Anatomy of an academy
4 elements of every academy.
Whatever the topic — Data, AI, Cloud or Cybersecurity — every academy rests on the same backbone.
Competence diagnosis
Team skill map, competence gaps, business goals for 6-12 months.
Modular program
A track built from modules: workshops, projects, mentoring, 1:1 sessions.
Delivery with progress tracking
Recurring sessions, projects on company data, checkpoints every 4-6 weeks.
Certification and follow-up
Final exam, personalized certificate, 90 days of mentoring after completion.
Sample track
Data Engineering Academy — 6 months
This is one of our most popular programs. 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
End-to-end project on company data + certification 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.
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.
Data Engineering
AI and Machine Learning
Cloud (AWS/Azure/GCP)
DevOps and platforms
Cybersecurity
Frontend and Backend
Another topic?
Let's talk →
Who it's for
Academies work well when...
IT and Data departments
Reskilling teams onto new technologies and stacks.
Graduate programs
Onboarding new hires to full productivity in 3-6 months.
Talent retention
Development paths as a benefit that keeps your best specialists.
Technology change
Migrating a team to a new stack (e.g. legacy → cloud-native).
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 — competence academies
Frequently asked questions about development programs for teams.
How long does a typical competence academy last?
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From 3 to 12 months, depending on the depth of the program and the team's starting point. The most popular are 6-month academies (e.g. Data Engineering, AI Engineer, Cloud DevOps).
Is the program tailored to our stack?
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Yes — it's the foundation of our method. The competence diagnosis at the start lets us select modules and technologies aligned with your company's stack (e.g. AWS instead of Azure, Snowflake instead of BigQuery).
What does the schedule look like?
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Typically 1-2 sessions per week (afternoons or full days), supplemented with asynchronous materials and projects between sessions. We agree on 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. Every academy ends with an exam and a personalized infoShare Academy certificate confirming completion of the program and the competences gained.
How do you measure the program's effectiveness?
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Checkpoints every 4-6 weeks (knowledge tests + projects), satisfaction surveys, and a final end-to-end project on company data. 92% of participants complete the tracks they start.