What is the price of the Training ARKit - Develop Immersive AR iOS Apps training?

The price of the Training ARKit - Develop Immersive AR iOS Apps training is 4200€ HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training ARKit - Develop Immersive AR iOS Apps training?

The Training ARKit - Develop Immersive AR iOS Apps training takes place over 3 journées. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training ARKit - Develop Immersive AR iOS Apps training are: Expertise in Swift 5+, advanced iOS development, Metal or SceneKit, recent Xcode. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training ARKit - Develop Immersive AR iOS Apps training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training ARKit - Develop Immersive AR iOS Apps | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training ARKit - Develop Immersive AR iOS Apps training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training ARKit - Develop Immersive AR iOS Apps training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training ARKit - Develop Immersive AR iOS Apps training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Master advanced ARKit APIs to create professional AR experiences

Develop real-time plane and 3D object detection with ARKit

Implement certified facial tracking and body motion capture for business

Optimize AR performance and rendering for iOS with RealityKit

Design complex and multimodal AR interactions

Deploy scalable ARKit applications in professional production

Integrate ARKit into business workflows for sustainable skills

Training program

Module 1Advanced ARKit: Spatial Detection and Anchors (RealityKit, SwiftUI, LiDAR)

Dive into expert ARKit configurations with ARWorldTracking sessions, hands-on with RealityKit for dynamic anchors and advanced plane detection via LiDAR on iPhone Pro, practical exercises on tracking real 3D objects in business environments, creation of a first immersive prototype with realistic occlusion, iterative tests on Xcode Simulator and physical device to validate spatial robustness, deliverable of a base AR certifying module.

Module 2ARKit Human Tracking: Faces and Bodies (ARKit 4+, Machine Learning)

Explore ARKit facial tracking with blendshapes and realistic expressions, implement body tracking via ARBodyTrackingConfiguration for precise motion capture, integrate Core ML for emotion and complex gesture recognition, hands-on workshops on concrete cases like AR avatars in e-commerce or industrial training, optimize human meshes for smooth performance, collaborative development of an interactive scene with multimodal interactions, production of a tracking component ready for business deployment.

Module 3ARKit Production: Optimization and Deployment (SceneKit, App Store)

Master ARKit optimization with advanced occlusion, dynamic lighting and particle systems via SceneKit, scaling for multi-user and AR Quick Look, persistent integration with ARAnchors and World Maps for recurring experiences, exercises on expert debugging with Instruments and Reality Composer Pro, finalization of the thread project with App Store Connect packaging, peer-to-peer code review and post-launch maintenance plan, complete deliverable of a deployable professional AR app.