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Weekly Core Program
Program G:

Artificial Intelligence with Python

Learning more deeply and thoroughly with Artificial Intelligence (AI) and make related projects with the new interesting knowledge.

Key Information:

  • For 13 - 16 years old (No age restriction for Telebort alumni).

  • 24 lessons (Weekly classes).

  • Prerequisite required (Either one of the criteria below is fulfilled): 

    • Completed Telebort Core Program F.

    • Having existing knowledge in programming.

New Intake:

  • July 2022

    • 17th July 2022 (Tentative) 

    • Every Sunday 2PM - 4PM or 5PM - 7PM

  • October 2022

    • 16th October 2022 (Tentative) 

    • Every Sunday 10AM - 12PM

  • December 2022​

    • 31st December 2022 (Tentative)​

    • Every Saturday 10AM - 12PM

What’s included in this program?

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Telebort Dashboard
Pre-recorded lesson videos with easily accessible lesson materials
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Blended Learning Model
Better self-preparation before attending weekly classes
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Creative Hands-on Projects
Apply concepts learnt in lessons and create interesting projects
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Exclusive WhatsApp Support
Friendly assistance from Telebort community expert
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Weekly Online Zoom Class
Meet up with instructors virtually to get feedback and debug projects
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Certificate & Academic Transcript
Receive a certificate and academic transcript upon completion of the program

About this Program

In Program G, students will be able to learn Artificial Intelligence (AI) and make related projects. They will be able to know the process of Machine Learning from getting data, converting data, training the machine with suitable model and testing for output. Moreover, they are exposed to Natural Language Processing, Text Recognition, Image Recognition and many more AI-related projects.
 
This program is exclusively designed for students to learn AI concepts such as Machine learning, Deep Learning, Text Recognition, Image Recognition, etc. At the same time, they can create many AI-related projects via different Python AI libraries.

Course Structure

  • Duration: 24 lessons
  • Hour per lesson: 2 hours
  • Teacher-students ratio: 1 Teacher - 15 Students (Maximum)
  • Suggested Age: 13 to 16 years old (No age restriction for Telebort alumni)
  • Prerequisite (Either one of the criteria below is fulfilled): 
    • Completed Telebort Core Program F.
    • Having existing knowledge in programming.

You will be able to

  • Understand Artificial Intelligence and related knowledge.

  • Create various types of AI projects.

Program Syllabus

Theme 1: AI Fundamentals

  • Chapter 1: Artificial Intelligence (AI)

  • Chapter 2: Machine Learning

Theme 2: Natural Language Processing (NLP) with Scikit-Learn

  • Chapter 3: Scikit-Learn

  • Chapter 4: Natural Language Processing (NLP)

  • Chapter 5: Text Processing

  • Chapter 6: KNN and Popular Classifiers

Theme 3: Artificial Neural Network (ANN) with TensorFlow

  • Chapter 7: Artificial Neural Network (ANN)

  • Chapter 8: Image Classification

  • Chapter 9: Image Classification Process with TensorFlow

  • Chapter 10: Convolutional Neural Network (CNN) with Tensorflow

Theme 4: Computer Vision with OpenCV 

  • Chapter 11: Computer Vision

  • Chapter 12: OpenCV-Python

  • Chapter 13: Drawing with OpenCV

  • Chapter 14: Haar-cascade Detection in OpenCV

  • Chapter 15: Object Detection using Haar Cascades Classifier

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Projects that you will build

Emotion Detection

Create a model to detect the emotion of a human sentence. You can process the sentence to be understandable by machine.

All this can be done by using the Natural Language Processing techniques and Python package: Scikit Learn.

 

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Chatbot

Create a chatbot to chat with you! You can train your chatbot to learn human chat and reply with suitable responses.

All this can be done by using the Natural Language Processing techniques and Python package: Scikit Learn.

 

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Hand Gesture Classification

Create a model to classify Human Hand Gesture. You can train your model to identify the image and classify the image into the correct category. 


All this can be done by using the Image Classification techniques and Python package: TensorFlow.

 

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Face Detector

Create a model to detect human faces on an image or video. You train your model to identify human faces and show the output on the image.
 
All this can be done by using the Object Detection techniques and Python package: OpenCV-Python.

 

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There are a lot more fantastic and interesting projects you will be exploring.

Sharing from our students.
Grab the opportunity and start coding at young!

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He proposed an app “A Bowl of Rice” to solve the problem of World Hunger during the Prototype Presentation in Program B: Mobile Apps Development.

 

"I just want to thanks all the wonderful teachers in Telebort who helped me to overcome my challenges when I first started to learn coding. Moreover, I felt grateful that my parents sent me to Telebort which is a nice place to learn coding. 
 

Joseph Leong Yen Joe, 15 years old

Penang, Malaysia

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