Training Dataiku for corporate AI and machine learning
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: AI
- TRAINING CODE: IT-AI-123
- DURATION: 3 days
- PRICE INFORMATION from: 3750 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
The training provides a comprehensive introduction to the Dataiku platform and its application in developing advanced AI/ML solutions at the enterprise level. The program covers the full lifecycle of an analytics project, from data preparation to model implementation, with a focus on team collaboration and process management. Participants learn to use the platform’s advanced features to create scalable and repeatable analytics solutions.
Participant profile
- Data analysts in large organizations
- Data Scientists working with Dataiku
- Managers of analytical teams
- Business Intelligence Specialists
- Data engineers
- Employees of analytical departments
- Digital transformation consultants
Agenda
- Dataiku platform basics
- Architecture and components
- Project management
- Integration of data sources
- Teamwork
- Data processing and analysis
- Designing data flows
- Transformations and cleaning
- Process automation
- Data visualization
- Development of ML models
- Automatic machine learning
- Tuning models
- Validation and testing
- Documentation of processes
- Implementation and management
- Version management
- Production implementation
- Monitoring of models
- Change management
Benefits
The participant will develop practical skills in using the Dataiku platform to develop advanced analytics solutions. He or she will gain knowledge of how to effectively manage AI/ML projects in an enterprise environment. Will learn to design and implement scalable workflows for analytics projects. Will learn techniques for effective collaboration in data science teams. Will develop the ability to automate analytics and ML processes. Will gain the ability to manage the full lifecycle of models in a production environment.
Required preparation of participants
- Basic knowledge of data analysis
- Understanding business processes
- Experience in analytical projects
- Fundamentals of machine learning
Issues
- Dataiku architecture
- Project management
- Data flows
- Automatic ML
- Teamwork
- Production deployments
- Monitoring of models
- Version management
- Process automation
- Documentation of projects
- Data visualization
- Best analytical practices
Do you have any questions?
Feel free to contact us.
Patrycja Petkowska
+48 735 257 272
patrycja.petkowska@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
Forms of training delivery
Stationary training
- Training at the customer's premises or at a designated location
- Training room equipped with the necessary equipment
- Training materials in electronic form
- Coffee breaks and lunch
- Direct interaction with the trainer
- Networking in a group
- Workshop exercises in teams
Remote training
- Virtual training environment
- Electronic materials
- Interactive online exercises
- Breakout rooms for group work
- Technical support during the training
- Recordings of the session (optional)
Possibility of funding
The training can be financed with public funds under:
- National Training Fund (KFS)
- Development Services Base (BUR)
- EU projects implemented by PARP
- HR Academy Program (PARP)
- Regional operational programs
If you are interested in funding, our team will help you prepare the required documentation.
HAVE A QUESTION?
Contact us for more information about our training, programs and cooperation. We will be happy to answer all your inquiries!
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Do you have any questions?
Feel free to contact us.
Patrycja Petkowska
+48 735 257 272
patrycja.petkowska@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
- One-pager invitation with deadlines
- Project kick-off
- Strategic leadership and thinking
- Communication and Cooperation. Conflict management
- Motivating, engaging and difficult decisions in business
- Managing Change and Innovation. Leadership in crisis
- Building the organization of the future
- Best practices workshop - retrospective; creating a coherent program for middle and lower management levels























