// training
Upskill your team on the modern stack.
Expert-led, hands-on programmes taught by the same engineers who build production systems. Tailored to your stack and delivered on-site or remote.
1,000+ students taught
// course catalogue
Programmes we deliver.
Python for Data Engineering
- +Data pipelines with pandas & polars
- +Testing, packaging, and CI
- +Building production-quality ETL scripts
Cloud Platforms (AWS / Azure / GCP)
- +Infrastructure-as-Code with Terraform
- +Networking and security fundamentals
- +Managed data & ML services
Containers & Orchestration
- +Docker fundamentals & best practices
- +Kubernetes deployments & services
- +Helm charts and GitOps workflows
Data Pipelines & Streaming
- +Kafka, Spark, Airflow, dbt
- +Real-time vs batch architectures
- +Data quality and observability
Machine Learning Fundamentals
- +scikit-learn & model evaluation
- +Feature engineering strategies
- +From notebook to reproducible pipeline
MLOps & Production ML
- +Model serving & inference APIs
- +Experiment tracking (MLflow, W&B)
- +CI/CD for ML pipelines
// how it works
Tailored to your team, start to finish.
01
Discovery call
We discuss your team's current skill levels, tech stack, and learning objectives.
02
Custom curriculum
We design a tailored programme with relevant exercises and real-world scenarios.
03
Delivery & follow-up
Hands-on sessions delivered on-site or remotely, with post-training support and resources.
Build a programme for your team.
Tell us your stack and goals — we'll tailor the curriculum.
Enquire about training →