Our Trainers, hands-on, supporting team
Dr. Rukhsan ul Haq
CEO (CQAI)
Junaid Akhter
Cofounder and CTO (CQAI)
Moeen Ul Islam
Trainer/R and D Engineer
Zuhaib khaki
AI Engineer
Aaqib Bashir
Jr.Data Scientist
Tufail Ahmad Shah
Instructor
Our Unique Training Program
We live in a post ChatGPT world where AI is everywhere. Data Science is the hottest career opportunity of 21st century. To get you ready for this exciting career Chinar Quantum AI (CQAI) is super- excited to offer you a tailored training course backed up by 24×7 technical support. The course is one of the best with the following three core unique features.
1. We bring to you top-quality course content including interactive sessions, code notebooks and invited sessions from industry experts.
2. The course is affordable having orders of magnitude lesser charges than others in the market.
3. The course offers personalised, customised and intensive mentorship through which you will get technical support at every step of your journey.
Data Analytics using Python
Data science employs a multifaceted approach to derive insights from data. Data analysis systematically uncovers patterns and trends. Visualization leverages graphical representation for clarity. Statistical modeling uses mathematics to predict and infer, empowering data-driven decision-making across diverse fields.
Machine Learning for Industrial Applications
In-depth study of ML delves into the exploration of algorithms and techniques, equipping practitioners with the knowledge required for predictive modeling. This comprehensive understanding of machine learning empowers data scientists and AI professionals to build accurate and robust models across various domains.
Deep Learning and Generative AI
Advanced deep learning courses cover intricate subjects like GANs, CNNs, and RNNs. Specialized CNN training explores advanced architectures such as ResNet and Inception, while RNN courses focus on sequence-to-sequence models. These courses provide vital knowledge complex AI challenges and fostering innovation.