Artificial Intelligence (AI) & Machine Learning (ML) with Python
About Course
Live Class
7 PM – 10 PM
(Friday & Saturday)
Seats Left
15
About Course
Learn AI and Machine Learning with Python through practical training in ML, NLP, Computer Vision, and hands-on projects at ITBI, CUET
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 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.
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.
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
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
Who can enroll in the AI & Machine Learning with Python course?
Anyone interested in Artificial Intelligence and Machine Learning can enroll. The course is suitable for students, graduates, professionals, and learners from both technical and non-technical backgrounds who want to develop practical AI and ML skills.
Who are the trainers for this course?
The course is conducted by experienced trainers and industry professionals with relevant academic and practical expertise in Artificial Intelligence, Machine Learning, Python, and related technologies.
Is the course available online or offline?
The course is available in both online and offline formats, depending on the batch. Please check the current batch schedule and course page for the available mode.
What qualifications or prerequisites are required?
No specific academic qualification is required. However, basic knowledge of Python programming, mathematics, probability, statistics, and linear algebra is recommended to follow the course comfortably.
Will the recorded classes be available?
Yes. Recorded class sessions are provided to enrolled participants so that they can review lessons and catch up on missed classes.
Will I receive a certificate after completing the course?
Yes. Participants who successfully complete the course requirements will receive a certificate from the IT Business Incubator (ITBI), CUET.
Is a course fee waiver available?
Yes. Eligible applicants may apply for a course fee waiver through the ITBI CUET waiver application process. Waiver applications are reviewed according to the applicable criteria, and applicants are informed about the approved fee.
How can I enroll in the course?
You can enroll through the official ITBI CUET course enrollment process. Visit the course page, review the available batch information, and follow the enrollment instructions provided there.
Can I enroll in multiple courses at the same time?
You may enroll in multiple courses if their schedules do not conflict. However, participants should check the class schedules and course requirements before enrolling in more than one course.
Can I switch to another batch after enrollment?
Batch switching may be possible depending on seat availability and the applicable course policy. Participants should contact ITBI CUET for confirmation before requesting a batch change.
Is accommodation available for offline participants?
Accommodation is not generally included as part of the course. Participants who require accommodation should contact ITBI CUET in advance to ask whether any accommodation-related support or information is available.
Course Content
AI & ML Essentials
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Basics of Probability and Statistics
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Basic Linear Algebra
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Basic Programming Skills
Artificial Intelligence
Machine Learning
Natural Language Processing (NLP)
Computer Vision
Capstone Project
Student Ratings & Reviews
