WSQ Deep Learning (SF) (Synchronous and Asynchronous E-Learning)
About This Course
The "Deep Learning" module provides learners with a comprehensive understanding of key concepts and skills in the realm of deep learning. Covering crucial learning units including Introduction to Computer Vision, Face Recognition and Optical Character Recognition, Image Classification, Introduction to Natural Language Processing, and Conversational Language Understanding, this module offers a robust foundation for those seeking to apply deep learning techniques in practical scenarios.
Through hands-on projects, participants will translate theoretical knowledge into tangible skills. The module commences with the implementation of Optical Character Recognition using the Azure AI Vision portal, allowing learners to gain practical insights into extracting and processing text from images. Subsequently, participants delve into the realm of text analysis using the Azure Language portal, showcasing the application of deep learning in extracting meaningful information from textual data.
By the conclusion of the module, learners will have honed their abilities in computer vision, image classification, and natural language processing. The practical projects not only reinforce technical skills but also instill a proficiency in leveraging deep learning tools for real-world applications, empowering participants to engage in face recognition, text extraction, and analysis tasks using state-of-the-art technologies.
What You'll Learn
Course duration is 130.5
Instructional Units are
1. Introduction to Computer Vision
2. Face Recognition and optical character recognition
3. Image classification
4. Introduction to Natural Language Processing
5. Conversational Language understanding
Knowledge Outcomes:
Deep Learning Fundamentals:
Learners understand key concepts in deep learning, including computer vision, image classification, and natural language processing.
Practical Application Insights:
Participants gain insights into practical applications of deep learning, such as face recognition and text extraction from images.
Tool Proficiency:
Students acquire knowledge of deep learning tools like Azure AI Vision portal and Azure Language portal.
Skills Outcomes:
Data Collection and Pre-processing:
Participants develop skills in collecting and pre-processing data for deep learning tasks, ensuring data quality.
Optical Character Recognition (OCR) Implementation:
Learners efficiently perform OCR on images using Azure AI Vision portal, extracting text information.
Text Analysis Proficiency:
Students extract meaningful insights from textual data using Azure Language Portal and deep learning techniques.
Entry Requirements
Academic Qualification: Minimum 1 credit in O Level or its equivalent
Experience: Minimum 1-year experience in any business process