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AI & Machine Learning With Python

By ITBI, CUET Categories: Batch 02
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About Course

Course by:

IT Business Incubator, CUET
Chattogram-4349, Bangladesh.
Phone:
+88 01978-464904, +88 01601-063910

For More Details:

Download the Course Outline
Apply for Waiver

Learn by this Course

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 (Phase - 02.1)

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:

Dr. M. Moshiul Hoque
Professor, Dept of CSE, CUET
Director, IT Business Incubator in CUET
Former Dean, Faculty of Electrical & Computer Engineering, CUET
Chair, IEEE Bangladesh Section

Trainers


1. MD. Asif Iqbal
Sr. Assessment developer, Workera.ai
Head of R&D, Diligite Ltd
Trainer, BDSET Project (AI & ML), BHTPA.
2. Dipon Talukder
Sr. Assessment Developer, Workera.ai
Lecturer, Dept. of CSE, East Delta University
Trainer, EDGE IICT CUET DST

3. Fatima Jahara
Alpha Testing Consultant, DeepLearning.AI

4. Md. Al-Mamun Provath
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

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

Module – 1: AI & ML Essentials

  • Class 02| Basics of Probability and Statistics
    03:14:45
  • Class 02| 30 August 2025 | Correlation and Regression
    02:54:24
  • Class 03| 05 September 2025| Basic Programming Skills 01
    02:48:40
  • Class 04 | 06 September 2025| Basic Programming Skills 02
    02:21:29
  • Class 05| 12 September 2025
    02:29:21
  • Class 06 | 13 September 2025
    02:22:37
  • Class 07 | 19 September 2025| Numpy and Pandas Library
    02:24:06
  • Class 08 | 26 September 2025
    02:05:28

Module – 2: Machine Learning

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