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Ayush
- Rate 61 GHS
- Response 1h
61 GHS/hr
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- Computer programming
- Python
- Artificial Intelligence
- MatLab
Software Development Engineer || Amrita University B. Tech CSE(AI). My goal is to teach and educate society about reusable assets and solutions for real life industrial problems using AI.
- Computer programming
- Python
- Artificial Intelligence
- MatLab
Lesson location
About Ayush
As an Artificial Intelligence Engineering student, I have a unique opportunity to educate and inform the society about AI and its goals. Few of my motives and goals are,
1. Share my knowledge: One of the most effective ways to educate the society about AI is to simply sharing my knowledge and expertise through talks or presentations at schools, community centers, or other public events.
2. Engage with the community: Provide opportunity to joining clubs or organizations that focus on AI and machine learning, or volunteering to work with community groups or schools on AI-related projects. By building relationships with the community and working together on projects can help to build awareness and understanding of AI and its goals.
3. Promote the responsible use of AI: In addition to educating the society about AI, it is also important to promote the responsible use of AI. This could involve highlighting the ethical and social implications of AI, and advocating for policies and practices that ensure the responsible development and deployment of AI technologies. By being a responsible advocate for AI, I would help to build trust and confidence in the technology, and ensure that it is used in a way that benefits society.
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +13
levels :
Primary school
Junior high school
SHS 1
University education
Adult Education
Master's degree
Higher national diploma
Doctor of philosophy
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Pre school
Advanced
Professionel
Others
- English
All languages in which the lesson is available :
English
It is important to start with a strong foundation in the Python language itself. This includes covering topics such as variables, data types, control structures, and basic algorithms. Once the foundations of Python are in place, the next step would be to introduce the concepts of AI and machine learning. This could include topics such as supervised and unsupervised learning, decision trees, and neural networks.
We will cover practical applications of AI, such as natural language processing or image recognition, to give the student a sense of how AI can be applied in the real world. Foundational basics of Linear Algebra, Calculus, Probability & Statistics and Optimizations required will be covered in brief. Hands-on exercises and projects for the student to work on to solidify their understanding of the material.
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Rates
Rate
- 61 GHS
Pack prices
- 5h: 307 GHS
- 10h: 614 GHS
online
- GHS-98/h
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