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Course Description
Artificial intelligence has become an extremely important area for IT professionals and engineers in the past 10-20 years with the breakthroughs and practical applications of deep learning and more recently generative AI systems. Due to its importance and impact on every aspect of our lives, understanding the concepts, functionalities and basic usage of AI systems is quickly becoming essential for all IT and other technical professionals as well as for managers with technical background.
This training teaches participants the following topics (preliminary list):
- Understanding the notion of Artificial Intelligence (AI) and its main branches, especially Machine Learning and its highly popular Deep Learning variant
- Basic concepts, building blocks and functioning of Artificial Neural Networks (ANN)
- Basic concepts, building blocks and functioning of Convolutional Neural Networks (CNN)
- Basic concepts, building blocks and functioning of Recurrent Neural Networks (RNN)
Besides gaining basic understanding of the theory of deep learning, students will also make extensive lab exercises using the Python based TensorFlow + Keros framework to see how these concepts work in practice.
This training is part of the AI portfolio of Component Soft which explores the most important AI themes, such as ChatGPT and GPT API Prompt Engineering for Developers, Deep Learning, Generative AI and Large Language Models.
Course Length: 16 training hours
Structure: 50% theory, 50% hands on lab exercises
Target audience: All types of IT, telecom and other technical professionals as well as managers with technical background who want to understand the basic concepts, types and functioning of Deep Learning aka Artificial Neural Networks.
Prerequisites: Basic understanding of IT systems