Master Machine Learning & AI: A Comprehensive Guide to Data Analytics and LLMs

The primary objective of this course is to equip participants with the essential skills to effectively conceive, develop, train, evaluate, and deploy Machine Learning (ML) models within their organizational context. Upon completion, attendees will be able to: * Understand the core principles of Machine Learning and Artificial Intelligence. * Differentiate between various ML algorithms and identify the most suitable ones for specific business challenges. * Master the end-to-end process of an ML project, from initial requirements gathering to data preparation, model building, and deployment. * Gain practical experience with common ML models, including simple neural networks. * Explore the applications of generative AI and Large Language Models (LLMs) in business, including concepts like Retrieval-Augmented Generation (RAG) and AI-powered applications such as ChatGPT. * Understand the foundational aspects of LLMs and how they can be used for automation and agent-based systems. * Navigate the legal and ethical considerations surrounding AI, including data privacy and the EU AI Act.

This course employs a digital blended learning concept, specifically designed for professionals balancing work and study. The flexible format combines live online seminars (webinars) with self-paced learning phases, ensuring an effective and efficient learning experience. * **Online Learning Environment:** Upon registration, participants gain access to a dedicated online platform housing essential information, downloadable resources, and supplementary services. * **Self-Learning Phases:** These phases empower learners to study at their own pace and convenience, utilizing high-quality didactic learning materials. * **Live Webinars:** Regular online seminars provide direct interaction with instructors. This format facilitates question-and-answer sessions, offers practical guidance, and allows for the application of learned skills through hands-on exercises. * **Learning Community:** Throughout the course, a digital learning community is available for participants to engage with peers and instructors, fostering a collaborative environment for knowledge exchange and problem-solving.

The course offers a deep dive into the rapidly evolving world of Large Language Models (LLMs) and Generative AI. Participants will gain an understanding of the underlying principles of LLMs, including how they are trained and their capabilities. The curriculum explores various applications of generative AI in business, such as creating marketing content, automating report generation, and developing intelligent chatbots. Specific attention is given to advanced techniques like Retrieval-Augmented Generation (RAG), which enhances the accuracy and relevance of LLM outputs by integrating external knowledge bases. Furthermore, the course examines the development and deployment of AI applications built upon LLMs, including conversational AI agents like ChatGPT and sophisticated automation tools. This section aims to equip participants with the knowledge to identify and implement LLM-based solutions that can transform business operations.

This advanced training is ideal for professionals seeking to develop a future-oriented data mindset and create tangible value through data. It is particularly beneficial for: * **Project Leaders in Data Projects:** Those responsible for overseeing and steering data initiatives. * **Process Managers:** Individuals looking to optimize business processes using data-driven insights. * **Specialists in Controlling, HR, Finance, and more:** Professionals aiming to move beyond traditional spreadsheet analysis and embrace data-driven decision-making. * **IT Professionals and Programmers:** Individuals with scripting language skills looking to expand into AI and ML. * **Motivated Individuals with Limited Data Experience:** Anyone eager to work in a data-driven environment and acquire essential AI/ML competencies. By completing this course, participants will be well-positioned to successfully lead practical ML and AI projects, building critical skills that are increasingly vital in today's data-centric organizations. This qualification enhances career prospects and enables individuals to contribute significantly to their company's digital transformation.

The 'Machine Learning & Data Analytics' course is offered as part of the certified Master Class 'Data Expert.' Participants can also book this course as a standalone module. The total duration of the course is 20 hours, spread over 4 weeks. The learning format is Live-Online, with multiple start dates available. For instance, upcoming dates include August 13, 2026, August 27, 2026, December 3, 2026, and March 11, 2027. The course fee is €1,390,- plus VAT. Interested individuals can reserve a place free of charge and without obligation, or opt for email notifications for future dates. The course is also available as an in-house training solution, customizable to specific company needs and delivered either on-site or online. For inquiries, contact Stephanie Göpfert at service@haufe-akademie.de or +49 761 595339-00. Please note that selected events may utilize third-party tools, involving the transfer of personal data as detailed in the privacy policy.