In this paper, we formulate a new artificial intelligence based deep learning formulation to solve engineering applications in domains, heat transfer (2D,3D), strength of materials (2D,3D), design of machine elements, 3D component analysis, 3D assembly analysis, fluid dynamics (2D,3D), Kinematics/Vibrations/control (2D, 3D). Our deep learning based Distributed Artificial Neural Network (DANN) formulation showed six orders of magnitute speed up in computational time and needed an everyday use laptop, not necessiating high end super computer servers for engineering applications analysis. Further, the accuracy of the engineering solution showed 99.9% accuracy and comparable to the conventional existing engineering applications analysis results.