Deep Learning Theory and Practice
- Course Code HU0F0S
- Duration 2 days
Course Delivery
Course Delivery
This course is available in the following formats:
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopThis training covers the foundations of artificial intelligence and machine learning, with special focus on deep learning. Best practices in managing deep learning projects will be shared. Hands-on labs in Python, TensorFlow and Keras will be provided to deepen student understanding.
Course Schedule
Top-
- Delivery Format: Virtual Learning
- Date: 02-03 February, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date: 11-12 May, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date: 17-18 August, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date: 16-17 November, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (GMT Standa)
- Language: English
Target Audience
TopThis course is ideal for data scientists, software developers, solution architects, project managers, researchers and other IT professionals looking to understand deep learning, and to develop and deploy deep learning solutions
Course Objectives
TopAt the conclusion of this course, you should be able to:
• Understand general terms and background of deep learning
• Leverage pre-trained deep learning models in image classification, object detection and natural language processing
• Know the best practices in managing deep learning projects
• Get basic understanding on deep learning application development using Python, TensorFlow and Keras