Automotive Training in Austin

This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level business professionals who wish to understand the dynamics of the electric vehicle market, develop strategic insights, and assess the economic potential of electric mobility solutions for government.

By the end of this training, participants will be able to:

• Analyze global and regional trends in the electric vehicle market.
• Evaluate various business models for EV production and distribution.
• Identify investment opportunities and challenges within the EV sector.
• Understand the role of government policies in shaping the EV industry.

This instructor-led, live training in Austin (online or onsite) is designed for advanced-level professionals who seek to develop a comprehensive understanding of autonomous electric vehicle (EV) systems, connectivity features, and the cybersecurity challenges associated with connected and autonomous vehicles.

By the end of this training, participants will be able to:

• Implement autonomous driving algorithms and control systems for government applications.
• Integrate V2X communication for connected vehicle networks in public sector environments.
• Address cybersecurity risks in autonomous EVs, ensuring alignment with government security protocols.
• Develop real-time processing solutions for autonomous navigation that meet the needs of public sector workflows.

This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level professionals who wish to explore the ethical dilemmas and legal frameworks surrounding autonomous vehicles for government use.

By the end of this training, participants will be able to:

• Understand the ethical implications of AI-driven decision-making in autonomous vehicles for government applications.
• Analyze global legal frameworks and policies regulating self-driving cars for government operations.
• Examine liability and accountability issues in the event of autonomous vehicle accidents within public sector contexts.
• Evaluate the balance between innovation and public safety in autonomous driving laws for government use.
• Discuss real-world case studies involving ethical dilemmas and legal disputes relevant to government agencies.

This instructor-led, live training in Austin (online or onsite) is designed for intermediate-level professionals who seek to enhance their practical skills in assessing the lifecycle of electric vehicle (EV) batteries, implementing recycling technologies, and addressing sustainability challenges within the automotive industry.

By the end of this training, participants will be able to:

• Evaluate the lifecycle of EV batteries and their environmental impact.
• Identify recycling methods for different battery chemistries.
• Implement sustainable practices for battery reuse and disposal.
• Develop policies to support circular economy initiatives for government.

This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level professionals and enthusiasts who wish to understand the fundamental concepts, technologies, and applications of autonomous vehicles for government use.

By the end of this training, participants will be able to:

• Comprehend the key components and operational principles of autonomous vehicles.
• Examine the role of artificial intelligence, sensors, and real-time data processing in self-driving systems.
• Analyze various levels of vehicle autonomy and their practical applications in government operations.
• Evaluate the ethical, legal, and regulatory considerations of autonomous mobility for government use.
• Obtain hands-on experience with autonomous vehicle simulations.

This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level automotive professionals who wish to develop practical skills in retrofitting gasoline vehicles into electric vehicles, including understanding legal requirements, safety considerations, and cost implications for government.

By the end of this training, participants will be able to:

• Plan and execute an EV retrofit project.
• Replace internal combustion engines with electric powertrains.
• Integrate battery systems and charging components.
• Evaluate legal requirements and cost-effectiveness of retrofits.

This instructor-led, live training in Austin (online or onsite) is designed for intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles for government applications.

By the end of this training, participants will be able to:

• Understand the foundational concepts of V2X communication for government use.
• Analyze various V2V, V2I, V2P, and V2N communication models relevant to public sector workflows.
• Implement V2X protocols such as DSRC and C-V2X in alignment with government standards.
• Develop simulations for connected vehicle environments that meet public sector requirements.
• Address cybersecurity and privacy challenges specific to V2X networks in the context of government operations.

This instructor-led, live training in Austin (online or onsite) is designed for advanced-level automotive software professionals who aim to enhance their expertise in developing embedded systems and intelligent software solutions for electric vehicles, including AI integration for autonomous functionalities.

By the end of this training, participants will be able to:

• Design embedded software for EV control systems for government applications.
• Implement real-time data processing to optimize vehicle operation efficiency.
• Integrate AI-driven decision-making capabilities for autonomous electric vehicles.
• Apply best practices in software safety and automotive compliance to ensure robust and reliable systems.

This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level engineers, automotive professionals, and IoT specialists who wish to understand the role of sensors in self-driving cars. The course covers LiDAR, radar, cameras, and sensor fusion techniques for government applications.

By the end of this training, participants will be able to:

• Understand the different types of sensors used in autonomous vehicles for government operations.
• Analyze sensor data for real-time vehicle perception and decision-making in public sector environments.
• Implement sensor fusion techniques to improve vehicle accuracy and safety for government use.
• Optimize sensor placement and calibration for enhanced autonomous driving performance in governmental workflows.

This instructor-led, live training in Austin (online or onsite) is aimed at advanced-level automotive professionals who wish to develop expertise in designing, developing, and optimizing electric vehicles, with a focus on next-generation technologies and sustainable mobility solutions for government.

By the end of this training, participants will be able to:

• Design efficient and aerodynamic EV architectures that align with public sector needs.
• Integrate energy-optimized powertrains and battery systems for enhanced operational efficiency.
• Apply innovative design concepts to improve performance in government applications.
• Develop prototypes using advanced simulation tools to support governmental projects.

This instructor-led, live training in Austin (online or onsite) is aimed at advanced-level safety engineers and automotive safety professionals who wish to develop comprehensive safety strategies for autonomous vehicles, including hazard analysis, functional safety assessments, and compliance with international standards for government.

By the end of this training, participants will be able to:

• Identify and assess safety risks associated with autonomous driving systems.
• Conduct hazard analysis and risk assessment using industry standards.
• Implement safety validation and verification methods for AV systems.
• Apply functional safety standards, such as ISO 26262 and SOTIF.
• Develop risk mitigation strategies for AV safety challenges.

This instructor-led, live training in Austin (online or onsite) is designed for intermediate-level automotive professionals who aim to develop practical skills in diagnosing, maintaining, and troubleshooting electric vehicle systems, including motors, batteries, and onboard software.

By the end of this training, participants will be able to:

• Conduct routine maintenance on electric vehicle components.
• Identify and resolve common issues with EV powertrains and battery systems.
• Utilize diagnostic tools and software for fault detection.
• Adhere to safe practices when handling high-voltage systems, ensuring compliance with standards for government.

This instructor-led, live training in Austin (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimize real-time navigation capabilities in autonomous systems for government applications.

By the end of this training, participants will be able to:

• Understand the fundamental principles and challenges associated with multi-sensor data fusion for government use.
• Implement sensor fusion algorithms that enhance real-time autonomous navigation for government projects.
• Integrate data from LiDAR, cameras, and RADAR systems to improve perception accuracy in governmental applications.
• Analyze and evaluate the performance of fusion systems under a variety of operational conditions relevant to government operations.
• Develop practical solutions for reducing sensor noise and ensuring accurate data alignment in government contexts.

This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications for government.

By the end of this training, participants will be able to:

• Understand the fundamental concepts of computer vision in autonomous vehicles for government use.
• Implement algorithms for object detection, lane detection, and semantic segmentation in governmental contexts.
• Integrate vision systems with other autonomous vehicle subsystems to support public sector operations.
• Apply deep learning techniques for advanced perception tasks in government applications.
• Evaluate the performance of computer vision models in real-world scenarios for government use.

This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level automotive engineers and technicians who wish to gain hands-on experience in testing, simulating, and diagnosing Electronic Control Units (ECUs) using Vector tools such as CANoe and CANape.

By the end of this training, participants will be able to:

• Understand the role and function of ECUs in automotive systems for government use.
• Set up and configure Vector tools like CANoe and CANape to meet specific requirements.
• Simulate and test ECU communication on Controller Area Network (CAN) and Local Interconnect Network (LIN) networks.
• Analyze data and perform diagnostics on ECUs to ensure reliable performance.
• Create comprehensive test cases and automate testing workflows for efficient quality assurance.
• Calibrate and optimize ECUs using practical and effective methods.

This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level professionals who wish to develop skills in designing, managing, and integrating electric vehicle (EV) charging infrastructure with smart grids to support sustainable mobility and energy management for government.

By the end of this training, participants will be able to:

• Design efficient and scalable EV charging stations.
• Analyze the grid impact of widespread EV adoption.
• Integrate renewable energy sources into EV charging systems.
• Implement smart charging strategies to balance grid load.

This instructor-led, live training in Austin (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to implement sophisticated path planning algorithms to enhance autonomous vehicle performance for government applications.

By the end of this training, participants will be able to:

• Understand the theoretical foundations of advanced path planning algorithms for government use.
• Implement algorithms such as RRT*, A*, and D* for real-time navigation in public sector environments.
• Optimize path planning for obstacle avoidance and dynamic environments, ensuring alignment with government standards.
• Integrate path planning algorithms with sensor data to enhance accuracy and reliability in government operations.
• Evaluate the performance of various algorithms in practical scenarios relevant to government missions.

This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level automotive engineers and embedded systems developers who wish to understand the theoretical aspects of Electronic Control Units (ECUs), with a focus on Vector-based tools and methodologies used in automotive design and development for government applications.

By the end of this training, participants will be able to:

• Understand the architecture and functions of ECUs in modern vehicles for government use.
• Analyze communication protocols utilized in ECU development for government projects.
• Explore Vector-based tools and their theoretical applications in governmental contexts.
• Apply model-based development principles to ECU design for government systems.

This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level professionals who wish to gain a comprehensive understanding of electric vehicle (EV) powertrain architectures, battery chemistry, battery management systems (BMS), and the factors affecting energy efficiency in EVs for government.

By the end of this training, participants will be able to:

• Understand the structure and function of EV powertrains.
• Analyze different battery chemistries and their applications in EVs.
• Implement battery management techniques to enhance performance and safety.
• Evaluate energy efficiency in various EV configurations.

This instructor-led, live training in Austin (online or onsite) is designed for advanced-level data scientists, AI specialists, and automotive AI developers who aim to construct, train, and optimize AI models for autonomous driving applications.

By the end of this training, participants will be able to:

• Comprehend the foundational principles of AI and deep learning as they apply to autonomous vehicles.
• Apply computer vision methods for real-time object detection and lane following in self-driving systems.
• Employ reinforcement learning techniques for decision-making processes in autonomous driving.
• Incorporate sensor fusion strategies to enhance perception and navigation capabilities.
• Develop deep learning models to predict and analyze various driving scenarios, ensuring enhanced safety and efficiency for government applications.

This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level professionals who wish to gain foundational knowledge of electric vehicles, including their types, core components, and basic charging infrastructure. The training will prepare participants to explore advanced concepts and practical applications relevant to the automotive industry for government.

By the end of this training, participants will be able to:

• Understand the fundamental principles and components of electric vehicles.
• Identify various types of EVs and their key features.
• Recognize the advantages and challenges associated with the adoption of EVs.
• Explain the basics of EV charging infrastructure.
• Analyze the impact of EVs on the automotive industry and environmental sustainability.

This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level quality engineers who wish to learn how to use Quality Core Tools to ensure product quality in the manufacturing industry for government applications.

By the end of this training, participants will be able to:

• Understand the importance and integration of Quality Core Tools within public sector workflows.
• Master the concepts and application of Advanced Product Quality Planning (APQP) processes to facilitate effective product quality planning for government projects.
• Identify potential failures in products and processes, understand their impact on product quality, and implement actions to mitigate risks in alignment with government standards.
• Use statistical methods to monitor and control manufacturing processes, ensuring product quality and process efficiency for government operations.

This instructor-led, live training in Austin (online or onsite) is designed for government quality control professionals at the beginner level who wish to learn the fundamentals of Statistical Process Control (SPC) and apply it in real-world scenarios.

By the end of this training, participants will be able to:

• Understand the foundational principles of Statistical Process Control (SPC).
• Utilize basic SPC tools such as control charts, histograms, Pareto charts, and scatter diagrams to monitor process performance.
• Develop and interpret various types of control charts for variable and attribute data to identify and analyze process variations.
• Compute and interpret process capability indices to assess process performance and compliance.

This instructor-led, live training in Austin (online or onsite) is aimed at developers who wish to install, configure, and deploy the AGL platform to develop automotive projects and applications for government use.

By the end of this training, participants will be able to create, develop, and customize automotive services and applications using the AGL open platform and development framework, aligned with public sector workflows and governance.

This course provides an overview of artificial intelligence, with a focus on machine learning and deep learning, as applied to the automotive industry. It is designed to help participants identify which technologies can potentially be utilized in various scenarios within a vehicle, ranging from basic automation to image recognition and autonomous decision-making for government applications.

The Advanced Product Quality Planning (APQP) course is designed to equip participants with a thorough understanding of the APQP process and its application in product development and launch. This course will cover essential concepts, tools, and techniques used in APQP, enabling participants to effectively plan and manage quality throughout the product development lifecycle. Through practical examples, case studies, and interactive exercises, participants will gain the skills and knowledge necessary to successfully implement APQP in their organizations, ensuring the delivery of high-quality products to customers. The course is tailored to enhance quality management practices for government agencies and align with public sector workflows, governance, and accountability.

The "Automotive SPICE (A-SPICE) - Introduction" workshop focuses on an overview of the Automotive SPICE process evaluation model, discussing structure, classification and interpretation guidelines. Participants gain the competence to understand the evaluation process from the perspective of project managers and stakeholders. The course covers the importance of ASPICE in the market, compliance, different process groups and ASPICE levels through real-world implementation examples.

This instructor-led, live training in Austin (online or onsite) is designed for engineers who aim to protect connected vehicles from cyber threats.

By the end of this training, participants will be able to:

• Implement cybersecurity measures in automotive systems.
• Select the most appropriate technologies, tools, and methodologies for government use.

This instructor-led, live training in Austin (online or onsite) is aimed at engineers who wish to use AUTOSAR to design automotive components for government projects.

By the end of this training, participants will be able to:

• Install and configure AUTOSAR for government applications.
• Set up a workflow aligned with public sector requirements.
• Navigate the AUTOSAR environment efficiently.
• Work effectively within the constraints of government projects.

This instructor-led, live training in Austin (online or onsite) is designed for government participants who will learn to configure DEM as they step through the creation and customization of a sample AUTOSTAR (AUTomotive Open System ARchitecture) application. The training emphasizes alignment with public sector workflows and governance practices, ensuring that participants are well-equipped to apply these skills effectively in their roles for government.

This course offers a thorough examination of the essential quality tools utilized in product and process development for government. It covers Advanced Product Quality Planning (APQP), Failure Mode and Effects Analysis (FMEA), Control Plan (CP), Statistical Process Control (SPC), Measurement Systems Analysis (MSA), and Production Part Approval Process (PPAP). Each session will delve into a specific tool, offering a detailed understanding of its principles and practical applications for government.

The Control Plan Implementation course is designed to provide participants with a thorough understanding of control plans and their significance in ensuring quality and process control for government. Participants will learn how to effectively develop and implement control plans to mitigate risks, monitor critical process parameters, and achieve consistent product quality. Through practical examples, case studies, and interactive exercises, participants will gain the knowledge and skills necessary to create robust control plans tailored to their specific industry and organizational needs.

This course is designed to equip participants with a thorough understanding of customer-specific requirements (CSR) and their influence on government operations. Participants will gain insight into the critical role CSR plays in ensuring customer satisfaction, methods for identifying and managing CSR, and strategies for meeting customer expectations. The course will also explore the impact of CSR on quality management systems and the necessary steps for effective implementation of CSR practices for government.

This course offers a thorough understanding of Design Failure Mode and Effects Analysis (DFMEA) and its application in the design and development of products for government use. Participants will learn to systematically identify and mitigate potential failures during the design phase, enhancing product reliability and customer satisfaction. The curriculum covers the DFMEA process, risk assessment techniques, and effective strategies for implementing preventive and corrective actions, ensuring alignment with public sector workflows and governance.

A two-day course designed to cover all essential design principles, complemented by practical code examples and the latest advancements in industrial technology. This course is highly beneficial for government automotive software developers, enhancing their skills and alignment with public sector workflows and governance.

This comprehensive course is designed to equip participants with the knowledge and skills necessary to effectively conduct field failure analysis across various industries. Field failure analysis is essential for identifying and resolving product issues, ensuring customer satisfaction, and fostering continuous improvement. Through this course, participants will gain an understanding of the principles, techniques, and best practices of field failure analysis, enabling them to investigate, diagnose, and mitigate product failures in real-world situations. The course is tailored to enhance capabilities and align with the rigorous standards required for government operations.

This course offers an in-depth understanding of the FMEA methodology and its application in manufacturing and service industries for government. FMEA is a structured approach designed to identify, analyze, and mitigate potential system, product, or process failures. Participants will learn how to identify and evaluate potential failure modes, their effects, and causes, and develop effective control plans to prevent or minimize the impact of these potential failures.

This specialized Human-Machine Interface (HMI) Development course is tailored for government professionals involved in the advancement and integration of sophisticated automotive infotainment systems for government use.

This comprehensive course is designed to equip participants with detailed knowledge and expertise in implementing and maintaining a Quality Management System (QMS) that complies with the IATF 16949 standard. Participants will gain a thorough understanding of the requirements, processes, and best practices associated with automotive quality management. Through practical examples and case studies, participants will learn how to effectively apply the principles of IATF 16949 to ensure the highest level of quality in automotive manufacturing and supply chain operations for government and industry.

ISO 26262 establishes the requirements for functional safety within the automotive industry.

This instructor-led, live training (available online or on-site) is designed for automotive professionals who aim to implement the ISO 26262 standard within their organization.

By the conclusion of this training, participants will be able to:

• Comprehend functional safety as it pertains to the development of automotive hardware and software.
• Grasp the legal responsibilities and compliance requirements outlined in ISO 26262.
• Execute the safety processes mandated by ISO 26262.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab setting.

Course Customization Options

• To request a customized training for government or other specific needs, please contact us to arrange.

This instructor-led, live training in Austin (online or onsite) is aimed at automotive professionals who wish to implement the ISO 26262 standard within their organization for government applications.

By the end of this training, participants will be able to:

• Establish comprehensive and consistent software safety requirements.
• Analyze software architectures for safety, including freedom from interference (FFI) analysis.
• Develop processes that utilize documentation tools to enhance software quality.
• Plan and execute an integration test strategy for software and systems.
• Implement and test software units for safety-critical applications.

This comprehensive course is designed to equip participants with the knowledge and skills required to effectively perform field failure analysis across various industries. Field failure analysis is essential for identifying and resolving product failures, ensuring customer satisfaction, and driving continuous improvement. Through this course, participants will learn the principles, techniques, and best practices of field failure analysis, enabling them to investigate, diagnose, and mitigate product failures in real-world scenarios, specifically tailored for government applications.

The Measurement Systems Analysis (MSA) course is designed to provide participants with a comprehensive understanding of the principles and techniques for evaluating and improving measurement systems used in manufacturing and quality control processes. Participants will learn how to assess the accuracy, precision, and stability of these systems, identify sources of measurement variation, and implement appropriate strategies for system improvement. Through practical examples, case studies, and interactive exercises, participants will gain the knowledge and skills necessary to conduct effective MSA studies, thereby enhancing the reliability and accuracy of their measurement systems for government applications.

This course is designed to equip participants with effective problem-solving skills and methodologies to address complex issues across various sectors, including those specific to government operations. Through a combination of theoretical knowledge and practical exercises, participants will learn how to apply problem-solving frameworks such as the 8D Method, 5 Whys, and Ishikawa (Fishbone) Diagram to identify root causes, develop solutions, and prevent the recurrence of problems. The course emphasizes a systematic and data-driven approach to problem solving, enabling participants to enhance their capabilities and drive continuous improvement for government workflows.

This training course is designed to provide professionals with a comprehensive understanding of root cause analysis and the implementation of corrective actions. Participants will learn to differentiate between the root causes of problems and the root causes of non-detection, utilize various analytical tools, and understand the distinctions between corrective actions and corrections. The course will also cover methodologies for verifying the effectiveness of implemented actions and introduce the 8D problem-solving process.

Benefits:

• Develop the ability to identify and address root causes of problems effectively, enhancing decision-making processes for government operations.
• Gain proficiency in using key analytical tools and techniques to support public sector workflows and governance.
• Learn to implement and verify corrective actions to prevent recurrence of issues, ensuring accountability and reliability within your organization.
• Improve process reliability and quality, contributing to the overall efficiency and effectiveness of government services.
• Foster a culture of continuous improvement and proactive problem-solving, aligning with the goals of public sector excellence.

This course offers a comprehensive overview of reverse Failure Mode and Effects Analysis (FMEA). Participants will gain insights into utilizing this methodology to assess the strengths and weaknesses of products or processes, and to identify potential failure modes. The curriculum will cover the various steps in the reverse FMEA process, including the identification of potential failure modes, evaluation of their impact severity, and the development of action plans to prevent or mitigate these issues, specifically tailored for government applications.

This two-day course covers all principles related to AUTomotive Open System Architecture (AUTOSAR) Run-Time Environment, the leading industrial standard for automotive software development. The curriculum includes both foundational and advanced topics, making it highly beneficial for professionals in the automotive sector. This training is designed to align with the needs of public sector workflows and governance, ensuring that participants are well-equipped with the knowledge necessary for government-related projects.

Simulink is a graphical programming environment designed for modeling, simulating, and analyzing multidomain dynamic systems. This tool supports a wide range of applications and is particularly useful for government agencies seeking to enhance their technical capabilities in system design and analysis.

Objective: This training is designed for government software engineers who are working with Model-Based Design (MBD) technology. The training will cover modeling techniques for automotive systems, automotive standards, auto-code generation, and model test harness building and verification. Audience: Software developers for government automotive suppliers.

This instructor-led, live training in Austin (online or onsite) is aimed at supply managers and personnel who wish to adopt a quality-centric approach to managing suppliers for government.

By the end of this training, participants will be able to:

• Adopt a proactive and collaborative approach to enhancing supplier quality in public sector workflows.
• Clearly define and communicate supply specifications and requirements for government.
• Explore various Supplier Quality Management Systems (QMS) and apply an analytical approach to select the most appropriate one for government needs.
• Utilize a QMS to continuously monitor, inspect, and audit supply chains for government.
• Ensure that suppliers provide the highest quality products and services for government operations.

This instructor-led, live training in Austin (online or onsite) is designed for quality and manufacturing professionals who wish to implement VDA 6.3 standards within their organization.

By the end of this training, participants will be able to:

• Comprehend the requirements and processes of the German automotive audit methodology.
• Learn how to plan, conduct, and report internal audits and evaluations based on VDA 6.3 requirements.
• Fulfill the standards for German automotive industry audits.
• Apply the VDA 6.3 questionnaire and audit scoring system.
• Understand the key processes necessary for effective, efficient, and VDA 6.3 compliant product development, ensuring alignment with best practices for government.