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👨‍🏫 Your Personalized Python Teacher | One-on-One Interactive Sessions Led by Working Professionals 🚀

Private Python Lessons In-Home / Online Tutoring

Education Comes to You – Learn Anytime, Anywhere!

What Do I Teach?

As a professional AI Engineer, I specialize in teaching Python programming, Machine Learning, Generative AI, and IoT. My courses focus on building a solid foundation in Python and gradually advancing to real-world applications of AI and IoT, preparing students to work with the latest technologies in these fields.

Artificial Intelligence

I teach Artificial Intelligence (AI) concepts, including Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI. My courses focus on understanding the underlying principles, algorithms, and techniques that power AI systems, with a strong emphasis on practical applications. Students will learn how to tackle real-world problems through AI-driven solutions, using tools like TensorFlow, PyTorch, and other relevant libraries to build intelligent systems.

IoT

I teach IoT concepts through hands-on projects, where students gain practical experience with devices like Jetson Nano, Raspberry Pi, and ESP32. The curriculum includes building real-world IoT solutions and applications, focusing on connectivity, sensor integration, data processing, and device communication. Students learn how to create smart systems, from basic prototypes to fully-fledged IoT solutions, using popular platforms and technologies in the industry.

Python Advanced

​I teach advanced Python concepts, such as context managers, decorators, generators, multithreading, multiprocessing, asynchronous programming, Python memory management, and frameworks like Flask API, Django, and FastAPI. My courses prepare students for building scalable and efficient applications using these tools, whether it's for web development or other advanced Python applications

Machine Learning

I teach the fundamentals and advanced techniques of Machine Learning, covering topics such as supervised and unsupervised learning, regression, classification, clustering, and reinforcement learning. Students learn how to apply algorithms to solve real-world problems, using popular machine learning libraries like Scikit-learn, TensorFlow, and Keras. 

Hear from our Students! 


Explore what our students have to say about their journey with The Python Teacher. Real experiences, real progress, and real success stories— read their reviews here!

This journey has been truly transformative, helping me strengthen my fundamentals while learning to conceptualize and develop my own projects. Along the way, I created exciting projects and continuously improved them by integrating feedback and exploring new techniques. I highly recommend this experience to anyone seeking to solidify their foundation and sharpen their project-building skills—it’s both rewarding and empowering.

Andrew, TN

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