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Understand Generative AI, Prompt Engineering, Huggingface-Models, LLMs, Vector Databases, RAG, OpenAI, Claude, Llama2
Updated on Sep, 2026
Programming, Data Science, Artificial Intelligence
Duration - 7.5 hours
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I am a hands-on Data Scientist with a lot of domain knowledge of Renewable Energies, especially Wind Energy.
Currently, I work for a leading manufacturer of wind turbines. I have provided training on Generative AI, Data Science, and Machine Learning with R and Python for many years.
I studied Aeronautics and Economics. My main interests are Machine Learning and Data Science.
Gain a solid understanding of the fundamental principles that govern Natural Language Processing and its applications.
Apply Huggingface for Pre-Trained Networks
Learn about Huggingface models and how to apply them to your needs.
Sometimes pre-trained networks are not sufficient, so you need to fine-tune an existing model on your specific task and/or dataset. In this section, you will learn how.
Vector Databases make it simple to query information from texts. You will learn how they work and how to implement vector databases..
Implement Vector DB with ChromaDB.
Multimodal Vector DB.
OpenAI with ChatGPT provides a very powerful tool for NLP. You will learn how to make use of it via Python and integrate it into your workflow.
Learn strategies to create efficient prompts.
Advanced Prompt Engineering
Self-Consistency Chain-of-Thought.
Retrieval-Augmented Generation
Capstone Project "Chatbot"
create a chatbot to "chat" with a PDF document.
create a web application for the chatbot.
learn how to use OpenSource LLMs.
Theory and Approaches of NLP Data Augmentation.
Implementation of Data Augmentation.
Introduction to Natural Language Processing (NLP).
model implementation based on hugging face models.
working with OpenAI.
Multimodal Vector Databases.
Retrieval-Augmented-Generation (RAG).
Real-World Applications and Case Studies.
implement Zero-Shot Classification, Text Classification, and Text Generation.
Zero-Shot Prompting.
Chain-of-Thought (Few-Shot CoT, Zero-Shot CoT).
Open Source Models, e.g. LLama 2, Mistral.
Python Basic knowledge.
Basic knowledge of How learning works.
Check out the detailed breakdown of what’s inside the course
I am a hands-on Data Scientist with a lot of domain knowledge on Renewable Energies, especially Wind Energy.
Currently I work for a leading manufacturer of wind turbines. I provide trainings on Generative AI , Data Science and Machine Learning with R and Python since many years.
I studied Aeronautics, and Economics. My main interests are Machine Learning and Data Science.
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