Data Science + Agentic AI
Python, data engineering, statistics and machine learning, then AI agents that plan, use tools and act on your models — taught live by people who do the job.
- TEACHING
- 12 months
- PLACEMENT SUPPORT
- 3 months
- FORMAT
- Live · Saturday & Sunday
- CLASS SIZE
- 24, never more
- NEXT INTAKE
- 31 Oct 2026
- FEE
- £3,499
Is this the right course for you?
This is for you if…
- You are changing career and want a portfolio, not a single project.
- You can commit two live sessions a week for twenty-four weeks.
- You want a named mentor you meet one-to-one every week.
This is not for you if…
- You already do this job — it will cover ground you have.
- You need a regulated qualification for visa or professional registration. This is not one.
- You cannot attend live sessions. The recordings are a backup, not the format.
Twenty-four weeks, module by module
No competitor in this market publishes module-level detail. We do, because it is the thing you are actually buying.
- Weeks 1–4Python and AI-assisted programmingPython, NumPy and pandas, Git and APIs, with AI coding tools used properly. Ends in a data-cleaning project on GitHub.PYTHON · GIT
- Weeks 5–8SQL, data engineering and cloudAdvanced SQL, ETL, star schemas, dbt, Docker and Airflow on a cloud warehouse. Ends in an automated pipeline.SQL · DBT · AIRFLOW
- Weeks 9–11BI and business metricsPower BI and DAX, KPI trees, churn, cohorts and LTV, told as a story a stakeholder acts on.POWER BI · PLOTLY
- Weeks 12–14Statistics, experiments and forecastingHypothesis and A/B testing, then demand forecasting with ARIMA and Prophet.PYTHON · PROPHET
- Weeks 15–18Machine learning and deploymentRegression, XGBoost and clustering, explained with SHAP, tracked in MLflow and served through FastAPI.SCIKIT-LEARN · MLFLOW
- Weeks 19–22GenAI, RAG and agentic AIRetrieval over your documents, tool calling and agents that plan and act on your models — tested before anyone trusts them.LANGGRAPH · CREWAI
- Weeks 23–24CapstoneAn end-to-end AI business solution, pitched to an industry panel.ALL
You finish with work you can show, and people you can name.
Dr Naomi Clarke
Lead Data Scientist, Halden Systems
Teaches weeks 1–18
Marcus Bell
Analytics Manager, Northgate
BI, capstone and mock interviews
Next intakes for Data Science + Agentic AI
- 31 Oct 202624 of 24 places leftEnrol Now
Pay in full
£3,499
Instalments
10 monthly payments of £349.90, no interest
Employer sponsorship
We invoice your employer directly
Refund
Full refund to end of week two
Asked before every Data Science + Agentic AI cohort
Do I need to know how to code before I start?
No. Weeks one to four teach Python from the beginning, with AI-assisted coding alongside. What you do need is to put the practice hours in between sessions — roughly eight to ten a week.
How much maths is there, honestly?
Less than a university course, more than a bootcamp. You need to be comfortable with percentages, averages and reading a chart. We teach the statistics you need in weeks twelve to fourteen from first principles — no calculus, no proofs.
What does “agentic AI” add?
Weeks nineteen to twenty-two. Once you can build, explain and deploy a model, you learn to put an AI agent in front of it — one that plans, calls your models and data as tools, and is tested before anyone relies on it.
Can I choose the industry for my capstone?
Yes. Your capstone is shaped around the industry you want to work in — technology, finance, banking, healthcare, hospitality and travel, consulting, retail, or supply chain and operations — with real-world-style data and a portfolio-ready result.
What happens if I do not pass the capstone?
You get detailed feedback from both assessors and one resubmission at no cost, normally four weeks later. If it still does not meet the standard we will tell you plainly and you keep your placement support either way.
Can I switch to a shorter course if this is too much?
Yes, up to the end of week six. We move you to the next Data Analytics cohort on the Professional Programme and refund the difference in fees. It happens a few times a year and it is not a problem.
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