Why enroll for Artificial Intelligence (AI) in Automotive Course?
The global generative AI in automotive market was valued at $312.46 Mn in 2022 and is projected to reach $2,691.92 Mn by 2032, growing at a CAGR of 24.03% from 2023 to 2032.
Automotive manufacturers could achieve time, cost savings, and quality enhancements by implementing generative AI throughout the R&D process.
The average salary for an Automotive Engineer is $111,331 per year in the United States with additional cash compensation of $21,237.
Artificial Intelligence in Automotive Course Benefits
According to LinkedIn, by 2030, experts predict that AI could replace up to 300 million full-time jobs in the automotive industry. The Artificial Intelligence (AI) in Automotive Course offers numerous benefits to learners seeking to advance their knowledge and skills in this rapidly evolving field. By enrolling in this course, individuals gain a deep understanding of AI applications in automotive technology, including autonomous driving, vehicle safety, manufacturing, and customer experience.
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Want to become a Autonomous Systems Engineer?
Annual Salary
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Want to become a Autonomous Systems Engineer?
Annual Salary
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Want to become a Autonomous Systems Engineer?
Why Artificial Intelligence (AI) in Automotive Course from edureka
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
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About your Artificial Intelligence (AI) in Automotive Course
Skills Covered in AI in Automotive Training
Leveraging AI in Automotive
Prompt Engineering
Working with ChatGPT
Incorporating Regulations
Anomaly Detection
Optimizing Delivery Process
Tools Covered in AI in Automotive Training Course
Artificial Intelligence in Automotive Course Curriculum
Curriculum Designed by Experts
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Introduction to AI in Automotive Industry
10 Topics
Topics:
What is AI?
Evolution of AI
Introduction of AI Automotive industry
Applications of AI in Automotive sector
Impact of AI technologies on automotive industry
Overview of machine learning techniques
Overview of computer vision techniques
Overview of NLP techniques
Historical development of AI technologies within the automotive industry
Key milestones and breakthrough in AI for autonomous system design
Hands-on:
Describe the working of AI techniques in automotive sector
Identifying breakthroughs in AI for autonomous system
Skills You Will Learn:
AI techniques in automotive industry
Analyzing breakthroughs in AI
AI in Autonomous Driving and Design
16 Topics
Topics:
Introduction to Society of Automotive Engineers (SAE) J3016
Purpose of SAE
Technologies involved in autonomous driving systems
Sensors - LiDAR, radar, cameras etc.
Fitting actuators while designing
Control Systems and Onboard computing
NVIDIA AI tools
AI techniques for vehicular perception
AI techniques for decision making and control tasks
AI for capturing and processing real time data
5 levels of vehicle automation
What is autonomous navigation
Blender tool for designing automotive components
Challenges and opportunities in autonomous vehicles
Disruption in existing transport services
Urban planning for mobility
Hands-on:
AI tools for sensors in vehicles
AI tools while designing vehicles
Skills You Will Learn:
Ability of AI for capturing and processing real-time data
Know the 5 levels of vehicle automation
AI in Automotive Manufacturing and Supply Chain
15 Topics
Topics:
Smart Manufacturing
Integrating AI, IoT and data analytics
AI in supply chain management
Robotics and automation in assembly lines
Automated Guided Vehicles (AGVs)
Collaborative Robots
Reduction of production costs due to AI
AI for Quality Control
Inspection by computer vision techniques
AI for monitoring and maintenance
AI for detecting anomalies and fail safes
Case Study: General Motors - Dreamcatchers
Case Study: Continental - AI driven virtual simulation tool
Case Study: Volkswagen - speech technology team
Case Study: Škoda - autonomous drones
Hands-on:
Ways to integrate AI, IoT in automotive
AI in assembly lines
Skills You Will Learn:
Supply Chain management
Handling production costs
AI in Safety, Regulations and Customer Experience
16 Topics
Topics:
AI autonomy and human control while driving
Rules and Regulations by Society of Automotive Engineers (SAE)
Industry Guidelines by National Highway Traffic Safety Administration (NHTSA)
European Union Agency for Cybersecurity (ENISA)
Advanced Driver Assistance Systems (ADAS)
Cybersecurity measures for protecting AI-driven automotive systems
Secure communication protocols
Intrusion detection systems
Software updates
Legal responsibilities arising from AI-driven safety systems in vehicles
Privacy concerns related to data collection and sharing
Customer Experience after purchasing autonomous vehicles
Customer Support
Importance of customer retention
Delivery process
Zoho CRM for customer engagement
Hands-on:
CRM for customer management
Safety Regulations by different institutions
Skills You Will Learn:
Knowledge of industry guidelines
Legal Responsibilties in autonomous system
Free Career Counselling
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About the AI in Automotive Course
What is Artificial Intelligence in Automotive Course?
The AI in Automotive course explores the integration of artificial intelligence (AI) technologies within the automotive industry. Learn how AI enhances safety, efficiency, and user experience in vehicles through features like autonomous driving, predictive maintenance, and intelligent navigation systems. The course typically includes case studies and industry insights to provide a comprehensive understanding of AI's role in shaping the future of automotive technology.
Why take up this Artificial Intelligence in Automotive Training Course?
Artificial Intelligence (AI) in Automotive Course is suitable for learners as it equips them with essential skills in leveraging AI for productivity enhancement, workflow, and development, thereby preparing the learners to excel in various fields to stay ahead in the rapidly evolving tech landscape.
Who should take up this Artificial Intelligence (AI) course in the automotive field?
The AI in Automotive course is suitable for a range of professionals, including:
Engineers
Auto AI System Developers
Automotive Designers
Researchers
It's ideal for individuals interested in advancing their knowledge and skills in artificial intelligence, specifically within the automotive industry. Additionally, professionals working in related fields such as transportation, robotics, and machine learning may also find the course beneficial for expanding their expertise into the automotive sector. Overall, anyone passionate about leveraging AI to innovate and improve automotive technologies can benefit from this course.
What are the prerequisites for this Artificial Intelligence in Automotive Course?
There are no prerequisites required for this Artificial Intelligence in Automotive Training Course. However, it is beneficial to have:
Basic knowledge of AI
Knowledge of how the automotive industry works
What are the system requirements for this AI in Automotive Training Course?
The system requirements for an Artificial Intelligence in Automotive course include:
A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor is required.
Stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
How will I execute the practicals in this Artificial Intelligence (AI) in Automotive Course?
Detailed step-by-step practical guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
Artificial Intelligence (AI) in Automotive Course Projects
Leveraging ChatGPT to improve safety protocols for automotive assembly lines.
The objective of this project is to leverage ChatGPT, an advanced AI model, to enhance safety protocols and procedures for assembly line operations in the automotive industry. By....
Leveraging Gemini to explore and categorize automotive vehicle parts.
This project aims to use Gemini to explore and categorize automotive vehicle parts and to assist learners by providing the necessary knowledge on automotive parts and components.
Artificial Intelligence (AI) in Automotive Certification
To unlock Edureka’s Artificial Intelligence (AI) in Automotive course completion certificate, you must ensure the following:
Completely participate in this Artificial Intelligence in Automotive Training Course.
Evaluation and completion of the quizzes and projects listed.
The value of the AI in Automotive course lies in its ability to equip participants with specialized knowledge and skills that are increasingly in demand within the automotive industry. By gaining expertise in artificial intelligence tailored for automotive applications, learners:
Learn to integrate AI technologies in vehicles. Professionals equipped with this knowledge are better positioned to stay ahead of industry trends and innovations.
Can explore a wide range of career opportunities in areas such as autonomous driving, predictive maintenance, intelligent navigation systems, and more.
Learn about AI-powered features like autonomous driving and predictive maintenance, which can significantly enhance vehicle safety and efficiency, making roads safer and operations more reliable.
Here are some potential job roles that you can apply with the skills gained through this course:
Autonomous Vehicle Engineer
AI Researcher
Supply Chain Optimization Specialist
AI Consultant for the Automotive Industry
Regulatory Compliance Specialist
John Doe
Title
with Grade X
XYZ123431st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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Artificial Intelligence (AI) in Automotive Course FAQs
What is AI?
AI (Artificial Intelligence), refers to the simulation of human intelligence in machines that are programmed to mimic human-like behaviors such as learning, reasoning, problem-solving, perception, and decision-making. AI encompasses a broad range of technologies and techniques that enable computers and machines to perform tasks that typically require human intelligence.
Will I get placement assistance after completing this Artificial Intelligence (AI) in Automotive Course?
To help you in this endeavor, we have added a resume builder tool to your LMS. Now, you will be able to create a winning resume in just three easy steps. You will have unlimited access to these templates across different roles and designations. All you need to do is log in to your LMS and click on the "create your resume" option.
Who are the instructors for AI in Automotive Training Course?
All the instructors at edureka are practitioners from the industry with a minimum of 10-12 years of relevant experience. They are subject matter experts and are trained by edureka to provide an awesome learning experience to the participants.
What if I have more queries after completing artificial intelligence (AI) in Automotive Training?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class on Artificial Intelligence (AI) in Automotive Training?
You will never miss a lecture at Edureka! You can choose either of the two options:
View the recorded class session available in your LMS.
You can attend the missed session or any other live batch.
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