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Technical Training Courses for Companies

Courses on frontend, backend, cloud, DevOps and AI tooling, delivered by the people who use those same tools every day on client projects. On-site, remote or hybrid.

Technical training built on the team's real work

Technical training works when it starts from where the team actually is, not from a syllabus decided in the abstract. That is why the catalogue below lists the topics, but the course is built after an alignment call with the technical lead: we establish the starting level, the stack actually in use and the concrete problem that created the need — a team taking over an existing React application needs something different from a team evaluating a move to Kubernetes.

Training is delivered by people who work with the same tools on client projects, following the same software development method we apply internally. That is why questions about edge cases get answers grounded in direct experience rather than only in the official documentation.

Training course on React, Next.js and Node.js

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Frontend and backend

The frontend course covers React, Next.js and TypeScript: component composition and state management, server-side rendering, typing, performance and accessibility. It is aimed at teams who have to maintain and evolve real applications, so it also tackles what introductory courses leave out — how to structure a project meant to last, how to stop state becoming unmanageable, how to read a rendering problem. The backend course works on Node.js and on designing REST and GraphQL APIs, authentication and authorization, error handling and observability, with particular attention to integration with business systems and ERPs already present in the company: it is the most common scenario in SMEs, and also where most mistakes are made.

Training course on Docker, Kubernetes and CI/CD

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Cloud and DevOps

The cloud and DevOps course starts from containerization with Docker and reaches orchestration with Kubernetes, covering build and release pipelines, configuration and secret management and environment monitoring. The material comes from our real projects on Kubernetes and Talos OS and from the CI/CD pipelines we keep in production, so it also includes the uncomfortable parts: what happens when a release goes wrong, how to read a cluster that is not behaving as expected, what complexity Kubernetes introduces and when adopting it is not worth it. For teams evaluating a migration, this part is often the most useful of the whole course.

Training course on AI tooling for development teams

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AI tooling for developers

The course on AI tools for technical teams covers the effective use of coding assistants: how to frame useful requests, how to fit them into the daily workflow and — above all — how to critically review what they produce. A substantial part is devoted to limits and risks, because that is where the real problems concentrate: plausible but wrong code, invented dependencies, and the implications for source code confidentiality and company data protection when external services are involved. For governance, internal policy and compliance around the wider use of AI in the company, the reference remains our dedicated consulting track.

business impact

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Less dependence on external suppliers

An internal team able to work on its own software reduces the number of jobs that have to be contracted out. It is not about replacing the technical partner, but about moving the boundary: routine changes stay in-house and the supplier is brought in where specialist expertise is genuinely needed.

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Better-informed technical decisions

A good share of hidden costs comes from decisions taken without knowing the alternatives: adopting a tool because it is fashionable, or ruling one out through unfamiliarity. A trained team weighs the trade-offs knowingly, and can also recognise when the right choice is to adopt nothing at all.

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Smoother handovers

When a project developed with us passes to the internal team, training is what makes the handover real rather than formal. The delivered code is yours: the difference between owning it and actually being able to evolve it lies in the skills of the people receiving it.

Format, duration and course organisation

Courses are delivered on-site, remotely or in a hybrid format. On-site, you work directly on the company's own code and environments, which makes the exercises immediately applicable; remotely, it is easier to spread sessions across several weeks without taking whole days away from work. For teams across multiple sites, hybrid is usually the most practical.

Duration and schedule are not fixed in the catalogue, because they depend on the starting level and the objectives: we define them together during the alignment call and put them in writing in the syllabus, along with the learning objectives, before we start. That document is also what you need if you intend to submit the training plan to an interprofessional fund.

If the need concerns the use of AI across the whole company rather than just the technical team — internal policy, data security, department-level use cases — the relevant track is AI training for employees, part of our AI consulting. On the technical content, the catalogue above draws on the same skills described on our React development, Node.js development and cloud architectures with Kubernetes and Docker pages.

Frequently asked questions about corporate technical training

Are the courses held on-site or remotely?

Both are possible, as is a hybrid format. On-site, the advantage is being able to work directly on the company's own code and environments; remotely, it is easier to spread sessions across several weeks without taking whole days away from work. For teams split across sites, the hybrid format is usually the most practical. Codebaker is based in Bologna and mainly works with companies in Emilia-Romagna, but remote training has no geographical constraints.

Are the syllabuses standard or tailored to our stack?

The catalogue lists the topics, but the syllabus is built for the specific case after an alignment call with the technical lead. We start from the team's real level and the stack actually in use: a Kubernetes course for people already releasing to production is a different thing from one for a team still evaluating the migration. Where possible we use exercise material close to your own scenarios rather than generic examples.

Can the courses be funded through Italian interprofessional funds?

Corporate training is generally fundable through the interprofessional fund the company subscribes to, but eligibility and procedures depend on the specific fund and on the training plan submitted. We do not handle the paperwork directly: we provide the course documentation (syllabus, duration, learning objectives) in the required form, so you can submit it through your own consultant or fund.

Who delivers the training?

Training is delivered by members of the team who work with the same tools every day on client projects. That is a deliberate choice: it means questions about edge cases and real-world problems get answers based on direct experience, not only on the official documentation.

Contact us today for a free consultation!

Tell us how your team is made up, which stack it works on and what problem created the need for training. We will propose a tailored syllabus with learning objectives, duration and format put in writing before we start.