Online Researcher-led Training
The "Online Researcher-led Training" is an 18-day course focused on applied AI and deep learning techniques using Python for data analysis. Participants work with numerical datasets (cervical cancer, diabetes, fetal health, CKD, liver) and image datasets (MRI, CT-scan, X-ray).
M.Engr in ICT at BUET
36 hours total • 18 days • 2 hours per day
Live online training on applied AI & deep learning with Python.
Projects included
Certificate
Includes projects, slides, and session recordings.
Guided problem-solving & lifetime community access.
Pick the live cohort for direct mentorship or study at your own pace with the recorded edition. Both options include lifetime community access.
Live cohort
Elevate Your Career with Expert Mentoring & Real-World Projects!
$200
Self-paced
Learn at your own pace, anytime, anywhere.
$100
Get Full Access Within 24-48 Hours
Alumni share how the program unlocked promotions, research collaborations, and the confidence to design reliable AI workflows.
"Engr. Golam Rabbany's teaching style is top-notch. He simplifies complex topics and ensures every student is on the same page. Truly inspiring!"
Sunny Henry Gomes
Defense Student
"This program didn't just teach me AI and Deep Learning; it opened doors to international research opportunities. It's worth every penny!"
Shabnur Anonna
Research Student, Tokyo, Japan
"I never thought AI could be this accessible. The practical examples and step-by-step guidance made learning seamless. Highly recommended!"
Amlan Kumar Sarkar
Assistant Professor, Panjab India
"The Applied AI & Deep Learning with Python for Data Analysis course provided exceptional insights and practical knowledge."
Mashiur Rahman
Junior Web Developer
"The course content is so well-structured. From basic Python to advanced AI applications, every module is designed to build expertise step by step."
Majbaul Haque
Software Developer
"Yes I recommend this course to them who are interested in research field. Because this course is teaching us how to integrate machine learning in research."
Mohammad Kabir Hosen
Research Assistant
"Yes I recommend this Subject. By doing this we can learn and good at our skill in Machine Learning and Deep Learning"
Sanyaukta Das Bristi
Student
"Yes, I would recommend the AI and Deep Learning course to others... A well-balanced course with both theory and hands-on practice is ideal for truly understanding AI and Deep Learning."
Dalia Akter
Defense Student
"Yes. Teacher is highly experienced"
Mirza Sanower Hosen
Businessman
"I recommend this course to other because my experiance was good"
Thasnia Jannat Sani
Student
"Yes, of course I will tell others to take this course because I have never seen a completely project-based course online for such a low price. And sir is very sincere in explaining."
MD MOINUDDIN
TEACHER
"Yes. I definitely recommend my circle to do this amazing course. Because this course can help a person build a good career... This will be an amazing opportunity to make something better in life."
Joy Chandro Roy
Student
Welcome to WINGS - Institute of Research, Innovation, Incubation and Commercialization, founded by Engr. Golam Rabbany, a dedicated educator, researcher, and industry expert with over 6 years of teaching experience. I specialize in Applied AI, Deep Learning, and Python for Data Analysis, offering transformative learning opportunities for students and professionals globally.
M.Engr in ICT at BUET
Over 6 Years of Expertise in Teaching with a hands-on, practical approach.
Wingsiriic bridges applied research and day-to-day engineering. We train teams to treat AI as a regulated product — documented, explainable, and deployable with clinical rigor.
Our work spans patents, international journals, and industry-funded research collaborations.
Collaborating with leading institutions and organizations to foster innovation.
Research Collaboration
View 4 PhotosOur network of ambassadors and partners representing Wingsiriic across the globe.
Advisor
Director & Coordinator (International)
Reach us through your preferred channel and the mentoring desk will respond within one working day.
Average response time: under 12 hours
Saturday – Tuesday • 9 AM – 6 PM
Always-on for urgent cohort queries
Livestream debriefs, alumni showcases, and open office hours.