Academy
Lumtify Academy
We train enterprise teams in data, analytics and optimization.
- Data Science Bootcamp
- Python Bootcamp
- Database and SQL Training
- Mathematical Modelling and Optimization
- Data Visualization
- AI & Data Literacy
Corporate training programmes
Programmes designed for individual companies, most continuing with mentoring. The catalogue trainings adapted to the institution's own data and questions.
- Turka Araç Muayene2026
AI training and a CEO vision session
Full-day team training + 3-hour executive decision session
- LLM mechanics, hallucination, prompt discipline
- Tool landscape: Projects, Artifacts, Skills, MCP; data hygiene and privacy
- Live demo: from a free-text fault report to a standard incident record — with a skill
- Business analysis with AI workshop and a "fun AI" tool tour
- CEO session: mental models, system model, 24 projects → 4 decisions, the first 180 days
- Defacto · İnsan Kaynakları2026
Software development with AI training
One day, four modules + live project workshop
- AI fundamentals and data security; major tools and prompt engineering
- The idea-to-production chain: design → Claude Code → database → deploy
- HR case study: an employee referral portal prototype
- HR prototyping standards guide — 12 standards, a quality gate, a 90-day plan
- Kuveyt Türk2023 – 2025
Data analytics journey: SQL, Power BI, Python, machine learning
Digital marketing and customer experience teams; project assignments, with mentoring
- Data awareness and an introduction to AI
- SQL with reinforcement projects; data visualisation with Power BI
- Python programming; machine learning with Python
- A project per participant — the master–apprentice model
- Türkiye Bankalar Birliği2023
Data Analytics Journey: an end-to-end data scientist programme
62 hours over 21 days; evening sessions, homework, in Colab
- Introduction to data science and AI; databases and SQL querying
- Python programming; basic statistics and EDA
- Data visualisation and Power BI; machine learning in Python
- Industry cases: retail sales forecasting, bank transaction classification
- Türkiye Finans Katılım Bankası2024
Python and machine learning for HR analytics
One day a week for six months; with exams and mentoring
- Python fundamentals — assignment-driven
- Machine learning: data preparation, model, validation
- The team's own projects: recruitment inventory analysis, employee attrition
- Sunar Yatırım2024
Creating value from data: data awareness and AI
Manager level and above, full day; with the fictional company case PortaPat
- Data, data structures, data warehouse — through the company's own data creation process
- Data-driven culture, data maturity assessment, "three kinds of lies" and misleading charts
- The difference between business intelligence, business analysis and data analytics
- Using new-generation AI tools in business processes
- Kalekim2023
Data analytics journey: from awareness to forecasting
Planning team, four modules
- Data awareness, data maturity and the data-driven organisation
- Basic statistics; analysis and pivots in Excel
- Forecasting: the same problem in Excel, Python and R
- Data visualisation and Power BI
- Motor Aşin2024 – 2025
SSIS, data visualisation and Power BI mentoring
IT team; their own dashboards after the setup
- Data warehouse design and SSIS packages — how the current setup works
- Data visualisation principles and Power BI
- Dashboards built under mentoring: customer region analysis, warehouse fill rate, stock
- Vestel2022
Mathematical modelling with IBM ILOG CPLEX OPL
20 hours, online; OPL and DoCplex
- The life cycle of an optimization project and the elements of a model
- Modelling in OPL, data integration, examining results
- Model tuning, flow and warm-start techniques
- The Turkish DoCplex resource born from the training was shared openly
Pro bono and academic
Classes we teach without a fee and contributions to schools. Sharing knowledge is part of the work.
- İstanbul Medeniyet Üniversitesi2024 bahar
Data Analysis and Visualisation course — one semester, as a team, pro bono
Undergraduate course; weekly sessions, assignments and a final project
- Data analysis, data science and AI — concepts and professions
- Statistics and data analysis: ratios, averages, distributions, misleading comparisons
- A short tour of analytics tools: Excel, SQL, Python, R, Power BI, CPLEX
- Data visualisation principles; a final built from questions the students wrote
- Hamilik Okulu2025 – her yıl
AI and Data Analytics in Marketing
A full-day class within the marketing programme; repeated every year
- A data bender's road map: graduation, career, Lumtify
- AI in marketing: decision journey, recommendation, forecasting, segmentation examples
- Live generative-AI exercises and the students' own experiments