Robo-advisor - Developing AI and Machine Learning Applications (LMCES)

At the end of the course the participant will be able to:

• define the digitalisation need of their organisations
• identify AI projects in their environment
• justify a robo-marketing tool from an ethics and policies point of view
• formulise and visualise the story behind each digital marketing project
• identify different types of APIs in marketing industry
• design the main stages of an intelligent marketing app
• develop different marketing applications from zero to hero

Artificial intelligence is one of the hottest topics of current times because it has disrupted most industries in recent years. It significantly changes the traditional operating models of marketing departments with redefining strategic priorities and upending the competitive dynamics of the consumption ecosystem. This comprehensive and advanced certification programme addresses the operational, technical, and societal implications of AI in marketing. This training elevates the digital skills of sales and marketing professionals while enabling them to design, develop and implement their first robo-marketing application from scratch. This three-hour programme consists of theoretical concepts as well as coding with programming languages.

At the end of the course, participants will receive a certificate of attendance issued by the House of Training.

Peiman A. Sarvari; Luxembourg Institute of Science and Technology

Prof. Peiman A. Sarvari is an artificial intelligence expert and data scientist at Luxembourg Institute of Science and Technology. He has an outstanding background in data engineering, cloud computing, robotics, operations research, and computer simulation. Peiman A. Sarvani helps academia with lecturing on subjects such as big data, AI, and Information Communication Technologies in different European universities. He has successfully managed and fulfilled several business projects on digitalisation and platform design. He is a certified AWS architect, SCADA, and Apache Kafka developer. Currently, Peiman is coupling IoT and AI for better industrial and business performances. He designs state-of-the-art data pipelines engaging the usages of mathematical optimizers to design data-driven industrial and social communities.