Artificial Intelligence Training in London – Generative AI, LLMs, RAG & AI Agents

SoftPro9 runs Artificial Intelligence & Generative AI training as live online batches in UK time, for learners in the City, Canary Wharf, Shoreditch and across London.

  • Covers: Python, PyTorch, Hugging Face, OpenAI API, Anthropic Claude API, Google Gemini API, Ollama, LangChain and more
  • Mode: Live online in UK time
  • New batches: Every Monday and Thursday; UK time slots 8 AM / 3:30 PM / 6 PM
  • Duration: 20–24 weeks at 10–12 hours a week, including an AI product capstone
  • Fee: The current fee is listed on the Artificial Intelligence & Generative AI course page: /course/artificial-intelligence-ai-training-course. Any cloud AI certification exam is optional and paid directly to the exam provider.
  • Batch size: Up to 15 learners
  • Practice: Cloud GPU notebooks, API credits for practice models and your own GitHub repositories

Last updated: 28 October 2026

Artificial Intelligence course in London: basic to advanced

London has one of Europe's largest AI sectors, and employers expect responsible-AI practice under UK GDPR. The course is split into three levels. You can join at the level that matches your experience after a short assessment at counselling.

Basic

AI foundations

  • What AI, machine learning, deep learning and generative AI each mean
  • Python for AI: NumPy, pandas, Jupyter and API calls
  • Core ML ideas: training, validation, overfitting, evaluation
  • Neural networks, activation functions and backpropagation
  • Building and training networks in PyTorch
  • Working with text, image and audio data

London practice: UK GDPR and consent practice in web and data exercises.

Intermediate

Deep learning and language models

  • CNNs and computer vision: classification and object detection with YOLO
  • Embeddings, attention and the transformer architecture
  • Hugging Face Transformers: using and fine-tuning pretrained models
  • Prompt engineering: system prompts, few-shot, structured outputs
  • Working with LLM APIs (OpenAI, Anthropic Claude, Google Gemini) and open models (Llama, Mistral) via Ollama
  • Speech-to-text with Whisper and text-to-speech basics
  • Token costs, latency and choosing the right model

London practice: Accessibility to WCAG 2.2 AA, as UK public-sector sites require.

Advanced

Building AI products

  • Retrieval-augmented generation (RAG): chunking, embeddings, vector databases (Chroma, pgvector, Pinecone)
  • LangChain and LlamaIndex for AI pipelines
  • AI agents: tool calling, function calling, the Model Context Protocol (MCP) and multi-step workflows
  • Fine-tuning with LoRA/QLoRA
  • Evaluating LLM apps: test sets, LLM-as-judge, hallucination checks
  • Guardrails, privacy, prompt-injection defence and responsible AI
  • Deploying AI apps with FastAPI, Streamlit and Docker
  • Cloud AI platforms: Azure OpenAI, AWS Bedrock and Google Vertex AI

London practice: UK date formats, postcodes and the April–April tax year.

Who joins from London

  • Finance and insurance staff in the City and Canary Wharf
  • Career changers building a portfolio for tech roles
  • Developers adding data or modern front-end skills

Roles it typically leads to in London

  • AI engineer / GenAI engineer
  • LLM application developer
  • Machine-learning engineer
  • Computer-vision engineer
  • AI solutions or prompt engineer

Freshers usually start in junior or support versions of these roles.

Artificial Intelligence & Generative AI – full course details and fee →

Tools you will use

Every tool below is used hands-on in class or in a project, not just mentioned on a slide.

  • Python
  • PyTorch
  • Hugging Face
  • OpenAI API
  • Anthropic Claude API
  • Google Gemini API
  • Ollama
  • LangChain
  • LlamaIndex
  • Chroma
  • pgvector
  • Pinecone
  • YOLO
  • Whisper
  • LoRA / QLoRA
  • FastAPI
  • Streamlit
  • Docker
  • Azure OpenAI
  • AWS Bedrock
  • Google Vertex AI
  • Git & GitHub

Projects you will build

  1. A document question-answering assistant using RAG over a set of company policies, with an evaluation set

  2. An AI agent that uses tools (search, calculator, database) to complete multi-step tasks

  3. An object-detection app for images or video using YOLO

  4. A capstone AI product deployed as a web app with guardrails, logging and cost tracking

  5. London project: A GDPR-aware customer-support assistant with PII redaction, using data and conventions from London.

Upcoming London Artificial Intelligence batches

New batches start every Monday and Thursday, with no more than 15 learners in each. Weekday class slots in UK time: 8 AM / 3:30 PM / 6 PM. Weekend slots: 10 AM / 5 PM. Times shown are for winter; they move one hour when clocks change.

The early-morning and evening UK-time slots fit around a standard working day.

Start dateCourseModeBatch size
Thu, 29 Oct 2026Artificial Intelligence (all levels)Live onlineUp to 15
Mon, 2 Nov 2026Artificial Intelligence (all levels)Live onlineUp to 15
Thu, 5 Nov 2026Artificial Intelligence (all levels)Live onlineUp to 15
Mon, 9 Nov 2026Artificial Intelligence (all levels)Live onlineUp to 15

Message us with the start date and slot you want, and we will confirm your seat.

Reserve on WhatsApp

Artificial intelligence in brief

Artificial intelligence is the broad field of building systems that perform tasks we associate with human intelligence: understanding language, recognising images, reasoning over documents and taking actions. Machine learning is the main technique behind modern AI, and large language models (LLMs) are its most visible recent result.

This course is about building with AI, not just using chatbots. You learn how neural networks and transformers work, then build real applications on top of LLMs: retrieval-augmented generation (RAG) over company documents, AI agents that call tools, fine-tuned models, vision and speech features, with evaluation, guardrails and cost control so they are safe to put in front of users.

Why artificial intelligence skills matter in London

London is Europe's largest financial centre and one of its biggest technology hubs: banks and insurers in the City and Canary Wharf, fintech and startups around Shoreditch and King's Cross, and public-sector digital teams. Employers value clean, tested code, accessibility and a clear explanation of your work.

Who hires in London

  • Banking, insurance and fintech

    The City and Canary Wharf host global banks, insurers and many fintechs.
  • Technology and startups

    Shoreditch, King's Cross and the wider tech scene, including AI companies.
  • Public sector digital

    Government digital services and the NHS, which follow strict accessibility and design standards.
  • Retail, media and consulting

    Retailers, broadcasters and consultancies with large data and web teams.

UK context you will work with

Generic courses use generic datasets, and interviewers notice. Our exercises include:

  • GBP pricing and 20% VAT in invoice data
  • UK GDPR and consent practice in web and data exercises
  • Accessibility to WCAG 2.2 AA, as UK public-sector sites require
  • UK date formats, postcodes and the April–April tax year
  • Clock changes (GMT/BST) in time-series data

How to choose the right Artificial Intelligence track

Your backgroundStart withWhy
Software developerFull courseAI engineering is mostly software engineering around models
Data scientist or ML engineerLLMs, RAG and agentsAdd generative AI to your modelling skills
New to programmingPython firstEvery AI project here is built in Python
Business or product professionalAI foundations and prompt engineeringUnderstand what AI can and cannot do before leading AI projects
Interested in classic predictive modelsMachine Learning courseThat course goes deeper on algorithms and MLOps

Common pairings: Artificial Intelligence + Python (if you are new to coding), Artificial Intelligence + Machine Learning (for a deeper modelling base), and Artificial Intelligence + Web Development (for building full AI products). Learn one course well before adding a second.

From course to first role: a realistic path

  1. Master the ai foundations before moving on.

  2. Build and publish your projects, including the London capstone.

  3. Apply for entry roles such as ai engineer / genai engineer or llm application developer with employers like the banking, insurance and fintech above.

Honest note: freshers usually start in junior or trainee roles, and salaries in London vary too widely for a headline figure. Ask us which openings we are seeing.

Artificial Intelligence certification: what we cover and what we issue

There is no single official AI certification. Optional vendor exams include Microsoft Azure AI Engineer Associate (AI-102), AWS Certified AI Practitioner and Google Cloud generative AI certifications; they are paid directly to the vendor and are not part of our fee. SoftPro9 issues a course completion certificate. AI hiring today is driven mainly by working projects you can demo.

What to check before choosing a Artificial Intelligence institute in London

  • A 2026 syllabus: look for Streamlit, Docker, Azure OpenAI, AWS Bedrock, not only the basics.

  • Projects on your own accounts, a trainer you can meet first, and a published fee with nothing hidden.

  • No "global certification" or "100% placement" claims: vendors run their own exams, and nobody can promise a job.

How our Artificial Intelligence classes work

  • Taught from Bangalore

    Classes are taught live by the same trainers who teach our Bangalore classroom, streamed to London in UK time.
  • Live, with recordings and reviews

    Live sessions in UK time, recordings for revision, and project reviews from the trainer. Cloud GPU notebooks, API credits for practice models and your own GitHub repositories.
  • Interview preparation

    Mock interviews, resume reviews and referrals to London and remote openings we hear about. We do not guarantee a job.

Artificial Intelligence training across London: which option suits your area

AreaWhereMost learners choose
The City, Canary WharfCentral / eastLive online, evening slots
Shoreditch, King's Cross, CamdenCentral / northLive online
Croydon, Wimbledon, RichmondSouth / westLive online, weekend batches
Stratford, Ilford, Harrow, WembleyOuter LondonLive online

London batches are live online in UK time (times shift with GMT/BST); there is no classroom in London.

Where your classes come from

London batches are live online. They are run from our Bangalore centre, which you are welcome to visit if you are ever in the city.

SoftPro9 IT Services – Bangalore
22/1, Opp Infosys, BHBCS Layout, BTM Layout 2nd Stage, BTM Layout, Bengaluru, Karnataka – 560076

Phone: +91 95354 51414

Getting here

We are in BTM Layout 2nd Stage, opposite the Infosys office. The nearest metro is Jayadeva Hospital station, about a 10-minute walk away, and BMTC buses on the Outer Ring Road and Bannerghatta Road stop nearby.

Opening hours

Monday–Friday 9:30 AM–7:30 PM · Saturday 9:30 AM–3:30 PM · Sunday closed

Get directions

Artificial Intelligence training in London: frequently asked questions

How much does Artificial Intelligence training cost in London?

The current training fee is listed on the Artificial Intelligence & Generative AI course page: /course/artificial-intelligence-ai-training-course. It covers live classes, the practice environment, projects and interview preparation. Any cloud AI certification exam is optional, not included, and paid directly to the exam provider.

Is this just a ChatGPT or prompt-writing course?

No. Prompt engineering is one module. Most of the course is building: neural networks, RAG systems, agents, fine-tuning, evaluation and deployment.

Which AI models will I use?

Commercial APIs (OpenAI, Anthropic Claude, Google Gemini) and open models (Llama, Mistral) run locally or in the cloud, so you learn to choose between them on quality, cost and privacy.

Do I need to pay for AI API access?

Practice credits for class exercises are provided. For your own projects after the course, many providers have free tiers or low-cost options we show you.

How is AI different from Machine Learning here?

Machine Learning focuses on predictive models and MLOps. Artificial Intelligence focuses on generative AI: LLMs, RAG, agents, vision and speech.

Is there a classroom in London?

No. London learners join live online batches in UK time, with recordings and a 15-learner cap.

Is the course regulated or eligible for UK student finance?

No. It is a private professional course and not eligible for UK student finance.

When does the next batch start?

New Artificial Intelligence batches start every Monday and Thursday. See the batch table on this page for the next dates and UK time class slots.

Do you guarantee placement?

No. We provide interview preparation, resume help and referrals to openings we hear about in London, but no institute can honestly guarantee a job.

Talk to us about your Artificial Intelligence course

Tell us your degree, your current job (if any) and where in London you are. We will suggest a track and a batch that fits.