I used to study electronics: physics laws in Physics course, electric physics and basics of using oscilloscope in Electronics course, logic gates, flip-flops, counters, registers, etc. in Circuit Design course, timers, PWM, ADC, DAC, etc. in Microcontrollers course and so on. I also had some experience with several Arduino
boards (using Proteus for simulation), STM32 board (using CubeMX) and some outdated custom boards from the university, based on Intel 8086 microprocessor. I also had some hands-on experience with Raspberry Pi, Arduino, ESP32, etc. Got some experience with sensors, soldering, circuits, etc.

• Elements of AI by University of Helsinki Click
• Introduction to Embedded Machine Learning by Edge Impulse (Coursera) Click
• Introduction to Machine Learning by University of Macerata (6 credits) Click
• Machine Learning by Stanford University (Coursera) Click
• Data Science Fundamentals by DataRoot University Click
  
• Google for Developers: Machine Learning Bootcamp Ukraine Program description
• DeepLearning.AI TensorFlow Developer Professional Certificate Click
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning,
    and Deep Learning
  • Convolutional Neural Networks in TensorFlow
  • Natural Language Processing in TensorFlow
  • Sequences, Time Series and Prediction
• TensorFlow Developer Certificate Credential
• Grow your career with Google Cloud: AI & Data (Ukraine) Program description
• Grow your career with Google Cloud (Poland) Program description
• JetBrains Academy (Hyperskill)
  

I am interested in machine learning and
computer vision. I have experience with
TensorFlow, PyTorch and OpenCV. I am
still learning and trying to improve my
skills in this field. I am also interested in
TinyML and EdgeAI.
I have completed several courses in this
field and have some certificates. I learned
basics of machine learning algorithms, such as linear regression, logistic regression, neural networks, K-means clustering, PCA, SVM.
I also learned how to use TensorFlow, using CNN, RNN, LSTM. I have small experience with OpenCV, I used it for detecting
system on Raspberry Pi for robot. I also have experience with TinyML, I used TensorFlow Lite on Arduino Nano 33 BLE.
Now I am working on my own project, that includes detecting objects on the aerial images.
Still a lot to learn, still need to build more solid knowledge and experience.