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Overview
You’ve probably heard about ChatGPT, Gemini, DALL-E 3, GitHub Copilot, Midjourney or other AI powered tools. Would you like to learn how they are built, and how to integrate them into other applications? How about writing prompt patterns that will unleash the full potential of ChatGPT?
Highlights
- Learn the fundamentals of AI, machine learning, and Generative AI, including text, image, and audio models with this Mastering Generative AI course at Constructor Nexademy
- Understand how large language models predict text, optimize chatbot interactions, and address ethical concerns
- Gain hands-on experience building AI-powered applications using Replit, Google Scripts, and Python
- Explore Retrieval-Augmented Generation (RAG), fine-tune GPT models, and implement AI security measures
- Use Google Colab, Hugging Face, and APIs to integrate LLMs into real-world applications
- Develop AI workflows without coding using LangFlow and ComfyUI to create user-friendly interfaces
- Apply your knowledge in a final AI project while exploring AI’s impact in business and creative industries
Programme Structure
Topics include:
- Generative AI and LLMs fundamentals
- Deep dive into generative AI tools & security
- Gen AI engineering & UI integration
- No-code LLM engineering & ComfyUI
- Generative creativity & business applications
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
Language
English
Delivered
Online
- Fully structured
- Continuous support with feedback on request, Proactive tutoring and support
- Individual work/assignments (with online group discussions), Online group works/assignments
Campus Location
- Zürich, Switzerland
- München, Germany
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 4 other Short Courses in Data Science & Big Data in SwitzerlandWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- No prior AI experience required – Open to beginners.
- Basic computer skills – Familiarity with using online tools and applications.
- Interest in AI and technology – A willingness to explore AI-driven tools and concepts.
- Optional coding knowledge – Beneficial but not mandatory for certain advanced topics.
Technological requirements
- Stable internet connection + Laptop/ PC – Required for attending live online sessions and hands-on projects.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents2500 EUR / full≈ 2500 EUR / full -
Domestic Applies to you
Applies to youCitizens or residents2500 EUR / full≈ 2500 EUR / full
Funding
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