Login | Register
Dashboard
Login | Register
Dashboard

Artificial Intelligence (AI) & Machine Learning (ML) with Python

Wishlist Share

About Course

Course by:

Course by: IT Business Incubator,
CUETCollaborating Partner: Diligite Ltd.
Contact Information: 3rd Floor, Multipurpose Building, ITBI,CUET
Phone: ‪+88 01731-711434‬, ‪+88 01620-677963,+88 01978-464904 (Whatsapp)
Email: itbicuet@gmail.com | training@itbi-cuet.com

Apply for Waiver
View the Course Brochure

Apply for a Course Fee Waiver

We are committed to making learning accessible to everyone, regardless of their financial background. If you’re facing challenges, you can apply for a waiver on the course fee before enrollment. Each application is carefully reviewed, and in most cases, eligible students are granted a waiver. If approved, you will receive a confirmation email from ITBI. Submit your waiver Application now to get started.

Submit Application

Learning Outcomes

By the end of this course, participants will:

  • Gain proficiency in essential AI concepts, including machine learning, NLP, and computer vision, to enhance employability
  • Develop foundational skills in probability, statistics, basic linear algebra, and programming necessary for AI applications.
  • Engage in in-depth sessions covering AI fundamentals, machine learning algorithms, NLP techniques, and computer vision principles.
  • Apply acquired knowledge and skills to real-world problems through a capstone project, preparing for internships and job opportunities in the AI industry.

Schedule

Batch – 01(Offline) : Friday & Saturday 10 am to 1 pm
Batch – 02(Online) : Friday & Saturday 7 pm to 10 pm

Pre-requisites

  • Basic knowledge of probability and statistics
  • A foundation in linear algebra
  • Basic programming knowledge in Python

Course Coordinator:

Professor Dr. M. Moshiul Hoque
Professor, Dept of CSE, CUET
Director, IT Business Incubator, CUET
Director, Institute of Information and Communication Technology (IICT), CUET
Former Dean, Faculty of Electrical & Computer Engineering, CUET
Former Chair, IEEE Bangladesh Section

Trainers

Md. Asif Iqbal
Sr. Assessment Developer, Workera.ai
Head of R&D, Diligite Ltd
Trainer, BDSET Project (AI & ML), BHTPA.

Fatima Jahara
Alpha Testing Consultant, DeepLearning.AI

Dipon Talukder
Sr. Assessment Developer, Workera.ai
Adjunct Lecturer, Dept. of CSE, East Delta University
Trainer, EDGE IICT CUET DST

Md. Refaj Hossan
Lecturer, Dept. of CSE, CUET

Course Modules

This course is divided into the following six modules to address the concept of AI better.

1) AI & ML Essentials
2) Artificial Intelligence
3) Machine Learning
4) Natural Language Processing (NLP)
5) Computer Vision
6) Capstone Project

AI Tools and Libraries:

  • Introduction to AI frameworks (TensorFlow, PyTorch, etc.)
  • Using pre-trained models
  • Hands-on programming and implementation

Book Recommendation:

1) The Hundred-Page Machine Learning Book by Andriy Burkov

 2) Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras, by Benjamin Planche, Eliot Andres. 

FAQ

This course is designed for individuals interested in pursuing a career in Artificial Intelligence and
Machine Learning. Ideal participants should have:

  • Basic knowledge of probability and statistics
  • A foundation in linear algebra
  • Basic programming knowledge in Python
Our courses will be conducted by a combination of faculty from CUET and industry experts, ensuring a comprehensive and practical learning experience.
We offer the course in both formats. You can enroll in either an online or offline batch, depending on your convenience.
No specific qualifications are required to enroll. However, having a basic understanding of mathematics and statistics will make it easier to grasp machine learning concepts
Yes, recordings of each class along with additional educational materials will be accessible on your dashboard within 24 hours after the class concludes.
Upon successfully completing the course and passing the assessment, you will receive a certificate issued by CUET. This certificate will serve as proof of your skills and knowledge.

Yes, waivers are available. To apply, accurately fill Waiver Application form and submit it. After submission, you will need to take an online assessment test. Based on your application, CV, and assessment results, waivers ranging from 20% to 30% may be granted.

You can enroll either online through our website (www.itbi-cuet.com) or by visiting the office directly. Register on our website and select your desired course by clicking the ‘Add to Cart’ button. If you have a waiver coupon, apply it before confirming your cart. Then, proceed to checkout and complete your payment using the SSLCommerz gateway. For detailed instructions, please refer to the file: Enrollment Process.

Yes, you can enroll in multiple courses. However, please ensure that the schedules of the courses do not overlap.

Generally, batch changes are not permitted. However, you may contact the authorities for special circumstances to discuss your request.

Generally, batch changes are not permitted. However, you may contact the authorities for special circumstances to discuss your request.

Course Content

AI & ML Essentials

  • Prerequisite Class – 01 : 14 August 2026| Introduction to artificial intelligence
    01:53:18
  • Prerequisite Class – 02 | 15 August 2026 | Python Programming
    02:00:34
  • Class 01| 21 August 2026| Python Programming
    02:18:47
  • Class 02 | 22 August 2026| Python Programming
    02:23:12
  • Class 03| 28 August 2026| Python Programming
    02:44:00
  • Class 04 | 29 August 2026| Paython Programing
    02:43:32
  • Class 05| 04 September 2026| Python Programming
    02:39:07
  • Class 06| 5 September 2026| Python Programming
    02:49:09
  • Class 07| 18 September 2026| Probability and Statistics
    02:51:57
  • Class 08| 19 September 2026| Probability and Statistics
    02:09:16

Artificial Intelligence

Machine Learning

Natural Language Processing (NLP)

Computer Vision

Capstone Project

Student Ratings & Reviews

No Review Yet
No Review Yet
Scroll to Top