Generative AI with Python Bildungsurlaub
Bildungsurlaub:
Discover the future of technology in our Python course for generative AI! In a world where artificial intelligence is increasingly shaping our everyday lives and the world of work, this course offers a unique opportunity to position yourself at the forefront of innovation. Generative AI models are already revolutionizing areas such as data analysis, product development, but also art and media and much more.
Experts in this field are in high demand, with excellent job prospects and career opportunities in various industries. By taking part in this course, you will not only lay the foundations for a future-proof career, but also gain fascinating insights into a technology that will fundamentally change our world. Don’t miss the opportunity to be part of this exciting development.
Your Trainer
My name is Bert Gollnick. I am fascinated by this new technology and all its possibilities. I am eager to explore it with you. I have been offering training and online courses on R, Python, Machine Learning, Deep Learning, and Generative AI for many years. Over 40,000 students worldwide have participated in my courses. In addition to this expertise, I have many years of experience as a Senior Data Scientist at a large German energy company and have also been conducting internal training courses here for several years.
Educational Leave
The course is recognized as educational leave in some federal states (see below). You can of course also take part in the course without educational leave and are very welcome to do so.
Course Content
Basically, the course starts with a theoretical part and ends with practical implementations with Python.
1. Natural Language Processing
- Basic concepts of artificial intelligence
- AI in language processing (NLP)
- practical examples
- Python packages and tools
2. GenAI-Tools
- Text to Image
- Text to Video
- Voice Cloning
- LLMs (ChatGTP, Gemini, Claude, and more)
- Text to Music
- Microsoft CoPilot
- Github CoPilot
3. Pre-trained Networks
- Introduction into Huggingface
- Text Classification
- Zero-Shot Classification
- Translation
- Text summarisation
- Feature Extraction
- Text generation
- Fill mask
- Sentence similarity
4. Prompt Engineering
- Introduction into Prompt Engineering
- Zero-Shot Prompting
- Few-Shot Prompting
- Chain-of-Thought
- Self Consistency Chain-of-Thought
- Prompt Chaining
- Tree of Thought
- Self Feedback
- Self Critique
5. Vector Databases
- What are Vector Databases?
- Functionality of vector databases
- Practical application and implementation using ChromaDB
- Tokenization and vectorization of texts
6. Retrieval Augmented Generation
- How RAG works
- Practical application and implementation of RAG
7. Agentic Systems
- Introduction into Agentic systems
- How to use tools
- Implementation with crewai
8. Miscellanious
- Open Source LLMs, e.g. Llama, Mistral
- LLM Functions
- more interesting topics if there is time
9. Projektarbeit
- Work on a real project
- You can choose your own topic
- Processing in a group or alone
Course times and implementation
The course takes place from Monday to Friday between 9 am and 5 pm. The course comprises a total of 40 teaching units of 45 minutes each, i.e. 30 hours.
- 9:00 – 10:30 First Module-Block
- 10:30 – 11:00 Coffee Break
- 11:00 – 12:30 Second Module-Block
- 12:30 – 13:30 Mittagspause
- 13:30 – 15:00 Third Modul-Block
- 15:00 – 15:30 Coffee Break
- 15:30 – 17:00 Fourth Modul-Block
Microsoft Teams will be used as the communication platform. The dial-in link will be provided in good time before the start of the event. The technical requirements can be checked before the course.
Prerequisites
- Basic programming skills in Python
- Laptop with internet connection, camera and microphone
- Interest in new technologies
- High motivation
Further information and questions
Do you have any questions? You can also contact me using the “Further information” button.
Als Bildungsurlaub anerkannt in folgenden Bundesländern
Ähnliche Kurse in dem Themengebiet
Wenn Du als Teilnehmer:in eine Bewertung für diesen Kurs hinterlassen möchtest, dann schick uns gerne eine Mail an [email protected]. Darin enthalten sein sollte:
1) Der Link zum Bildungsurlaubsseminar, welches Du bewerten willst
2) Dein Bewertungstext und deine Gesamtbewertung (1-5 Sterne), die Du vergeben willst. 5 Sterne = Super Kurs!
3) Der Name unter dem die Bewertung veröffentlicht werden soll
Du kannst dich jeder Zeit von unserem Newsletter abmelden. Weitere Informationen findest du in unserer Datenschutzerklärung.
