Curriculum
- 6 Sections
- 17 Lessons
- 2 Days
Expand all sectionsCollapse all sections
- Introduction3
- AI Methods and models9
- 3.1Overview
- 3.2Inference engines
- 3.3Predicate Logic
- 3.4Machine learning : Learning tasks; Algorithms; Perceptron…; Framework Demo
- 3.5Neural Networks : Principles, connected layers, weights, …, Frameworks Demo
- 3.6Deep Learning or Machine Learning ? Some warnings, pros/cons, Learning Samples
- 3.7Reinforcement Learning: Games
- 3.8Different Network Topologies: NN, CNN, RNN, autoencoders, GAN, Very deep networks
- 3.9Quiz end of DAY 110 Minutes0 Questions
- Artificial Intelligence (AI) in production2
- Practical Session2
- Case Studies on IoT domain3
- Wrap-Up & Conclusion1