our solution
At Partners in Skills, our ultimate goal is to open doors to new job opportunities, broaden your horizons, and boost your earning potential.
The Training Roadmap
Open House
Partners in Skills holds an Open House in Jerusalem to attract women interested in Data Science training. Attendees learn about the course, internships and job prospects. Q & A sessions with alumni provide additional insight.
Apply
If you are fascinated by the realms of AI & big data and embrace challenges, please request a course application form
Introductory Bootcamp
The two-week immersive Data Science Bootcamp offers both applicants and the Partners in Skills administration the opportunity to assess compatibility and potential for success.
Training in Software Development
Specialization Tracks
  Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. The Partners in Skills specialization covers topics including deep learning, natural language processing, and other advanced techniques.
  Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data. Big data pipelines manage the flow of data through the organization.
  Full Stack Development is end-to-end application software development, including the front end (client-based) and back end (server-based). The front end consists of the user interface, and the back end takes care of the business logic and application workflow.
Open House
Partners in Skills holds an Open House in Jerusalem to attract women interested in Data Science training. Attendees learn about the course, internships and job prospects. Q & A sessions with alumni provide additional insight.
Apply
If you are fascinated by the realms of AI & big data and embrace challenges, please request a course application form
Introductory Bootcamp
The two-week immersive Data Science Bootcamp offers both applicants and the Partners in Skills administration the opportunity to assess compatibility and potential for success.
Training in Software Development
Project-based Learning
Teamwork to mimic real working environments
Student Support
Final Capstone Project
Project Management Coaching
Dataquest Certification
Specialization Tracks
  Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. The Partners in Skills specialization covers topics including deep learning, natural language processing, and other advanced techniques.
  Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data. Big data pipelines manage the flow of data through the organization.
  Full Stack Development is end-to-end application software development, including the front end (client-based) and back end (server-based). The front end consists of the user interface, and the back end takes care of the business logic and application workflow.
Key Technologies
Internship
We believe in the power of real-world experience, which is why we’ve established a partnership with Integralytic, an AI incubator based in Jerusalem.
The Partners in Skills – Integralytic collaboration affords course graduates the opportunity to intern within Integralytic’s diverse teams – encompassing Data Science, Data Engineering, Full-Stack Development, DevOps, and Data Analytics. The internship spans a year, with a structured 5-day, 25-40-hour workweek.
Integralytic was founded by graduates of Partners in Skills’ first cohort and has formed strategic partnerships with industry leaders to incubate cutting-edge AI technology.
Learn more about Integralytic here
Join Partners in Skills today and discover the endless possibilities that await you in the world of tech.