synetalsolutions-learningportal.co.uk
Applications open — IT Programme
Become a Certified Artificial Intelligence Engineer
Learn to build, train, and deploy machine learning models the way modern AI teams actually work — through live classes, hands-on labs in Python and real ML frameworks, and career support built in.
18 WeeksProgramme Length
Live OnlineClass Format
Industry CertOn Completion
1:1 SupportCareer Coaching
0
Epoch / 50
0.89
Loss
0%
Accuracy
>>>model.generate(prompt="Summarize customer feedback")
response generated in 340ms
Hands-on labs building real ML models
What You'll Learn
Practical AI Skills, Not Just Theory
Every module is built around real datasets, real model training, and real deployment scenarios.
Python for AI & Data Science
Core Python, NumPy, and pandas as the foundation for everything that follows.
Machine Learning Fundamentals
Supervised and unsupervised learning, model evaluation, and feature engineering.
Deep Learning & Neural Networks
Build and train neural networks with TensorFlow and PyTorch.
Natural Language Processing
Work with text data and modern language model techniques.
Model Deployment & MLOps
Take a model from notebook to production, and monitor it once it's live.
Responsible & Ethical AI
Bias, fairness, and data privacy considerations in real AI systems.
Curriculum
A Structured Path From Basics to Job-Ready
Python programming essentials, working with data using NumPy and pandas, and data visualisation basics.
Regression, classification, clustering, and how to evaluate whether a model is actually working.
Build neural networks from scratch, then train them using TensorFlow and PyTorch — the same architecture visualised in the hero panel above.
Text preprocessing, embeddings, and working with modern transformer-based language models.
Package, deploy, and monitor a trained model as part of a real production-style pipeline.
Certification exam preparation, portfolio project review, CV and interview coaching.
Tools You'll Work With
Hands-On With Real Industry Tools
Python
Jupyter Notebook
TensorFlow
PyTorch
scikit-learn
Hugging Face
MLflow
Career Outcomes
Where This Training Can Take You
AI Engineer
Entry-level UK salary range
Build, train, and integrate machine learning models into real applications.
Machine Learning Engineer
Entry-level UK salary range
Take models from research to production and keep them running reliably.
Data Scientist
Progression role after experience
Analyse data and build models to drive real business decisions.
Entry Requirements
Who This Programme Is For
- No prior programming experience required — Python is taught from the ground up.
- Comfortable with basic maths concepts; deeper theory is explained as you go.
- Reliable internet access for live online classes and hands-on lab environments.
- A genuine curiosity about how AI systems learn from data and make decisions.