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INTERNSHIPS - CAR DESIGNING

LEARN - PRACTICE - INTERN
Live & Hands on Training Experience

Live & Hands on Training Experience

Get hands-on interactive learning with expert trainers!- Instructor-led live online training at your convenience!

Placement & Job Oriented Program

Placement & Job Oriented Program

Up-skill your career and find your way to a better job with our value added real-time learning sessions.

Industry & Real-time Expert Faculty

Industry & Real-time Expert Faculty

Skill Enhancement Courses, Project-based Customized Learning Syllabus-Access Learning Resources,

About Car Designing Course

Machine learning is an application of artificial intelligence (AI) that provides software applications with the ability to automatically learn and improve from experience without being explicitly programmed.

The principal aim of Machine Learning is to enable computers to learn automatically without human aid and act accordingly. This is made possible by letting the application access data that deals with user experience and preference. Then, this data is understood and analysed by the machine to serve the user better.

  • Teaches you more about the statistics–descriptive and inferential. This is highly important to learn how Machine Learning (ML) works
  • You can do Machine Learning using Python, or can learn Machine Learning using R–two of the most commonly used programming languages
  • Feature engineering and data cleansing
  • Insights into the Deep learning technique
  • Trains you through creating projects like predictive models and MNIST Classifier
  • A platform to interact with Industry experts  Faculty
  • Customized Learning Syllabus- One-On-One Coaching

Duration & Training Fee per Student

45 Days

1750

Recorded Access Library
Live Projects Explenation
Mini& Major Project
24/7 Mentor Support

2 Months

2750

Recorded Access Library
1 Real-time Projects
Mini& Major Project
24/7 Mentor Support

3 Months

3750

Full Access Library
3 Real-time Projects
Mini& Major Project
24/7 Mentor Support

6 Months

5250

Full Access Library
6 Real-time Projects
Mini& Major Project
24/7 Mentor Support

 Course Syllabus

  • What is Machine Learning
  • Use cases of Machine Learning
  • Types of Data
  • Role of Machine Learning Engineer
  • Different types of Machine Learning
Environment Setup of anaconda
Introduction to python programming
  • Python Data Structures
  • Python Programming Fundamentals
  • Conditions and Branching
  • Loops
  • Functions
  • Python Packages
  • Overview of OOP Terminology
  • Working with NUMPY
  • Working with Pandas
  • Introduction to Data Visualization
  • Introduction to Matplotlib and Seaborn
  • Basic Plotting with Matplotlib and Seaborn
  • Working with Scikit-Learn
  • Introduction to Data preprocessing
  • Importing the Dataset
  • Handling Missing data
  • Working with categorical Data
  • Splitting the data in to Train and Test set
  • Feature Scaling
  • Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Decision Tree
  • Logistic Regression
  • K-Nearest Neighboring
  • Support Vector Machine
  • Naive-Bayes
  • Decision Tree Classification
  • Random Forest Classification
Model Evaluation for classification and regression problems
 
 
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
 

Our Car Designing Trainers

Srinivasarao.B

Senior AI&ML Programmer in IBM

Ashok Babu MAndana

ML with JAVA Real-time Developer

M.Mahesh

Data Science Mentor

Testimonials

This internship helped me to improve technical and soft skills. The Platform and course content is too good. It was a great experience of learning in Internships Academy.

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Kiran Reddy Kethi reddy SRIT Ananthapur

“With the help of internship from experienced trainers & good lab facilities in IA , I have improved my practical knowledge to a great extent .”

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Kruthika Raman Srm University-Chennai

Working in a core company was my dream, now it became real..Now I am a Design Engineer at Wipro. Thanks to Internships Academy and all my faculties. Thank you All

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Sneha Methew Kerala University-Intern in VLSI

I had enrolled myself in machine learning internship at IA in 2020. At the very beginning of the internship, a session was conducted with proper analysis of how the program will be carried out.

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Krishna Kumar Jasthi WordPress Dev.
  • In the introductory classes, you will learn about the basics of car design, its scope, history, and fundamental structure. You will also get knowledge about the car development cycle and reverse engineering.

    • Introduction of Car Design
    • Scope of Study
    • Car Engineering – History and Classification
    • Structure and Layout of Car
    • Design needs in Automotive application
    • Car Development cycle in the industry
    • Reverse Engineering in Automobile Industry –Introduction
  • Turn your imagination into 3-D reality with CATIA. This module is an introduction to CATIA and the basics of sketch tracing along with its practical application.

    • Concept design to Virtual design conversion
    • Introduction to CATIA
    • Design Parameters of Car Body
    • Sketch tracing and connections
    • Freestyle surfacing
    • Surface-Based operations
    • Exercise: Car body Design
  • This is an advancement to your basic car structure. You will learn to design hood, walls and gain an understanding of sheet metal parameters.

    • Design parameters for Hood
    • Sheet Metal parameters
    • Generating Walls
    • Stamping and Cutting Sheet Metals
    • Exercise: Car Hood Design
 
  • Mobile :  +91 9153234444
  • Email :  ia@internshipsacademy.com
  • Location:  Flat no:203, SBI bank road, Madurvoyal, Chennai, Tamilnadu

The suspension system comprises tires, springs, shock absorbers, and linkages that connect a vehicle to its wheels. Under this topic, you will learn about this critical component and how to assemble it in CATIA.

  • Suspension system design parameters
  • Suspension system types in Car
  • Developing Parts of the suspension system
  • Constraints of the Suspension system
  • Assembling suspension parts
  • Analyzing Assemblies
  • Exercise: Suspension System

Learn about the types of wheels and their design parameters under this section. Wire and Surfaces Classes will also be discussed. ALIAS Automotive is the prime focus of this section.

  • Design parameters of wheels
  • Various wheels and tire variants
  • Basic terminologies on Wires and Surfaces Classes
  • Introduction to ALIAS Automotive
  • Developing NURBS and geometry of wheels
  • Detailing wheels
  • Exercise: Wheels

Construction Tolerance and Surface Evaluation are of utmost importance while designing a car. Without this, your model may fail. You will learn about them under this section.

  • The freeform blend of Car
  • Construction Tolerances
  • Technical Surfacing evaluations
  • Tolerances at surface patches
  • Governing control points
  • Exercise: Sport Car

Understanding the concepts of mesh is essential for car designing, especially for sports cars. Learn about mesh and reverse engineering in ALIAS under this topic. Build your own Sports Car using ALIAS.

  • Meshing Sports Car model
  • Creating mesh on the surface
  • Reverse Engineering in ALIAS
  • Understanding deviation in Meshing model
  • Barrel Surfacing of Side Glass
  • Exercise: Sport car

In the last sessions, you will learn about the drafting techniques and how to perform them in CATIA. There will also be a project discussion so that you can constructively apply your newly acquired knowledge.

  • Drafting techniques
  • The procedure of drafting in CATIA
  • Drafting Suspension parts and assembly
  • Exercise: Suspension System
  • Project Discussion

For More Updates &Information About Future Sessions Fill Me