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Neuro Symbolic AI
Rating: 4.1 out of 5(7 ratings)
25 students

Neuro Symbolic AI

The fusion of Neural Learning and Symbolic Reasoning
Created byGagan Deep Ahuja
Last updated 11/2025
English
English [Auto],

What you'll learn

  • Grasp the differences between neural and symbolic systems.Grasp the differences between neural and symbolic systems.
  • Understand how combining them leads to more explainable and trustworthy AI.
  • Explore cognitive science foundations and how they influence model design.
  • Build hybrid models that fuse neural networks and logic-based reasoning.
  • Apply neuro-symbolic approaches in domains like: Healthcare diagnostics , Intelligent tutoring systems , Robotics decision-making

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Course content

6 sections • 17 lectures • 1h 28m total length

  • What it is and why it matters.2:39

    Explore neuro symbolic ai by blending neural networks with symbolic reasoning to ground language models in logic and facts, reducing hallucinations and explaining decisions to build trust.

  • Comparison to traditional AI and symbolic systems.4:47

    Neuro-symbolic AI fuses neural pattern recognition with symbolic reasoning to deliver more explainable, reliable, and data-efficient intelligence, addressing gaps in symbolic and deep learning approaches across healthcare, finance, and robotics.

Requirements

  • Basic Python programming
  • Intro to Machine Learning
  • Logic & Reasoning Concepts

Description


Neuro-Symbolic Computing: Where Logic Meets Learning

Are you fascinated by the power of deep learning but frustrated by its lack of interpretability? Do you believe that true intelligence lies in the fusion of data-driven models with structured reasoning? Then this course is your gateway to the future of AI.

Neuro-symbolic computing combines the raw learning power of neural networks with the clarity and structure of symbolic logic. In this hands-on, project-driven journey, you’ll learn how to build intelligent systems that reason, explain, and adapt — just like humans do.

What You'll Unlock

  • Learn to blend machine learning and symbolic logic in a way that mimics human cognition

  • Build AI systems that are transparent, interpretable, and ethical

  • Explore cutting-edge tools like Problog, PyDatalog, and neural-symbolic frameworks

  • Design models for real-world applications, from scene understanding to medical diagnostics

Why This Course Stands Out

  • It’s not just technical — it’s transformative

  • You’ll gain a future-ready skill set that merges two traditionally separate domains

  • Perfect for students, researchers, developers, and content creators ready to level up their understanding of intelligent systems

This isn’t just an AI course. It’s a new way of thinking. If you’re ready to challenge conventional boundaries, create meaningful models, and join the next wave of AI evolution — then step right in.


Who this course is for:

  • AI developers and data scientists looking to expand into hybrid models
  • AI developers and data scientists looking to expand into hybrid models
  • Content creators or educators exploring explainable AI systems

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