Automotive IIOT Application Engineer
- Industry-Relevant Curriculum
- Hands-On Training
- Internship Opportunities
- Certification Preparation
- Placement Assistance
About Program
The AI – Business Intelligence Analyst program trains individuals to excel in the dynamic field of business intelligence. Students will master data inspection, transformation, and modeling across diverse sources, utilizing statistical analysis, data visualization, and machine learning. Equipped to understand business requirements, they will craft compelling data-driven narratives to support strategic decision-making and collaborate with Data Scientists in complex model development.
Course Curriculum
- Relevance of AI & Big Data Analytics for Society
- Use-Cases of AI & Big Data in Industry
- General and Narrow AI
- Fields of AI
- Career Map in AI & Big Data Analytics
- Key Terms in AI
- Probability Distributions
- Correlation Analysis
- Descriptive Statistics
- Correlation Techniques
- Regression Analysis
- Hypothesis Testing
- Introduction to Statistical Tools
- Using Statistical Software Packages
- Functions and Libraries
- Collecting Business Requirements
- Types of Requirements
- Stakeholder Interaction
- Documentation and Analysis
- Data types and analysis
- Source identification and analysis
- Metadata understanding
- Data importation from various sources
- Data profiling and quality assessment
- Data differentiation (Unprocessed vs. Processed)
- Impact of unprocessed data
- Anomaly identification
- Data normalization
- Data cleansing
- Outlier handling
- Data normalization approaches
Pre-processed data validation
- Variables and data types identification
- Data exploration limitations
- Dimension reduction and correlation
- Prescriptive action categorization
- Correlation evaluation through graphics
- Target audience identification
- Delivery modes and formats
- Business impact evaluation
- Outcome summarization
- Visualization representation
Tools & Softwares
Salary Scale
Job Role
- Mobile Application Developer
- Full Stack Developer
- Software Engineer
- Android Developer
- Web Developer
- Front-End Developer
- UI/UX Designer
- Angular Developer
Certification
Testimonials
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Frequently Asked Questions
IIoT (Industrial Internet of Things) in the automotive industry involves the use of connected devices and sensors to gather data, optimize processes, and improve the efficiency and safety of manufacturing and vehicle operations.
Key skills include knowledge of IoT technologies, data analytics, programming, networking, and understanding of automotive systems and manufacturing processes.
Yes, the course includes practical, hands-on projects to ensure students gain real-world experience.
Upon successful completion, you will receive certifications recognized by industry leaders like NASSCOM, NSDC, and Skill India.
Graduates can pursue roles such as Automation Engineer, Cybersecurity Engineer, IoT Solution Architect and Connectivity Engineer .
Common IIoT devices include sensors, actuators, edge devices, gateways, and connected control systems.
Rooman provides dedicated student success managers to mentor and assist students throughout the course.
Yes, Rooman Technologies offers free demo sessions to give prospective students a preview of the course content and teaching methodology
The instructors are industry experts with extensive experience working with leading technology companies such as CISCO, WIPRO, and Infosys
You can enroll by visiting the Rooman Technologies website, filling out the necessary details, and following the enrollment procedure. For guidance, you can also contact their support team.