The profile of Sumit and their contact details have been verified by our experts
Sumit
- Rate 36 GHS
- Response 24h
-
Students1
Number of students Sumit has accompanied since arriving at Superprof
Number of students Sumit has accompanied since arriving at Superprof
36 GHS/hr
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- Python
- Programming languages
- SQL
- Artificial Intelligence
AI Engineer specializing in Computer Vision teaching Machine Learning, Deep Learning and LLM Fine-Tuning through hands-on projects
- Python
- Programming languages
- SQL
- Artificial Intelligence
Lesson location
About Sumit
My journey into AI started with curiosity about how machines can learn from data and make intelligent decisions. Over time, this curiosity turned into deep technical expertise through continuous learning, experimentation, and building projects. Teaching allows me to share that experience and help others navigate the complex world of AI in a much simpler and structured way.
I believe knowledge becomes more valuable when it is shared. That is why I focus on making difficult concepts easy to understand while guiding students through practical examples and real-world projects. My goal is not only to help students learn theory but also to help them build confidence in applying AI concepts independently.
I aim to create a supportive and professional learning environment where students feel comfortable asking questions, exploring ideas, and developing the skills needed to grow in the field of Artificial Intelligence.
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +20
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
University education
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Pre school
Beginner
Intermediate
Advanced
Professionel
Others
Child
- English
All languages in which the lesson is available :
English
As a Computer Vision Engineer and AI tutor, my teaching approach focuses on practical understanding and real-world implementation rather than only theory. I simplify complex Machine Learning, Deep Learning, and Computer Vision concepts by connecting them with intuitive explanations and hands-on coding examples.
A typical class begins with a short conceptual explanation, followed by live coding, problem-solving, and project-based learning. Students implement models, analyze results, and learn debugging techniques so they understand how AI systems work in real applications.
One of my key strengths as a teacher is breaking down difficult topics like neural networks, computer vision pipelines, and LLM fine-tuning into simple steps. I also emphasize industry practices, model optimization, and deployment concepts so students gain skills that are useful beyond academics.
My classes are designed for college students, beginners entering AI/ML, working professionals, and anyone interested in learning practical Machine Learning, Deep Learning, and Computer Vision from the ground up.
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Rates
Rate
- 36 GHS
Pack prices
- 5h: 166 GHS
- 10h: 320 GHS
online
- GHS36/h
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