Automotive Engineering Training Courses courses in United States

Introduction to APQP and Quality Planning Concepts • Overview of APQP frameworks and objectives • Importance of quality planning in manufacturing environments • Customer-focused quality and compliance awareness • Product lifecycle and operational quality conce...

 • Quality Assurance and Quality Control Professionals
 • Manufacturing and Production Engineers
 • Supplier Quality and Process Improvement Teams
 • Automotive and Industrial Engineering Professionals
 • Operations and Product Development Teams

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Advanced Product Quality Planning (APQP) Training, validating their expertise in quality planning methodologies, process development workflows, risk assessment practices, supplier quality coordination, and manufacturing operational excellence concepts.

Prerequisites:  • Basic understanding of manufacturing or quality management concepts is helpful • Familiarity with production or engineering workflows is an advantage • No prior APQP experience required • Interest in quality assurance and process improvement recommended

Introduction to AI in Automotive Ecosystems • Overview of AI applications in automotive industries • Evolution of intelligent and connected vehicles • AI-driven mobility and transportation concepts • Automotive innovation and smart vehicle awarenessAI Fundamen...

 • Automotive Engineers and Developers
 • AI and Data Science Professionals
 • Embedded Systems and ECU Teams
 • ADAS and Connected Vehicle Professionals
 • Technical Professionals exploring AI-driven mobility solutions

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in AI in Automotive Training, validating their expertise in AI-driven automotive technologies, intelligent mobility concepts, connected vehicle workflows, and automotive AI innovation practices.

Prerequisites:  • Basic understanding of automotive systems or software concepts is helpful • Familiarity with AI or data concepts is an advantage • Basic awareness of embedded or connected systems recommended • No prior automotive AI experience required

Introduction to Automotive Cybersecurity • Overview of automotive cybersecurity ecosystems • Modern vehicle architecture and connected systems awareness • Automotive threat landscape and attack vectors • Cybersecurity challenges in connected vehiclesVehicle Co...

 • Automotive Software and Embedded Engineers
 • Cybersecurity and Network Security Professionals
 • Connected Vehicle and Infotainment Teams
 • ECU and Automotive System Developers
 • Technical Professionals involved in vehicle platform security

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Automotive Cyber Security Training, validating their expertise in automotive threat analysis, secure vehicle communication workflows, connected vehicle security concepts, and automotive cybersecurity best practices.

Prerequisites:  • Basic understanding of networking or cybersecurity concepts • Familiarity with automotive or embedded systems is helpful • Basic awareness of software or communication protocols recommended • No prior automotive cybersecurity experience required

Introduction to Automotive Grade Linux (AGL) • Overview of Automotive Grade Linux ecosystem • Open-source automotive platform concepts • AGL architecture and component awareness • Automotive software stack fundamentalsEmbedded Linux and Automotive Platform Wor...

 • Automotive Software Engineers
 • Embedded Linux Developers
 • Infotainment and Connected Vehicle Teams
 • Automotive System Integrators
 • Technical Professionals entering automotive platform development

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Automotive Grade Linux (AGL) Training, validating their expertise in Linux-based automotive platforms, infotainment workflows, automotive middleware integration, and connected vehicle software concepts.

Prerequisites:  • Basic understanding of Linux operating systems • Familiarity with embedded systems or automotive concepts is helpful • Basic awareness of software development workflows recommended • No prior AGL experience required

Introduction to Automotive Infotainment and HMI Concepts • Overview of automotive infotainment ecosystems • HMI architecture and workflow fundamentals • Role of UI/UX in vehicle systems • Automotive display and interaction conceptsAutomotive UI/UX Design Princ...

 • Automotive Software Developers
 • HMI and UI/UX Designers
 • Embedded Systems Engineers
 • Infotainment and Connected Vehicle Teams
 • Technical Professionals involved in automotive interface development

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Automotive Infotainment HMI Development Training, validating their expertise in automotive HMI concepts, infotainment interface development, UI/UX workflows, multimedia integration, and connected vehicle interaction practices.

Prerequisites:  • Basic understanding of software development or UI concepts • Familiarity with automotive systems is helpful • Basic awareness of embedded systems or graphical interfaces recommended • No prior automotive HMI development experience required

Introduction to Automotive Software and AUTOSAR • Evolution of automotive electronics • Challenges in traditional ECU software development • Introduction to AUTOSAR and standardization goals • AUTOSAR ecosystem and industry adoptionAUTOSAR Architecture Overvie...

 • Embedded software engineers
 • Automotive software developers
 • ECU developers and integrators
 • Automotive system architects
 • Engineers transitioning to automotive software platforms

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive the AcadNXT Certification for AUTOSAR Introduction. This certification validates the learner’s foundational knowledge of AUTOSAR architecture, software components, development methodology, and automotive software standardization principles.

Prerequisites:  • Basic understanding of embedded systems concepts • Familiarity with C programming fundamentals • Awareness of automotive electronics is beneficial • No prior AUTOSAR experience is required

Introduction to CATIA V5 and CAD Workflows • Overview of CATIA V5 environment and interface • CAD design and product development concepts • Navigation and workspace management workflows • Engineering design process awarenessSketcher and Part Design Concepts •...

 • Mechanical Design Engineers
 • CAD and Product Design Professionals
 • Automotive and Aerospace Engineering Teams
 • Manufacturing and Industrial Design Engineers
 • Technical Professionals entering 3D design environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in CATIA V5 Training, validating their expertise in 3D mechanical modeling, assembly design workflows, drafting concepts, parametric design practices, and engineering product development using CATIA V5.

Prerequisites:  • Basic understanding of engineering drawing or design concepts is helpful • Familiarity with CAD environments is an advantage • No prior CATIA V5 experience required • Interest in mechanical design and product development recommended

Introduction to Embedded C and Embedded Systems • Overview of embedded systems and application workflows • Embedded C programming fundamentals • Data types, variables, and control structures awareness • Embedded software architecture conceptsFunctions, Memory,...

 • Embedded Software Developers
 • Electronics and Embedded Engineers
 • Firmware and Microcontroller Developers
 • IoT and Device Application Teams
 • Technical Professionals entering embedded software development

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Embedded C Application Training, validating their expertise in Embedded C programming, hardware interfacing, embedded application development workflows, debugging practices, and embedded software optimization concepts.

Prerequisites:  • Basic understanding of C programming concepts • Familiarity with embedded systems or electronics is helpful • Basic awareness of programming logic recommended • No prior embedded application development experience required

Introduction to Autonomous Vehicles and Intelligent Mobility • Evolution of autonomous driving • Difference between driver assistance and autonomy • Benefits and challenges of autonomous vehicles • Overview of AV ecosystem and stakeholdersLevels of Automation...

 • Automotive engineers and professionals
 • Robotics and automation engineers
 • Students and fresh graduates exploring AV technologies
 • IT professionals transitioning to intelligent mobility
 • Researchers and professionals interested in autonomous systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive the AcadNXT Certification for Introduction to Autonomous Vehicles (AVs). This certification validates the learner’s foundational knowledge of autonomous vehicle technologies, system architecture, safety considerations, and intelligent mobility concepts.

Prerequisites:  • Basic understanding of automobiles or transportation systems • Familiarity with basic programming or engineering concepts is helpful • Awareness of sensors or AI concepts is beneficial • No prior experience in autonomous vehicles is required

Introduction to Electric Vehicles and E-Mobility • Evolution of electric vehicles • Why electric mobility is important • Comparison of EVs and ICE vehicles • Overview of global EV adoptionTypes of Electric Vehicles • Battery electric vehicles • Hybrid and plug...

 • Automotive professionals and engineers
 • Students and fresh graduates exploring EV technologies
 • Fleet managers and operations professionals
 • Policy, sustainability, and energy professionals
 • Anyone interested in electric mobility and future transportation

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive the AcadNXT Certification for Introduction to Electric Vehicles (EVs). This certification validates the learner’s foundational knowledge of electric vehicle concepts, components, charging infrastructure, and electric mobility ecosystem.

Prerequisites:  • Basic understanding of automobiles or transportation systems • Familiarity with basic electrical or engineering concepts is helpful • No prior experience in electric vehicles is required

Introduction to Functional Safety and ISO 26262 • Overview of automotive functional safety concepts • ISO 26262 structure and lifecycle awareness • Safety culture and organizational responsibilities • Functional safety in modern vehicle ecosystemsHazard Analys...

 • Automotive Software and Embedded Engineers
 • Functional Safety and Quality Professionals
 • ECU and Automotive Electronics Developers
 • ADAS and Autonomous Vehicle Teams
 • Technical Professionals involved in automotive system development

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in ISO 26262 Automotive Functional Safety Training, validating their expertise in automotive functional safety concepts, HARA methodologies, ASIL classification, safety lifecycle workflows, and compliance-oriented automotive system development practices.

Prerequisites:  • Basic understanding of automotive systems or embedded systems concepts • Familiarity with software or electronics development workflows is helpful • Basic awareness of safety or quality processes recommended • No prior ISO 26262 experience required

Introduction to Machine to Machine (M2M) Communication • Overview of M2M ecosystems and applications • Connected device communication concepts • M2M architecture and operational workflows • Industrial and smart infrastructure use casesCommunication Technologie...

 • IoT and Embedded Systems Professionals
 • Telecom and Network Engineers
 • Industrial Automation Teams
 • Smart Device and Connectivity Developers
 • Technical Professionals exploring connected system technologies

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Machine to Machine (M2M) Training, validating their expertise in M2M communication concepts, connected device workflows, IoT integration awareness, industrial automation practices, and smart system connectivity principles.

Prerequisites:  • Basic understanding of networking or communication concepts is helpful • Familiarity with IoT or embedded systems is an advantage • Basic awareness of industrial or connected systems recommended • No prior M2M experience required