Career-focused Launchpad courses in Data Science, Data Analytics and AI Engineering that build the exact skills UK employers hire for — real projects, a 6-month internship, a verified GitHub portfolio, and dedicated placement support until you land the job. Every student gets a personal tutor and mentor from day one.
Expert-led training, a real internship, and placement support — each Launchpad course is engineered end-to-end to move you from complete beginner to employed data professional.
Become a job-ready data scientist with mentor-led training in Python, machine learning, deep learning, NLP, transformers and MLOps — then build a real portfolio and step into junior Data Scientist roles.
Instalments available when you enrol from a trial class.
Turn raw data into business decisions with hands-on training in Excel, SQL, Python, Power BI, statistics and business analytics — and graduate job-ready for junior Data Analyst and BI Analyst roles.
Instalments available when you enrol from a trial class.
Build and ship production GenAI and automation systems — LLMs, transformers, RAG, fine-tuning, agentic AI and AI pipelines — and graduate ready for junior AI Engineer and Automation Engineer roles.
Instalments available when you enrol from a trial class.
Every Launchpad includes a free trial class. No commitment — see the teaching before you enrol.
Real-time, interactive sessions with your tutor — not pre-recorded video.
Every student is assigned a personal tutor and mentor for guidance throughout.
Company-sourced projects that turn learning into a portfolio employers can see.
Real deliverables, documented and ready for technical interviews.
Course completion certificate and an internship experience letter for your CV.
CV, LinkedIn, interviews and weekly job recommendations, included at no extra cost.
Placement and job-recommendation support that continues until you land the role.
Updated materials, ongoing referrals, community and events — forever.
A structured, mentor-led career-launch programme that takes you from finished course to signed offer — profile optimisation, interview coaching, weekly tailored job recommendations, and salary negotiation support.
Automatically included the moment you enrol in a Data Scientist, Data Analyst or AI Engineer Launchpad.
Get the full placement programme without a full Launchpad — the complete career-launch support, standalone.
LinkedIn overhaul, GitHub optimisation, ATS-ready master résumé, and a premium portfolio website.
Group classes on interview structure and role-specific questions, plus two scored 1-on-1 mock interviews.
4 tailored job recommendations every week for 8 weeks (32 total), matched to your skills and location.
Ready-to-use negotiation scripts and email templates, plus a personalised 1-on-1 offer-strategy session.
Learn from data scientists, data analysts and AI engineers who've done the job. Every CadetX student is paired with a dedicated tutor and a personal mentor who support you from your first class to your first role.
Data Science & AI · Lead Tutor
Leads training across Python, machine learning, deep learning and AI, with a research background in data science.
Data Analysis & Placement Support
A dedicated placement mentor and Microsoft-certified trainer who guides students from first lesson to first job.
Data Analysis & Machine Learning
A Power BI specialist who turns messy data into decisions, with a decade of BI and analytics across global markets.
Real-time classes with working data professionals, every single session.
Personal support for every student — not a faceless course.
A genuine internship on company-sourced projects before you're hired.
CV, interviews, weekly job recommendations and direct partner referrals.
Technical skill, analytical reasoning and real workplace readiness.
Every Launchpad includes a free trial before you commit.
Everything you need to know about the CadetX Launchpad courses — pricing, internships, and job support.
They're built for complete beginners, career changers, and graduates who want to break into Data Science, Data Analytics or AI Engineering. No prior coding or industry experience is required — every Launchpad takes you from zero to job-ready.
No. You don't need a computer science degree or any coding background. If you're motivated and willing to put in the work, our tutors take you from the fundamentals through to advanced, employer-ready skills.
Classes are live and expert-led — real-time, interactive sessions with your tutor, not pre-recorded video. Every student is also assigned a dedicated tutor and a personal mentor for one-to-one guidance throughout.
Three career-launch Launchpads: the Data Scientist Launchpad (6 months, 36 sessions), the Data Analyst Launchpad (3 months technical training plus a 6-month internship, 36 sessions), and the AI Engineer / Automation Launchpad (3 months training plus a 6-month internship — LLMs, RAG, agents and automation).
Each Launchpad — Data Scientist, Data Analyst, and AI Engineer / Automation — is £899 for the full programme. The Job Ready Program is included free with any Launchpad, or available as a standalone plan for £499.
Yes. Instalment options are available when you enrol from a trial class — so you can spread the cost of your Launchpad.
Yes — every CadetX Launchpad includes a free trial class. You can experience the teaching and meet the format before you commit, with no obligation.
The Job Ready Program is our end-to-end placement programme: LinkedIn and GitHub optimisation, an ATS-ready CV, mock interviews, weekly tailored job recommendations, and salary-negotiation support. It's included free with any Launchpad course. If you've already trained elsewhere, you can take it on its own for £499.
Yes. Placement support continues until you're hired. Alongside the Job Ready Program, we recommend you directly to hiring companies in our partner network when a role matches your skills, location and experience — so you're not just applying into the void.
Yes. Every Launchpad includes a real internship on company-sourced projects, so you finish with genuine, documented experience and a portfolio employers can see — not just coursework.
Yes. You receive a course completion certificate plus an internship experience letter documenting your role, projects, skills and tools — ready to add to your CV and LinkedIn.
Yes. All Launchpads are 100% remote. CadetX is UK-based (Gateshead), and the programmes are open to learners worldwide.
Sessions are 90 minutes each, with project work and practice between them. The programmes are structured to fit alongside study or work, and because classes are live you get real-time support as you learn.
Choose the Data Analyst Launchpad if you want to work with SQL, Excel and Power BI to drive business decisions; the Data Scientist Launchpad if you want to build machine learning and AI models; and the AI Engineer / Automation Launchpad if you want to build and ship LLM, RAG and automation systems. Not sure? Start with a free trial and we'll help you pick.
Across the Launchpads you'll work with Python, SQL, Excel, Power BI, Git/GitHub, machine learning and AI libraries (Scikit-Learn, PyTorch, TensorFlow, HuggingFace), and modern GenAI tooling (LLMs, RAG, LangChain, agents) — the exact stack UK employers hire for.
Yes. You become a permanent member of the CadetX alumni network with lifetime portal access, updated course materials, ongoing job referrals, and invitations to events and webinars.
6 months · 36 sessions (90 mins) · Internship from Month 4 · Placement from Month 6 · Lifetime alumni access
Python Part 1–8 (orientation, syntax, data types, loops, functions, data structures, OOP, file & exception handling, debugging), NumPy (arrays & vectorised computing), Pandas (DataFrames & data cleaning), Git & GitHub version control.
Descriptive statistics, probability & distributions, sampling & hypothesis testing, SQL for Data Science (relational databases, filtering, aggregations, multi-table JOINs, subqueries, CTEs, window functions).
Exploratory Data Analysis (EDA mindset & distributions), Matplotlib & Seaborn statistical plots, feature encoding & scaling, feature creation, sklearn pipelines & ColumnTransformer, capstone EDA project.
Supervised learning (regression, classification, decision trees, random forest), cross-validation & hyperparameter tuning, unsupervised clustering & PCA, time-series foundations, deep learning & ANN intuition, NLP & text classification.
Building an interactive Streamlit data science application, venv & requirements, cloud deployment, deployment logging & model drift intuition.
Python · Git/GitHub · NumPy · Pandas · Scikit-Learn · XGBoost · LightGBM · PyTorch · TensorFlow · HuggingFace · FastAPI · SQL · MLflow · Docker · AWS / GCP / Azure
3 months technical · 36 sessions (90 mins) · 6-month internship after training · Placement support · Lifetime alumni access
Data fundamentals, introduction to data & analytics, Excel (core formulas & lookups → dashboards), Git & GitHub for analysts.
Python (basics → working with data), data cleaning with Pandas, SQL (foundations → advanced window functions), statistics (descriptive & inferential).
EDA, Power BI (Desktop → Power Query → data modelling → DAX → dashboard design → Service → real-world project), business analytics & KPIs, machine learning for analysts, AI tools for analysts, data ethics, domain analytics & experimentation.
Excel · Google Sheets · Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn) · SQL (MySQL / PostgreSQL) · Power BI · Plotly · ChatGPT · Microsoft Copilot · Git/GitHub
3 months training · 6-month internship · project-based · Placement support · Lifetime alumni access
Transformer architecture (attention, self-attention, encoder/decoder), tokens, embeddings & positional encoding, context windows & inference, proprietary vs open-weight models, prompt engineering (zero/few-shot, structured), HuggingFace Transformers, function calling & structured outputs, LLM pipelines, prompt chaining, guardrails, cost optimisation. Project: multi-step LLM workflow.
RAG architecture, chunking strategies, embeddings & vector stores (FAISS, Chroma, LlamaIndex, LangChain), semantic vs keyword search, reranking, metadata filtering, Graph & multimodal RAG, fine-tuning (SFT, LoRA, QLoRA, PEFT), distillation & quantisation. Projects: cited QA RAG system; fine-tune a small LLM.
Agents vs workflows, planning / routing / memory, tool use, ReAct & reflection, single vs multi-agent (LangGraph, CrewAI, AutoGen), human-in-the-loop, Model Context Protocol (MCP), REST APIs, ETL/ELT pipelines, scheduling & orchestration, deployment, containerisation, monitoring. Projects: controlled tool-using agent; AI automation microservice.
LLMs · Transformers · Generative AI · RAG · Vector Databases · Fine-Tuning · LoRA / QLoRA · Agentic AI · LangChain · LangGraph · MCP · AI Automation · MLOps