V-Valley presents a new technical course within its training cycle in artificial intelligence for the channel specialized in Training Machine Learning Models. Designed to enhance the capabilities of the channel’s technical teams and support the deployment of real artificial intelligence projects in companies in any sector, this training is part of V-Valley’s annual cycle of AI training that has allowed hundreds of professionals to start or consolidate their roadmap around the challenges posed by knowledge of artificial intelligence. This new edition will feature the participation of Check Point, Dell Technologies, HPE and Red Hat.
Lasting two intensive days and available in person at the V-Valley Academy (Madrid) or online, this course offers a complete immersion in the development of Machine Learning projects:
- Key concepts of ML and their development phases
- Data audit and exploration
- Supervised, unsupervised, semi-supervised and reinforcement algorithms
- Training, validation and review of models
- Real application cases in different sectors
The training also includes advanced content on Deep Learning, time series prediction, transfer learning, generative AI and LLMs, as well as practical examples in images, text and time series.
Train in digital skills
This course is part of V-Valley’s strategy to strengthen the skills of its partners’ technical teams, helping them design, deploy and optimize AI solutions applicable to real projects. This is the fifth cycle of AI training organized by the company and will focus on training Machine Learning models.
The sessions will take place on March 11 and 12 from 9:30 a.m. to 2:00 p.m. In-person and online places are limited and will be assigned in order of registration. Those interested can register through V-Valley Academy or request more information on the V-Valley portal: Eventi | V-Valley.
The V-Valley course offers a complete immersion in the development of Machine Learning projects
Throughout 2026, V-Valley’s training proposal will also address training with practical courses around Quantum Computing, Machine Learning, Data Analytics Strategies, Data Governance, Compliance and security in AI environments.
