Course Details
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Deep Learning
Course Overview
The Deep Learning Essentials course is designed to provide participants with a hands-on introduction to modern AI technologies. This physical, instructor-led training offers a focused path into deep learning with practical implementation of real-world applications like image classification, time series forecasting, and computer vision.
Learners will explore core machine learning concepts before diving deep into neural networks, convolutional neural networks (CNNs), and tools like OpenCV. Whether you’re aiming to break into the AI field or enhance your current skill set, this course equips you with the essential knowledge and practical experience to apply deep learning in your own projects.
Learning Outcomes
By the end of the course, participants will be able to:
Understand core concepts of machine learning and how they relate to deep learning.
Build and train basic neural networks using popular Python libraries.
Perform image classification using Convolutional Neural Networks (CNNs).
Apply transfer learning to solve advanced vision problems with limited data.
Use OpenCV for real-time image and video processing tasks.
Forecast trends and future outcomes using time series data.
Courses
Meet Our Teacher
Name : Engr. Safdar Munir
Designation : Trainer
Experience : 7 years
Safdar Munir is a multidisciplinary professional with expertise in AI, IoT, robotics, and digital media. With a strong background in teaching, project leadership, and creative content development, he has contributed to several tech education initiatives, startups, and institutions. Safdar is passionate about empowering youth through technology and innovation.
