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Program AI 2 – Artificial Intelligence, Machine Learning, & Computer Vision - Develop skills in AI, machine learning algorithms, and computer vision applications
ADVANCEDai
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Program AI 2 – Artificial Intelligence, Machine Learning, & Computer Vision

Develop skills in AI, machine learning algorithms, and computer vision applications

Duration

24 lessons

Class Size

Max 8 students

Learning Mode

hybrid

6 modules•24 topics•24 lessons•24 total hours

About This Course

This program provides a comprehensive understanding of AI and machine learning, including supervised and unsupervised learning, computer vision, and natural language processing.

Key Learning Outcomes

  • Generative AI

    Implement generative AI models

  • Creative AI

    Build creative AI applications

Course Modules

Course Curriculum

A comprehensive learning path structured in modules

6 modules
24 total topics
24 lessons

1
AI Fundamentals & Ethics

Introduction to AI concepts, history, and ethical considerations

4 lessons

1.1Introduction to AI

Explore the world of artificial intelligence, its history, and major techniques

1.2Machine Learning Basics

Understanding supervised vs. unsupervised learning and parameter tweaking

1.3ML Process & Data Preparation

Learning the complete ML workflow from data collection to model evaluation

1.4Regression & Instagram Analysis

Apply linear regression to predict Instagram engagement based on real data

2
Machine Learning Foundations

Classification algorithms and practical applications with real datasets

4 lessons

2.1Classification Algorithms

Exploring KNN, Decision Trees, Naive Bayes, and other classifiers

2.2Titanic Survivors Project

Apply classification techniques to predict survival outcomes from Titanic data

2.3Clustering & K-Means

Learn how K-Means clustering segments data for marketing insights

2.4Mall Customer Segmentation

Deep dive into customer segmentation with clustering optimization

3
Advanced ML & NLP

Natural Language Processing and chatbot development

4 lessons

3.1NLP & Text Processing

Text preprocessing, feature extraction, and sentiment analysis

3.2Building a Chatbot

Create a simple chatbot using NLP techniques and intents dataset

3.3Streamlit for AI

Build interactive web applications to showcase AI models

3.4Quiz 1

Review AI and ML fundamentals from lessons 1-11

4
Computer Vision Basics

Introduction to computer vision and image processing with OpenCV

4 lessons

4.1Computer Vision & OpenCV

Basic concepts of computer vision and OpenCV installation

4.2Image Processing & Drawing

Advanced image manipulation, drawing shapes, and applying filters

4.3Face Detection

Detect faces using Haar Cascades in images and videos

4.4Object Detection with YOLOv8

Real-time object detection and labeling with YOLOv8

5
Deep Learning & CNNs

Custom object detection and deep learning for image classification

4 lessons

5.1Custom Object Detection

Build custom object detection models with data annotation and training

5.2Deep Learning Fundamentals

Image classification with deep learning and neural networks

5.3Quiz 2

Review computer vision and deep learning concepts

5.4Project Proposal Part 1

Begin conceptualizing your final AI project

6
Final Project Development

Complete your AI project from proposal to presentation

4 lessons

6.1Project Proposal Part 2

Refine and finalize your project proposal with feedback

6.2Project Prototype

Build a working prototype of your AI project

6.3Presentation Preparation

Prepare an engaging presentation to showcase your work

6.4Final Presentation

Present your AI project and celebrate achievements

Key Benefits

Generative AI expertise

Students will work with cutting-edge AI models

Creative AI applications

Students will build innovative AI solutions

Deployment knowledge

Students will learn to deploy AI solutions

Course Details

Information about this course

Duration

24 lessons

Session Length

1 hour

Learning Mode

HYBRID

Age Group

13 years old and above