AdvancedAI & MLLive Data
AI2: Artificial Intelligence Foundations
Master AI fundamentals, machine learning algorithms, and computer vision techniques. Build intelligent systems that can learn from data, process langu...
AdvancedAI & MLLive Data
AI2: Artificial Intelligence Foundations
Master AI fundamentals, machine learning algorithms, and computer vision techniques. Build intelligent systems that can learn from data, process langu...
Lessons
18
Activities
18
Projects
7
Duration
24 sessions • 6 months
About This Course
Master AI fundamentals, machine learning algorithms, and computer vision techniques. Build intelligent systems that can learn from data, process language, and understand images.
Prerequisites
- Basic programming knowledge (preferably Python)
- Computer with internet connection
- Google account for Google Colab
Skills You'll Learn
AIMachine LearningPythonDeep Learning
This course consists of 24 structured sessions over 6 months. Each session includes lessons, activities, projects, and assessments to ensure comprehensive learning.
1
Introduction to AI
Lesson MaterialsActivity
2
Machine Learning + Supervised and Unsupervised Learning
Lesson MaterialsActivity
3
Machine Learning Process + Data Preparation
Lesson MaterialsActivity
4
Regression + Classification
Lesson MaterialsActivity
5
Project 1: Instagram Reach Analysis
Activity
6
Project 2: Titanic Survivors Classification
Activity
7
Clustering
Lesson MaterialsActivity
8
Project 3: Mall Customer Segmentation
Activity
9
Natural Language Processing + Text Processing
Lesson MaterialsActivity
10
Project 4: Chatbot
Activity
11
Streamlit
Lesson MaterialsActivity
12
Quiz 1
Lesson MaterialsActivity
13
Computer Vision + OpenCV
Lesson MaterialsActivity
14
Image Processing + Drawing with OpenCV
Lesson MaterialsActivity
15
Object Detection using Haar Cascades
Lesson MaterialsActivity
16
Project 5: Face Detector
Activity
17
Object Detection with YOLO Algorithm
Lesson MaterialsActivity
18
Project 6: Custom Object Detection with YOLOv8
Activity
19
Deep Learning + Image Classification
Lesson MaterialsActivity
20
Quiz 2
Lesson MaterialsActivity
21
Final Project Proposal
Activity
22
Final Project Prototype
Activity
23
Final Project Presentation
Activity
24
Graduation
Lesson MaterialsActivity
Course Information
Course CodeAI2
Age Group13 years old and above
Class SizeMax 8 students
Teacher Ratio1:8
Learning ModeHYBRID
Last Updated4/11/2026
Data SourceGitHub
Key Benefits
AI
Master AI through practical application
Machine Learning
Master Machine Learning through practical application
Python
Master Python through practical application
Learning Outcomes
Practical Skills
Build real-world applications and projects
Problem Solving
Develop computational thinking and problem-solving abilities
Ready to Start?
Join this course and start your learning journey today.