From machine learning to AI
Understanding, training, and applying models
Did you know?
This course is part of the certified Data Expert Master Class. By booking the entire Master Class,you save 26 percent compared to booking the individual courses.
- Basic concepts of machine learning
- KNIME introduction and basic task (familiarization with data set)
- Group task: Develop a business case from the (still incomplete) data set.
Basic concepts & fundamentals
- Crisp DM
- Business Understanding
- Data Understanding
- Data preparation
- Exercise: Import, connect, and clean up data set
- Outlook: Supervised learning and train-test splits
- Recap of the first self-study phase
- Preparation Exercise: Modeling and Evaluation
- Exercise: Basic supervised learning workflow
- Outlook on modeling and evaluation
Machine learning in action — From data set to intelligent model
- CRISP-DM Evaluation: Assessing the Quality of Models
- Linear/logarithmic regression, decision trees, neural networks presented as classification and regression
- Evaluation of classification models. Metrics and ROC curves
- Exercise: Build the classification workflow for a decision tree
- Evaluate errors in regression models
- Advanced: Neural Networks
- Outlook: ML Operations
- Recap of the second self-study phase
- Practical example of explainable classification
- What does all this have to do with AI? LLMs, RAGs, AI as an automation component
- Relevant issues within the company (compliance, EU AI Act, cloud, AI implementation)
Contents and course schedule
1. Basic concepts: from AI to machine learning models
- The most important basics
- important learning methods
- Implementing machine learning projects with CRISP-DM
2. ML Projects I: Setting up projects and preparing data
- Understanding requirements and setting up a project correctly
- Understanding data and preparing it for machine learning using pipelines
3. ML Projects II: Modeling and Evaluation
- How can I model the data in a meaningful way?
- Getting to know the common models: from simple linear regression to decision trees and neural networks
- Model selection: Which model should be used when?
- Model evaluation: Systematic evaluation of different models
4. ML Projects III: Making ML and AI usable in companies
- How are machine learning models put to use in companies?
- How can LLMs be utilized within a company?
- Brief outlook: Data protection & EU AI Act
This is how you learn in this course
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.
Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).
Your benefit
- You understand the central principles of modern AI and ML methods and can differentiate between which method is suitable for which problem.
- You will learn how to set up ML projects correctly from the outset —from requirements to data understanding to data preparation with pipelines.
- You can systematically model data and select, apply, and evaluate common models —from simple regression methods to decision trees to simple neural networks.
- You know how to make ML solutions productive in your company
- You will learn how to use large language models (LLMs) in a targeted and responsible manner within your company and understand the most important legal and organizational frameworks, such as data protection and the EU AI Act.
- This will qualify you to successfully carry out practical ML and AI projects and build skills that are increasingly business-critical in data-driven organizations.
Methods
A well-thought-out mix of content, methods and support is essential for learning success, especially in blended online learning. Our course concept is precisely tailored to this: structured self-study phases, in-depth trainers, best-practice examples, practical exercises, discussions and sharing experiences in the learning community.
Tools
Recommended for
This training course is suitable for anyone who wants to develop a future-oriented data mindset and learn how to create real added value through data. You will learn how to design PoCs for data and AI projects, evaluate their feasibility, and confidently act as an interface between business and IT.
- Project managers in data projects
- process managers
- Specialists from controlling, HR, finance, and other departments who finally want to move beyond Excel spreadsheets
- IT specialists and individuals who are proficient in a scripting language
- Individuals with little prior experience with data but who are highly motivated to work in a data-driven manner
Mastering the future
Recognize potential, manage data projects, and increase added value—with the "Data Expert" master class.
Start dates and details
About us - The Haufe Akademie
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Whether on site, live online or in-house - our customised solutions, our claim to the highest level of consulting expertise and training tailored to your needs simplify the acquisition of skills for the working world of the future and sustainably facilitate professional development.
A wide range of seminars, individual coaching and our flexible formats support HR managers and decision-makers in shaping the future and developing employees, in-house teams and companies.
Experience the benefits of online training from the comfort of your own home. Our online formats meet the highest quality standards and are in no way inferior to face-to-face events in terms of practical relevance. Learn together live online in interactive groups or digitally at a time of your choice.
Do you have any questions?
We are there for you Monday to Friday 8:00 a.m. - 5:00 p.m.
Questions & Answers
In our Questions & Answers (FAQ) section, you will find all the answers and the most frequently asked questions about your selected topic.
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