Artificial intelligence technology in practice
Artificial intelligence is driving the new industrial revolution.
A few days is enough for your staff to build AI technology knowledge which will support their daily work and help them cooperate with internal or external AI developers.
We recommend our AI technology course to staff who work with external AI developers or consultants as project managers or industry domain experts. The course will also be useful if these co-workers actually want to learn to build machine learning systems on their own. The one-day introduction is followed by a 2-day specialisation, giving both theoretical knowledge and practical skills which participants can start using immediately.
- Introduction to AI
- Basic AI technologies
- Data needed for machine learning, related issues and their handling
- Toolsets for building AI models and how to work with them
- Implementation and new trends in AI
Target audience: Line managers, technology experts
Duration: 3 days
Difficulty: intermediate level
Prerequisite: Basic programming skills and IT knowledge is necessary. The understanding of mathematics, quantitative analysis and statistics will also be helpful.
Language: English or Hungarian
Course delivery: classroom-based or online, partly recorded video streaming
Key takeaways: After completing the course participants will have detailed knowledge on the structure, operations and application of machine learning systems including neural nets. They will also understand the significance of data needed for machine learning and the importance of organising such data. They will know tools, platforms and methods for building AI solutions. As a result, they will be able to manage or co-operate with internal or external AI experts (data scientists) or expert companies building AI solutions for their enterprise.
Our experience shows that training courses deliver the highest business value if associated with follow-up consultation. This activity will serve to identify AI application areas or problems to be solved with the help of AI in the client’s enterprise. We can also use this occasion to discuss questions in connection with AI application areas.