course eligibility and 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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