ML Training • Updated Aug 2026
✓ Understand core Machine Learning concepts, including supervised, unsupervised, and deep learning
✓ Build, train, and evaluate ML models using Python, Scikit-learn, and TensorFlow
✓ Apply feature engineering and data preparation techniques for reliable model performance
✓ Develop predictive analytics solutions for real-world business problems
✓ Train and deploy models using Azure Machine Learning and Azure Databricks
✓ Understand neural networks and deep learning fundamentals
✓ Evaluate and tune models to improve accuracy and reliability
✓ Move from notebooks and prototypes to production-ready ML solutions
Courses matched to your background and what you need to build.
🧑💻Software Developers
Build and integrate ML models into applications using Python. Learn the fundamentals of model training, evaluation, and deployment alongside existing development workflows.
🏗️Solutions Architects
Design scalable ML architectures, choose between Azure Machine Learning and Azure Databricks, and define patterns for deploying and operating models in enterprise environments.
📊Data Scientists & ML Engineers
Build deep technical skills in Python, Scikit-learn, TensorFlow, and deep learning. Cover the full pipeline from data preparation and feature engineering through to model deployment.
🏢Business & IT Teams
Understand what Machine Learning can do for your organisation, how predictive analytics works, and where ML fits alongside other AI investments — no coding required.
🔒DevOps & Platform Engineers
Understand how ML models are trained, deployed, and operated at scale, including MLOps considerations for Azure Machine Learning and Databricks environments.
👔Technical Leaders
Understand Machine Learning capabilities, use cases, and technical trade-offs so you can make informed decisions on ML adoption and brief technical teams.
Whether you're beginning your ML journey or looking to advance your technical expertise, this course group provides a complete learning pathway to help you understand how ML works and how to build practical ML applications fit for the enterprise.
★★★★★ "A genuinely practical course. We came in with a rough idea of predictive analytics and left with a working model trained on our own data."
Data AnalystInsurance Sector, London
★★★★★ "Excellent depth on feature engineering and model evaluation — areas that are often skipped in other ML courses."
Data ScientistTechnology Sector, London
★★★★★ "The Azure Machine Learning content was directly applicable. We were deploying models to our own environment within days of the course."
ML EngineerPublic Sector, Manchester
Instructor-led interactive sessions delivered remotely. Same hands-on labs, same expert trainer — no travel required.
Attend scheduled public courses at our London training centre. Network with peers from across the industry.
We come to you. Ideal for teams of 5+. Content can be customised to your stack, use cases, and objectives.
Multi-module Machine Learning programmes designed around your organisation's current capability and target outcomes.
CONTACT
+44 (0)20 8446 7555
enquiries@jbinternational.co.uk
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