Expert in Data Science and AI – Implement Machine Learning into practice

Zertifikatsstudiengang

Registration Introduction Highlights Programme content Key Facts Contact

Registration

The recent wave of innovation in Artificial intelligence (AI) has enormous disruptive potential, but there is a decided shortage of professionals capable of harnessing the power of the latest modelling techniques and moving AI from the drawing board into real life.

Participate on campus or via live-stream!

Don't just follow the trend - apply AI in practice!

The programme Certified Expert in Data Science and AI aims to give practitioners a solid foundation in data modelling, as well as an in-depth understanding of the latest AI methods and solutions (especially Deep Learning). The course covers the theoretical foundations of statistical modelling, the detailed analysis of neural models – along with associated machine learning procedures – and includes a technical introduction to and practice in Python programming using the general “Data Science Stack” (Numpy, SciPy, Pandas, Scikit-Learn), as well as TensorFlow for Deep Learning.

Your Advantages

Interactive “lab” sessions
Immediate application while implementing solutions (under guidance)
Individual support
Valuable networking within the circle of participants
Two Trainers who are specialists in different areas of expertise
Recognised certificate after passing the programming assignments

Programme content

The programme Certified Expert Data Science and Artificial Intelligence consists of two 5-day weeks.The course is held in English.

Data Science and Modelling Foundations (Week 1)

Foundational definitions, historical overview
Task settings, tasks of AI models
Data science pipeline
Visualization, representation and embedding
Clustering methods, anomaly detection models, classification methods
Regression, metrics, measurements of models

Neural Networks and Deep Learning (Week 2)

Training and setup for neural networks
Neural network basics
Current neural architectures and their application
Memory networks, unsupervised learning with neural models, transfer learning
Peak into what else is there?
Advice on deployment of Machine Learning models

Key Facts

Degree

Certified Expert in Data Science and Artificial Intelligence (Frankfurt School)

Target Group

Programmers, data scientists and business analysts, as well as individuals with experience in programming and/or data analysis seeking an in-depth understanding of and practical exposure to the latest AI technologies (especially Deep Learning)

Requirements

Participants will need basic programming skills and knowledge; a basic knowledge of Python would be a plus
A data-modelling background (or strong affinity) is desirable
All participants should bring laptops with them to work on practical exercises during the course.