Deep dive into artificial intelligence
Artificial intelligence is driving the new industrial revolution.
Within less than 2 months your experts will obtain sufficient knowledge and skills to build complex AI systems.
The 21-day AI deep-dive offers in-depth expertise on the theory and implementation of machine learning via practical examples and exercises to be solved during the course for IT experts and for those who have at least basic computer programming skills. Due to the length of the course, participants can get to know various fields of the AI universe deeply. For a better „digestion” of the course content, the training course can be held in 3-day parts over 7 weeks.
- Basics of data (3 days)
- Pipelining and data preparation (3 days)
- Classical data science and machine learning (5 days)
- Fundamentals of deep learning (4 days)
- Applied deep learning (3 days)
- Recent advancements in AI and ML (3 days)
Data science tools used in the training:
- Colaboratory – Jupyter environment
Target audience: Statisticians, data analysts, senior product developers, IT experts
Duration: 21 days
Difficulty: advanced 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
Key takeaways: Participants will be able to build and train machine learning models, apply this technology for building AI solutions to address business or technology related tasks in their enterprise and set up projects for building such solutions. 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.
We can accomodate the course content, the practical examples and exercises to the client’s industry and strategic requirements. In addition optionally we can guide the participants through a „mini project” (Proof-of-Concept) using the client’s own data-set and addressing his own business task for which we will give support to preparing the necessary data and the infrastructure.