What an academy is
A comprehensive development program for your people.
Not a single training session, but a program spread over time: several formats, clear goals and measured progress.
Structure
An academy can consist of one or several development tracks. Within a track we mix formats: workshops, a project, webinars, mentoring, Q&A sessions, plus prework and postwork.
Program and technologies
The program is built from topic blocks selected to match the company's technology needs and put together so that they deliver a concrete business goal.
Participants
We match the tracks to roles and prior experience — separately for developers, analysts, architects or leaders.
Duration
An academy is spread over time: from a few weeks to a few months. The length depends on the agreed scope and the team's availability.
Levels of advancement
From junior to senior — different levels can run in parallel within one academy.
Different development tracks
Separate tracks for developers, analysts, architects and team leaders.
Modularity
Modules can be combined and scaled in any way — including adding them mid-program.
Who we design academies for
IT teams
Developers, architects, QA — all levels of advancement.
Data / AI teams
Data engineers, analysts and ML engineers looking for new tools.
DevOps, Cloud, Security
Specialists who have to stay current with technology.
Organizations
Raising the competences of an entire team fast, not of single individuals.
How we work
4 steps from need to outcome.
An academy is designed around the needs and goals of your company — whether it concerns AI, data, cloud or security.
Needs and goal analysis
We establish the technology area, the team's starting point and the business goal the academy is meant to deliver.
Academy design
The program, the structure of tracks, participant roles and levels of advancement — plus a schedule matched to the team's work.
Program delivery
Recurring sessions with practitioner trainers, projects on the company's own reality, mentoring and checkpoints.
Evaluation and recommendations
A summary of the outcomes, personalized certificates issued once the program is passed, and recommendations for further development.
Sample track
Data Engineering Academy — 6 months
This is what one of our most popular programs looks like. Every academy is tailored individually.
SQL and Python foundations
Databases, queries, programming basics for data.
ETL and orchestration
Airflow, data pipelines, job scheduling.
Cloud Data Platforms
AWS/Azure/GCP — data services, storage, compute.
Data Warehousing
Snowflake/BigQuery, dimensional modeling, optimization.
Streaming and big data
Kafka, Spark, real-time processing.
Final project and certification
An end-to-end project on company data + a certifying exam.
Formats
The formats we mix.
A good development program is more than lectures. We combine formats to fit the team's goals and preferences — a single track usually runs several of them at once.
On-site workshops
Intensive 1-3 day sessions at the client's office or in our rooms.
Live online sessions
Interactive webinars and live workshops via Zoom/Teams.
Implementation projects
Team work on a real company project with mentoring.
1:1 mentoring
Individual sessions with an expert — code review, career, blockers.
Asynchronous materials
Recordings, exercises, quizzes — to learn at your own pace.
Hackathons and simulations
Practical team challenges that test the skills gained.
Topic areas
The academies we build most often.
Every area is based on programs from our training catalog — we pick the modules from it to match the goal of the academy.
When it works
An academy instead of single trainings, when...
Reskilling a team
Moving a team onto new technologies and stacks without recruiting new specialists.
Onboarding new hires
Shortening the path new employees take to full independence in the team.
Retaining specialists
A clear development path as an argument for staying with the company.
Technology change
Migrating a team to a new stack (e.g. legacy → cloud-native) alongside the rollout itself.
Let's talk
Let's design an academy for your team.
A free competence diagnosis and an initial program within 5 business days. No commitment.
Thank you!
We'll get back to you within 1 business day with a program proposal for your team.
FAQ
FAQ — development academies
Frequently asked questions about development programs for teams.
How long does a development academy last?
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From a few weeks to a few months — the length depends on the agreed scope, the number of tracks and the team's availability. Programs covering several tracks and full certification are usually spread over 6-12 months.
Is the program tailored to our stack?
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Yes — it's the foundation of this service. The needs analysis at the start lets us select modules and technologies aligned with the company's stack (e.g. AWS instead of Azure, Snowflake instead of BigQuery) and with the participants' level.
Can one academy cover different levels of advancement?
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Yes. An academy can consist of several tracks running in parallel — separately for juniors and for experienced specialists — while shared modules are run for the whole group.
What does the schedule look like?
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Typically 1-2 sessions per week (afternoons or full days), supplemented with prework, postwork and projects between sessions. We agree the schedule together so it doesn't clash with the team's day-to-day work.
Do participants receive a certificate?
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Yes. Once the program is passed, participants receive personalized infoShare Academy certificates confirming completion of the program and the scope of competences gained.
How do you measure the program's effects?
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Checkpoints during the program (tasks and projects), progress assessed by mentors, and a closing summary: what has changed against the starting point and what is worth developing further.
Which technology areas do you cover?
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Most often: AI, Data & Analytics, DevOps & Cloud, Security and Software Development. If the area you need is outside that list, we put together a technology scope for the specific needs of the team.