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إدارة تقنية المعلومات
19467

Fundamentals of Artificial Intelligence and Deep Learning

21-10-2024 To 25-10-2024
Dubai

Artificial Intelligence (AI) and Deep Learning have revolutionized various industries by enabling machines to learn from data and perform complex tasks. This course covers the foundational concepts of AI and Deep Learning, providing participants with the knowledge and skills to develop and implement AI solutions. Participants will learn about neural networks, deep learning frameworks, and practical applications of AI in different domains.

Date :
From 21 Till 25 Oct. 2024
City :
Dubai
Fees :
4500
Date :
From 21 Till 25 Oct. 2024
City :
Dubai
Fees :
4500

Overview

To provide participants with a solid understanding of the fundamentals of Artificial Intelligence (AI) and Deep Learning, enabling them to apply AI techniques and deep learning models to solve real-world problems.

Artificial Intelligence (AI) and Deep Learning have revolutionized various industries by enabling machines to learn from data and perform complex tasks. This course covers the foundational concepts of AI and Deep Learning, providing participants with the knowledge and skills to develop and implement AI solutions. Participants will learn about neural networks, deep learning frameworks, and practical applications of AI in different domains.

Who Should Attend

Target Group:

  • Data scientists and analysts
  • Machine learning engineers
  • AI researchers and practitioners
  • Software developers interested in AI
  • IT professionals and system architects
  • Students and professionals aiming to enhance their AI skills
  • Understand the core principles and concepts of Artificial Intelligence and Deep Learning.
  • Learn the architecture and functioning of neural networks.
  • Develop skills to build, train, and evaluate deep learning models.
  • Gain hands-on experience with popular deep learning frameworks.
  • Explore practical applications of AI and deep learning in various fields.
  • Address challenges and ethical considerations in AI and Deep Learning.

Targeted Competencies

  • Understanding of AI and deep learning principles
  • Neural network design and implementation
  • Building and training deep learning models
  • Application of AI techniques to solve real-world problems
  • Addressing ethical considerations in AI development

Introduction to Artificial Intelligence (AI)

  • Overview of AI and its significance
  • History and evolution of AI
  • Key areas and applications of AI
  • Case studies on impactful AI applications
  • Fundamentals of Neural Networks

  • Understanding neurons and perceptrons
  • Architecture of neural networks
  • Activation functions and their importance
  • Forward and backward propagation
  • Case studies on basic neural network implementations
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