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Since February 2021
Instructor since February 2021
Transformers, Foundation Models & Modern AI Systems
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From 46 € /h
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Interested in understanding how modern AI systems like ChatGPT work and how to build applications using the latest AI technologies? This course provides a practical introduction to Large Language Models (LLMs), Foundation Models, and Multimodal AI for students, developers, and professionals who want to deepen their understanding of modern artificial intelligence.

In this course, you will learn:
a) Transformer architecture
b) Attention mechanisms
c) GPT-style models
d) Vision-Language Models
e) Fine-tuning
f) Embeddings
g) Multimodal AI

The course is suitable for students, developers, and AI enthusiasts who want to understand the technology behind today's most advanced AI systems and learn how these models are applied in real-world scenarios.
Location
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Online from Austria
About Me
Hi! I'm Negar, a PhD student at the Medical University of Vienna with a background in Computer Science, Artificial Intelligence, and Machine Learning.

I hold a Master’s degree from the Technical University of Vienna, where I specialized in Computer Vision and Robotics research. I also worked for two years as a Machine Learning Engineer, focusing on Large Language Models (LLMs), prompt engineering, and AI applications.

I have experience teaching students at both high school and university levels, including courses in Algorithms, Artificial Intelligence, Computer Vision, and Programming. My goal is to make challenging topics easy to understand through clear explanations, practical examples, and personalized guidance.

Whether you need help with programming, algorithms, machine learning, AI, or computer vision, I can help you build confidence, improve your skills, and achieve your academic or professional goals.
Education
- PhD: Medical Imaging, Medical University of Vienna
- MSc: Logic and Computation, Technical University of Vienna
- B.Sc. Computer Science (Artificial Intelligence), Ferdowsi University of Mashhad
Experience / Qualifications
- Teaching Assistant for
Algorithms Design, Artificial Intelligence, Computer Vision, Machine Vision, and Machine & Language Theory.
- Experience in
Machine Learning, Deep Learning, Computer Vision, Medical Imaging, NLP, Robotics, Explainable AI (XAI), and Vision-Language Models (VLMs).
- Machine Learning Engineer experience specializing in
Large Language Models (LLMs), Foundation Models, Prompt Engineering, GPT models, AI APIs, and AI-powered applications.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
The class is taught in
English
Persian
Reviews
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This course is to teach physics and Mathematics and help students preparing for their exams.

I have been tutoring math for 1 year now, and have worked closely with students age between 7-18 in helping them with their math or physics classes.

If you have any further questions, please don't hesitate to message me.

Looking forward to hearing from you!
Read more
Learn how modern AI systems work and how to build practical applications using Large Language Models (LLMs).

In this course, you will learn:
- How ChatGPT, and modern Foundation Models work
- Prompt Engineering techniques for better AI outputs
- Working with AI APIs and integrating LLMs into applications
- Building AI assistants and chatbots
- Introduction to AI Agents and automated workflows
- Using tools and frameworks to create intelligent AI applications

The course is suitable for beginners interested in AI as well as programmers who want to learn how to build real-world AI applications.
Read more
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Vincent
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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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Contact Negar
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Vincent
With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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