Training Fundamentals of machine learning with Scala and Apache Spark

Practical information about training

  • CATEGORY: Technologies
  • SUBCATEGORY: AI
  • TRAINING CODE: IT-AI-141
  • DURATION: 2 days
  • PRICE INFORMATION from: 1950 PLN net
  • LANGUAGE OF TRAINING: polish
  • FORM OF IMPLEMENTATION: stationary, online

Training description

The training introduces participants to the world of big data processing and machine learning using Scala and Apache Spark. The program focuses on the practical use of MLlib, Spark’s machine learning library, to build scalable analytics solutions. The classes are conducted in the form of workshops, where participants work on real data sets, implementing a variety of ML algorithms.

Participant profile

Program szkolenia jest dedykowany dla:
  • Scala programmers looking to expand skills with ML
  • Data engineers working with Big Data
  • Apache Spark Specialists
  • Data analysts looking for scalable solutions
  • Big Data systems architects
  • Developers interested in distributed computing
  • Data scientists in need of big data tools
  • ML engineers looking for high-performance computing solutions

Agenda

  1. Introduction to the ecosystem
    • Scala basics for ML
    • Apache Spark architecture
    • MLlib and its capabilities
    • Distributed computing in ML
  2. Data processing
    • RDD and DataFrame operations
    • Transformations and actions
    • Preparation of data for ML
    • Processing optimization
  3. Implementation of algorithms
    • Classification models in MLlib
    • Regression algorithms
    • Clustering and dimensionality reduction
    • Evaluation of models
  4. Implementing solutions
    • Pipeline ML at Spark
    • Performance tuning
    • Monitoring of models
    • Integration with infrastructure

Benefits

Upon completion of the training, the participant will be able to effectively use Apache Spark for machine learning tasks. He will gain the ability to implement scalable ML solutions in a distributed environment. He will learn to optimize data processing and model performance in the context of big data. Will be able to design and implement ML pipelines leveraging Scala and Spark capabilities. Will develop practical distributed computing skills for ML tasks. Will gain the ability to integrate ML solutions with existing big data infrastructure.

Required preparation of participants

  • Basic knowledge of object-oriented programming
  • Experience in working with relational databases
  • Basic knowledge of statistics
  • Knowledge of the basics of machine learning

Issues

  • Apache Spark architecture
  • Scala in the context of ML
  • Distributed computing
  • RDD and DataFrames
  • MLlib pipeline
  • Distributed algorithms
  • Feature engineering at Spark
  • Persistence model
  • Performance optimization
  • Model deployment
  • Monitoring and maintenance
  • Spark cluster management

Do you have any questions?
Feel free to contact us.

Monika Fengler
+48 532 081 700
monika.fengler@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.

+48 22 487 84 90

biuro@eitt.pl

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Do you have any questions?
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Monika Fengler
+48 532 081 700
monika.fengler@eitt.pl
31 Ząbkowska Street
03-736 Warsaw

FAQ - Frequently Asked Questions

We offer training in a variety of tailored formats: onsite (at the client's location or our training center), live online interactive with a trainer, and in a hybrid format. Detailed information about the available delivery forms for a specific training is always included in its description on the website.
Open online trainings usually take place from 9:00 - 17:00 Polish time. In the case of closed trainings dedicated to companies, the schedule is flexible and we arrange it individually with the client to best fit the needs of the organization.
We use proven and popular video conferencing platforms, such as Microsoft Teams and Zoom, to conduct interactive online training. They provide seamless communication, the ability to work in groups and direct contact with the trainer. We provide information about the platform used in a specific training to participants before the training begins.
To comfortably participate in the online training, all you need is a standard computer (desktop or laptop) with stable internet access and an up-to-date version of a web browser installed. We recommend using headphones with a microphone for better sound quality and communication, although this is not absolutely required. Having a webcam is usually not mandatory either.
Yes, each participant receives a set of training materials prepared by our experts. We usually provide them in electronic form (e.g., PDF files) a few days before the start of the training, after confirmation of participation and payment.
Upon successful completion of most of our training courses, participants receive a named EITT Certificate of Completion, confirming the competencies gained. In addition, we offer accredited training courses (e.g., ITIL®, PRINCE2®) that prepare for official internationally recognized certification exams. Information about the type of certificate available after a specific training is always included in the detailed description of the training.
The enrollment process depends on the type of training. For open trainings (open to everyone) you can sign up directly through the application form available on the page of the given training. If you are interested in closed training (dedicated to employees of a single company), please contact us directly by email or telephone - we will prepare an offer tailored to your needs.
As standard, the price of the training includes: participation in classes taught by an experienced trainer-practitioner, a set of original training materials in electronic form, and a named EITT Certificate of Completion. For accredited training courses, the price often also includes the cost of taking the official certification exam. The detailed scope of benefits for a given course is always given in its description.
The preferred form of payment for our training courses is by bank transfer, executed on the basis of an issued pro forma invoice or VAT invoice. Detailed information on payment terms and conditions is provided in the process of confirming the enrollment in the training or can be found in the regulations.
Of course! Our specialty is closed-door, custom-designed training courses - according to the individual needs and business objectives of a given organization. If you are interested in a topic outside our regular offer or would like to modify the program of an existing course, feel free to contact us. We will be happy to prepare a dedicated solution.
We are flexible and adapt to the client's needs. We can organize closed trainings even for small groups - usually the minimum number of participants is 4 people, and the cost is often calculated for the whole group. Taking care of the highest quality and comfort of learning, in case of very large groups (more than 40 people) we usually recommend dividing into smaller teams to ensure effective interaction.
Your feedback is extremely important to us, as it allows us to continuously improve our offerings. After each training session, we send participants a link to a short online evaluation survey. You can also always contact us directly by email or phone to provide your comments.
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