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Artificial Intelligence (AI) in Automotive Course
Artificial Intelligence (AI) in Automotive Course
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1981 Learners4.2 800 Ratings
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Live Online Classes starting on 25th May 2024
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Instructor-led AI in Automotive live online Training Schedule
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Price 16,99915,299
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Why enroll for Artificial Intelligence (AI) in Automotive Course?
Artificial Intelligence (AI) 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.
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?
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
Artificial Intelligence (AI) in Automotive Course Skills Covered
Tools Covered in Artificial Intelligence (AI) in Automotive Course
Artificial Intelligence (AI) in Automotive Course Curriculum
Curriculum Designed by Experts
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
![skill]( "Hands On Experience")
- Describe the working of AI techniques in automotive sector
- Identifying breakthroughs in AI for autonomous system
![skill]( "skill 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
![skill]( "Hands On Experience")
- AI tools for sensors in vehicles
- AI tools while designing vehicles
![skill]( "skill 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
![skill]( "Hands On Experience")
- Ways to integrate AI, IoT in automotive
- AI in assembly lines
![skill]( "skill 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
![skill]( "Hands On Experience")
- CRM for customer management
- Safety Regulations by different institutions
![skill]( "skill you will learn")
- Knowledge of industry guidelines
- Legal Responsibilties in autonomous system
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About the Artificial Intelligence (AI) in Automotive Course
About Artificial Intelligence (AI) 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 (AI) in Automotive 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) in Automotive Course?
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 (AI) in Automotive Course?
There are no prerequisites required for this Artificial Intelligence (AI) in Automotive 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 Artificial Intelligence (AI) in Automotive Course?
The system requirements for a Artificial Intelligence (AI) 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 Course Certification
To unlock the Edureka’s Artificial Intelligence (AI) in Automotive course completion certificate, you must ensure the following:
- Completely participate in this Artificial Intelligence (AI) in Automotive 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 of 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.
- Know about AI-powered features like autonomous driving and predictive maintenance that can significantly enhance safety and efficiency in vehicles, making roads safer and operations more reliable.
Here are some potential job roles that you apply with the skills gained through this course:
- Autonomous Vehicle Engineer
- AI Researcher
- Supply Chain Optimization Specialist
- AI Consultant for Automotive Industry
- Regulatory Compliance Specialist
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Title
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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 in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use 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 Artificial Intelligence (AI) in Automotive?
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
What if I have more queries after completion of Artificial Intelligence (AI) in Automotive?
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 of Artificial Intelligence (AI) in Automotive Course?
You will never miss a lecture at Edureka! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
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