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Introduction to Artificial Intelligence (AI) Basics to Advance

Artificial Intelligence (AI) is transforming industries and reshaping how we interact with technology. This course is designed for individuals interested in understanding the fundamentals of AI, its applications, and its impact on society. Whether you're a complete beginner or have some prior knowledge, this course will provide you with a solid foundation in AI concepts and techniques.

In this course, you will learn about:

Understanding AI Fundamentals:
Explore the core principles of artificial intelligence, including machine learning, deep learning, and natural language processing.

AI Applications:
Discover how AI is being used across various sectors such as healthcare, finance, automotive, and entertainment.

Data and Algorithms:
Gain insights into the importance of data in AI and learn about the algorithms that power machine learning models.

Ethics in AI:
Discuss the ethical implications of AI technologies and their societal impact, including bias, privacy concerns, and job displacement.

Hands-On Projects:
Engage in practical exercises that will allow you to apply your knowledge by working on real-world AI projects.

Extra information

Please bring your own Laptop and study materials.

Location

At student's location: Around Riyadh, Saudi Arabia
Online via webcam

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General info

Age:
Infants (0-3 years old)
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in:English

About Me

A dedicated professional with a strong background in Computer Science and Artificial Intelligence, this individual holds a Bachelor's degree in Computer Science from Hazara University, completed in 2022. I have gained valuable experience as a university instructor, specializing in AI, with a teaching methodology that blends practical and conceptual approaches, emphasizing project-based learning and problem-solving.

My research interests include machine learning applications in sports analytics and medical imaging. Notably, my final semester research involved predicting the winner of the Pakistan Super League using machine learning, achieving an impressive 92% accuracy with a Logistic Regression Classifier. I am currently pursuing further academic growth through an MS in AI at MIT.

With a practical approach to teaching and research, this professional is actively engaged in collaborating with leading academics and experts in the field, aiming to contribute significantly to the advancement of AI and its applications.

Education

University: Hazara University, Mansehra, Pakistan
Degree: Bachelor of Science in Computer Science
GPA: 3.2/4.0
Year of Graduation: 2022
Notable Achievements: Conducted research on AI-based solutions and machine learning applications, specializing in sports analytics and medical imaging.

Experience / Qualifications

1 year of university teaching experience in Artificial Intelligence.
4 years of academy teaching experience In Maths, Physics, and Science.
Research in machine learning for sports analytics and medical imaging.
Developed a machine learning model predicting the Pakistan Super League winner with 92% accuracy.
This course provides an in-depth exploration of the fundamental concepts in Physics, Mathematics, and Science, tailored for students of all levels. It covers essential topics in Physics such as mechanics, electromagnetism, and thermodynamics; core areas in Mathematics like algebra, calculus, and geometry; and foundational principles of Science that include chemistry and biology. The course aims to build a strong understanding of these subjects through a balanced mix of theoretical lessons and practical exercises. Students will develop problem-solving skills and analytical thinking, preparing them for academic excellence and real-world applications. Whether you are a beginner looking to strengthen your basics or an advanced learner aiming to master these disciplines, this course offers a comprehensive guide to achieving your goals.

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Availability of a typical week

(GMT -04:00) New York
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0  Monday at 0:00  Tuesday at 0:00  Wednesday at 0:00  Thursday at 0:00  Friday at 0:00  Saturday at 0:00  Sunday at 0:00
1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
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from 28.04€Online via webcam
from 28.04€At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since September 2024
  • Phone number verified
  • Google connected

Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
0  Monday at 0:00  Tuesday at 0:00  Wednesday at 0:00  Thursday at 0:00  Friday at 0:00  Saturday at 0:00  Sunday at 0:00
1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
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from 28.04€Online via webcam
from 28.04€At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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