FUNDAMENTALS OF DEEP LEARNING

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COURSE OVERVIEW

This course introduces the core principles of deep learning in an accessible and practical way, designed for professionals without programming experience. It demystifies how deep learning models work, their real-world applications, and the strategic insights they provide. Participants will gain foundational knowledge of neural networks, the steps involved in implementing deep learning, and how it drives decision-making in businesses. The course focuses on conceptual understanding and use cases, ensuring participants can confidently communicate with technical teams and apply deep learning knowledge to organizational strategies and projects.

 

COURSE OBJECTIVES

By completely attending this course, participants will be able to:

  • Understand the fundamental principles of deep learning.
  • Recognize the structure and purpose of neural networks.
  • Identify real-world applications of deep learning in business.
  • Assess the strengths and limitations of deep learning models.
  • Evaluate ethical considerations in AI initiatives.

 

NOTE:

This course requires participants to bring their own laptops with a Windows operating system and Python 3.x fully installed.

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TARGET COMPETENCIES

  • Deep Learning Basics
  • Neural Network Principles
  • Real-World Applications
  • Model Evaluation
  • Ethical Considerations

This course is tailored for professionals who want to understand deep learning concepts without programming requirements.

  • Business Managers
  • Marketing Professionals
  • Product Managers
  • Consultants
  • Analysts

This course employs instructor-led sessions, interactive demonstrations, simplified visuals, and relatable examples to ensure concepts are easy to grasp for non-technical professionals.

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