Since May 2026
Instructor since May 2026
Introduction to Machine Learning & AI (Beginner Friendly)
From 47.97 C$ /h
This class introduces the fundamentals of Artificial Intelligence and Machine Learning in a simple, practical way. Students will learn the basic concepts behind how machines learn from data, without heavy mathematics at the beginning. The course focuses on intuitive understanding along with hands-on examples using Python. Students will explore real-world applications like spam detection, recommendation systems, and simple predictive models. By the end of the class, learners will have built a strong foundation in ML concepts and gained confidence to start building their own AI projects.
Extra information
- Basic knowledge of Python is helpful but not mandatory
- A laptop with an internet connection is required
- All tools and software used in the class are free
- No prior experience in Machine Learning is needed
- The class will include both theory and hands-on coding
- Practice exercises and mini-projects will be given
- Students will receive guidance to build their first AI project
- A laptop with an internet connection is required
- All tools and software used in the class are free
- No prior experience in Machine Learning is needed
- The class will include both theory and hands-on coding
- Practice exercises and mini-projects will be given
- Students will receive guidance to build their first AI project
Location
At student's location :
- Around Passau, Germany
Online from Germany
About Me
I am a Master’s student in Artificial Intelligence at the University of Passau in Germany. Alongside my studies, I have gained professional experience working with companies like Nokia and Codewalla, where I was involved in software and AI-related development work. These experiences helped me understand real-world industry practices, teamwork in professional environments, and how technology is applied at scale.
I have also worked on AI-based projects such as Protego and MoodMate, where I applied machine learning and natural language processing to solve real-world problems. These projects strengthened my ability to move from theory to practical implementation and build meaningful applications.
I enjoy teaching and simplifying complex topics like AI, machine learning, and programming so that beginners can easily understand them. My teaching style is practical, patient, and example-driven, focusing on building strong fundamentals through hands-on learning. I like working with motivated students who are curious and willing to learn step by step. My goal is to make technical subjects simple, interesting, and easy to apply in real life.
I have also worked on AI-based projects such as Protego and MoodMate, where I applied machine learning and natural language processing to solve real-world problems. These projects strengthened my ability to move from theory to practical implementation and build meaningful applications.
I enjoy teaching and simplifying complex topics like AI, machine learning, and programming so that beginners can easily understand them. My teaching style is practical, patient, and example-driven, focusing on building strong fundamentals through hands-on learning. I like working with motivated students who are curious and willing to learn step by step. My goal is to make technical subjects simple, interesting, and easy to apply in real life.
Education
Master’s in Artificial Intelligence Engineering, University of Passau, Germany (Ongoing)
Bachelor of Technology in Artificial Intelligence, SRM University, Chennai, India (CGPA: 9.6/10)
Bachelor of Technology in Artificial Intelligence, SRM University, Chennai, India (CGPA: 9.6/10)
Experience / Qualifications
Hands-on experience in AI/ML project development
Built real-world AI applications focusing on social impact and practical use cases
Experience in Python programming, data analysis, and model building
Strong communication and mentoring experience through academic and community activities
Comfortable teaching beginners and helping them build confidence in technical subjects
Strong academic background in Machine Learning, AI, Natural Language Processing, and Data Analysis
Built real-world AI applications focusing on social impact and practical use cases
Experience in Python programming, data analysis, and model building
Strong communication and mentoring experience through academic and community activities
Comfortable teaching beginners and helping them build confidence in technical subjects
Strong academic background in Machine Learning, AI, Natural Language Processing, and Data Analysis
Age
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
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
Online via webcam
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Contact Annarhysa
1st lesson is backed
by our Good-fit Instructor Guarantee
by our Good-fit Instructor Guarantee
Good-fit Instructor Guarantee
Contact Annarhysa