Artificial Intelligence Courses TutoringNadine Elsaeed
This course provides a comprehensive introduction to Artificial Intelligence (AI), covering fundamental concepts, techniques, and applications. Students will gain practical skills in AI programming and understand the theoretical underpinnings of AI technologies.
What's included
Course Syllabus
A detailed document outlining the course structure, objectives, prerequisites, module breakdown, and assessment methods.
Lecture Slides
Comprehensive slides for each lesson, covering theoretical concepts, practical examples, and key takeaways.
Recorder Video Lectures
Pre-recorded video lectures for each lesson, providing detailed explanations of the topics covered in the slides.
Course Notes
Written notes summarizing each lesson, including important definitions, formulas, and examples.
Python Notebooks
Interactive Jupyter notebooks containing code examples and exercises for hands-on practice.
Hands-on Projects
Practical projects at the end of each module, allowing students to apply their knowledge to real-world problems.
Final Project
A comprehensive project that integrates concepts from all modules, requiring students to develop an AI solution from scratch.
Weekly Q&A Sessions
Scheduled live sessions where students can ask questions and get clarifications on the course material.
Final Mentorship Session
One-on-one mentoring sessions to provide personalized guidance and feedback at the end of the Course.
Nadine's other services
Contact for pricing
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Artificial Intelligence Courses TutoringNadine Elsaeed
Contact for pricing
Tags
Google Docs
Google Meet
Google Sheets
Microsoft Word
Educator
Tutor
This course provides a comprehensive introduction to Artificial Intelligence (AI), covering fundamental concepts, techniques, and applications. Students will gain practical skills in AI programming and understand the theoretical underpinnings of AI technologies.
What's included
Course Syllabus
A detailed document outlining the course structure, objectives, prerequisites, module breakdown, and assessment methods.
Lecture Slides
Comprehensive slides for each lesson, covering theoretical concepts, practical examples, and key takeaways.
Recorder Video Lectures
Pre-recorded video lectures for each lesson, providing detailed explanations of the topics covered in the slides.
Course Notes
Written notes summarizing each lesson, including important definitions, formulas, and examples.
Python Notebooks
Interactive Jupyter notebooks containing code examples and exercises for hands-on practice.
Hands-on Projects
Practical projects at the end of each module, allowing students to apply their knowledge to real-world problems.
Final Project
A comprehensive project that integrates concepts from all modules, requiring students to develop an AI solution from scratch.
Weekly Q&A Sessions
Scheduled live sessions where students can ask questions and get clarifications on the course material.
Final Mentorship Session
One-on-one mentoring sessions to provide personalized guidance and feedback at the end of the Course.
Nadine's other services
Contact for pricing