Teaching basic Math and Physics in English and Persian
From 58 C$ /h
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!
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!
Extra information
Before the class please tell me the topics you are struggling with so I can prepare myself for it.
Location
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.
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
- 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.
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
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
English
Persian
Reviews
Availability of a typical week
(GMT -04:00)
New York
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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.
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.
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.
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.
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