Machine Learning Specialist
RWTH Certificate
35.000+
Speakers with real-world experience
Practical experience over textbook knowledge
What you will learn
- Building Blocks of AI
- Data Science
- Python for Data Science
- Databases & Pipelines
- Data Analysis & Visualization
- Explainable AI
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Deep Learning
Who is this course intended for?
Preparing for the next career step or building on existing expertise in order to fill the current role more effectively requires intensive training formats. In addition to theoretical training content, interaction, exercises and transferability to your own job context are particularly important. This is made possible in 3-5 day certificate courses.
The Machine Learning Specialist is aimed at specialists and executives, data scientists, project managers data analytics, data analysts, innovation managers and software engineers. Following areas are of particular interest: project management & AI project management digital transformation specific requirements are basic programming skills in Python products/services: implementation of AI projects & implementation of AI The number of participants is limited to 20 persons in order to ensure an efficient knowledge transfer in the dialog between the participants and lecturers is guaranteed.
About this training
The Machine Learning Specialist training introduces you to the world of AI through prominent examples and practical use cases in industry. In interactive sessions, you will discuss and develop an AI use case - from idea to implementation. In addition to data pipelines, data analysis processes and data mining tools, there will also be a special focus on data visualization and preparation. You will get to know different methods in the area of supervised learning, unsupervised learning, deep learning as well as reinforcement learning. Finally, you will get an insight into Big Data architectures and the Big Data ecosystem as well as an outlook on the topic of Edge AI.
Why this Training is right for you
The Machine Learning Specialist training is designed for technical professionals in the field of data analysis who want to understand the concrete technological methods and approaches and gain hands-on experience with the main methods of artificial intelligence. Basic programming skills are required.
Training Goals & Program Structure
After this training, you will have gained an in-depth understanding of the different methods of artificial intelligence. Based on practical, interactive exercises, you will have learned, among other things, the most relevant machine learning techniques and gained a broad understanding of the individual AI building blocks.
Day 1 Welcome and Introduction to the Week & Introduction to Data Science and AI
- AI News and Applications
- AI Navigator (Use Case Browsing)
- Interactive session
- Data and Pipelines in an Industrial Context
- Processes of data analysis
- Data processing tools and visual analysis
- Discussion and Conclusion
Day 2 Introduction to Machine Learning & Exploratory Data Analysis
- Exploratory Data Analysis and Introduction to Visualization(Libriaries Part 1 and Part 2
- Theory and Examples: Supervised Learning
- Theory and Examples: Unsupervised Learning
- Discussion and Conclusion
Day 3 Practical Exercise
- Practical Exercise Part 1 Supervised Learning
- Practical Exercise Part 2: Supervised Learning
- Explainable AI
- Practical Exercise Part 3: Unsupervised Learning
- Practical Exercise Part 4: Unsupervised Learning
Day 4 Introduction to Deep Learning
- Practical Exercise Part 5: Deep Learning
- Practical Exercise Part 6: Deep Learning
- Introduction to Reinforcement Learning
- Discussion and Conclusion
Day 5 Introduction to Industrial Big Data & Exam
- Parallelize jobs with Map Reduce
- Big Data Ecosystems
- Interactive Session
- Outlook: Edge AI
- Feedback session
- Exam
- Final Discussion
- Awarding of Certificates
You will receive an officially recognized Professional Certificate "Machine Learning Specialist" from RWTH International Academy. The achievements can be credited to other certified courses or further studies, as they are marked with the "European Credit Transfer System" (ECTS) and contribute fundamentally to your professional development. In addition, you will receive the certificate as a verified digital badge protected and authenticated by the blockchain, which will specifically strengthen your professional portfolio through its unlimited visibility, security and flexibility.
Requesting Inhouse Training?
The Machine Learning Specialist, or parts of it, would also be interesting for your entire team/your company? We would be happy to advise you on the possibility of an inhouse training. Give us a call or write to us - we will tailor your further training to suit your needs!
Machine Learning Specialist
Trusted by leading companies
Our Partners
Speakers
Tim Schroeder studied Electrical Engineering & Information Technology as well as Business Administration and General Management at RWTH Aachen University. As the Head of Artificial Intelligence at the INC Innovation Center, he led multiple bilateral and multilateral projects in the areas of Industry 4.0, Logistics 4.0, and Artificial Intelligence. Through technology scouting, data analysis, and AI assessments, he assists companies in successfully implementing new innovations.
Tim Schroeder
Dr. Christoph Rippe studied business mathematics with a focus on stochastics and optimization at Otto-von-Guericke University Magdeburg and then did his PhD in operations management on inventory management problems for service technicians. At INC Innovation Center, Christoph is a Senior Technology Specialist responsible for data analysis and prototypical implementation of AI use cases. He also supervises trainings and works on research topics related to AI applicability (small data augmentation/transfer learning).
Dr. Christoph Rippe
Dominik Joosten studied electrical engineering at Hochschule Niederrhein University of Applied Sciences and completed his master’s degree in automation technology at RWTH Aachen University, including an Erasmus term focused on machine learning at NTNU in Norway. At INC Innovation Center, he is a Senior Technology Specialist responsible for developing AI solutions for industrial applications, building scalable cloud‑based systems, and driving MLOps practices. He also conducts workshops to strengthen internal AI competencies and works on data‑driven process optimization, predictive quality in manufacturing, and the practical use of GenAI technologies such as LLMs and RAG.
Dominik Joosten
Hans Zhou studied mechanical engineering and process engineering at the Technical University of Darmstadt. He has gained extensive experience as a research associate at the IMA Cybernetics Lab. Since September 2024, he has been leading the Machine Intelligence Methodologies group at IQS. In this role, he focuses on research projects applying machine learning to production and mechatronic systems.
