AI / AR 

for 

iOS and macOS

July, 23-25 2018 - San Francisco, CA

Through an advanced, immersive, and comprehensive iOS training, programmers become modern, innovative iOS developers.

REGISTER HERE

Cancellation Policy

Training fees are fully refundable before the registration closing date. After the registration closing date training fees are non-refundable if attendee cancels. iNVASIVECODE reserves the right to cancel or change the location and date of training classes, in which case full refund will be offered.

PREREQUISITES

Fundamental Computer Science skills; Object-oriented programming basics; Experience in Swift or Objective-C. Familiarity with Xcode.

We do not provide a computer for the class. Please, make sure to bring your own computer with the latest version of Xcode already installed. You can download the latest version from the Mac AppStore or from the Apple Developer Website.

CLASS DESCRIPTION

Our training days are typically eight hours long. Usually from 9am to 6pm with lunch provided. For each topic we are sure to be both informative and interactive. We cover the key concepts first and then complete exercises that engage what we have learned. We strive to make our training relevant and unique. Therefore we tailor each training classes to the needs of the students, creating variety from class to class.

FREQUENTLY ASKED QUESTIONS

For more information check our Frequently Asked Questions.

TRAINING TOPICS

We are passionate about iOS applications and enjoy sharing this passion with others. Our training is designed for developers interested in using the latest technologies to create innovative cutting edge applications that enhance the user experience. All of our training material is written in house and consistently updated. We also offer follow up consulting to all our clients to ensure that the material learned in training is used effectively. Ultimately, our goal is to provide an unparalleled tight knit learning environment that allows our clients to continue to push iOS development further.

AI / AR for iOS and macOS

Accelerate

Digital Signal Processing with vDSP. Large vector manipulation with vecLib. BLAS. Image Processing with vImage. Importing from and exporting to Core Graphics. Core Video interoperability. 

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AVFoundation

Capture images and video. Capture depth. Capture faces and machine readable codes with AVFoundation. Read and write a video file.

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Metal

Fundamental components. GPU resources. GPU functions. GPU commands. Rendering pipeline and render commands. Vertex and fragment shaders. 

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Keras and TensorFlow

Neural networks. Convolutional Neural Networks. Recurrent Neural Networks. Introduction to Keras and TensorFlow. 

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CoreML

Exporting Keras and TensorFlow models to CoreML. Integrating a CoreML model in an iOS app. Integrating custom layers in CoreML. CNN and CoreML. RNN and CoreML.

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Metal Performance Shaders and Accelerate

Using Metal for image and video processing. Custom compute shaders. Using MPS for Image Processing and Matrix Operations. 

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SceneKit

Node graph. Geometries. Geometry sources and geometry elements. Materials. Lights. Physically-based Rendering. Animations in SceneKit. Metal custom shaders in SceneKit. Importing 3D objects using Model I/O.

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ARKit

ARSession and ARConfiguration. ARKit views. ARAnchor. ARCamera and ARFrame. World tracking with ARKit. Handling 3D interactions in ARKit. 3D face tracking. Light management.

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GameplayKit and AI for video games

Decision trees. Path finding. Agents, Goals and Behaviors. Procedural Noise. Randomization. Rule systems.

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