Robotics (Career Building Course)

Learn & develop the skills needed for an exciting career in Robotics

Kit:
Will be dispatched within 24 hours

Certificates:
Will be given on completion

Doubts clarification:
1-to-1 Sessions with our experts on Skype/Chat.

Complete Before:
45 days from the date of enrollment
(takes 16-20 Hrs to complete)


Build Together. Pay Less!
No of Team Members54321
Fee per student ₹ 11799 ₹ 12249 ₹ 12999₹ 14499 ₹ 18999
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100% refund if not satisfied.
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Try it Free
(First few chapters free)

What you'll receive
  • Robotics project tutorials
    Robotics skills

    Get course access instantly & learn 24x7

  • Learn and build your Robotics project from anywhere, anytime
    Robotics Projects

    Learn and build your project anywhere, anytime

  • Build Robotics project and showcase your practical skills to the world
    Smart Certificate

    Showcase your practical skills to the world

  • Clear your doubts on Robotics project through dedicated 1-1 sessions
    Expert Guidance

    Interact with experts 1-1 & build your profile

What you'll develop
  • Working Robotics Project
    Innovative Robotics Projects

    Impress your interviewers, recruiters with confidence

  • Develop technical skills by building Robotics project
    Hands-on Skills

    Not a 'paper engineer'. Be a real, practical engineer

  • Build portfolio by building Robotics project
    Portfolio

    Projects portfolio. Not bunch of certificates.

  • Grab the best jobs and higher education opportunities by building Robotics project
    A Career

    Grab the best jobs and higher education opportunities

Why join this career building course?

Robotics is fast growing & so it's job opportunities!
This course helps you to practically learn robotics concepts from basics to advanced and develop the skills needed for an exciting career in Robotics.

Robotics Project Thumbnail
What you'll learn in this course

This career building course involves you to build multiple projects and helps you develop a good understanding of Robotics concepts practically.
You will develop the following projects:

  • Basic
    1. Line Follower Robot
    2. Obstacle Follower & Phototropic Robot
    3. Obstacle Avoider & Photophobic Robot
  • Medium
    1. Mobile Controlled Robot
    2. Gesture Controlled Robot
  • Advanced
    1. Swarm Robots
    2. Maze Solver Robot

  • Learn: What is Robotics
  • Learn: Supervised vs Unsupervised Learning
  • Learn: Robotics Terminology & Pipeline
  • Learn: Tools for Robotics
  • Do: Installation of Anaconda
  • Do: Setting up a Jupyter Notebook
  • Do: Explore Jupyter
  • Review: What is Robotics
  • Learn: Boston Housing - Problem Description
  • Learn: Types of Data & Its Implications
  • Learn: Preprocessing of Data
  • Do: Import BH Data
  • Do: Data Visualization of BH Data
  • Do: Correlation between Target & Attributes
  • Review: Your First Robotics Model!
  • Learn: Errors & Types
  • Learn: Mean Squared Error
  • Do: Define MSE Function
  • Do: Calculate MSE for Sample Data
  • Review: Mean Squared Error
  • Learn: Testing & Training Data - Cross Validation
  • Do: Split the dataset
  • Review: Data Splitting & Accuracy of Model
  • Learn: Linear Regression & its Types
  • Learn: Gradient Descent - Learning Rates
  • Learn: Programming logic - Update Function
  • Do: Update Function
  • Learn: Programming logic - Descent Function
  • Do: Descent Function
  • Learn: Programming logic - Model Training Visualization
  • Do: Model Training Visualization
  • Learn: Programming logic - Error Visualization
  • Do: Error Visualization
  • Review: Linear Regression
  • Learn: Prediction & Validation
  • Learn: Programming logic - Prediction of Prices
  • Do: Prediction of Prices
  • Do: Train Model with Different Attributes & Predict
  • Review: Robotics Prediction
  • Learn: Credit Card Fraud Detection - Problem Description
  • Learn: Data Preprocessing - Programming Logic
  • Do: Import & Visualize Data
  • Do: Preprocess Data
  • Learn: What is SelectkBest
  • Learn: SelectKBest - Programming Logic
  • Do: SelectKBest Features
  • Do: Discard Bad Features
  • Do: Visualize Features
  • Learn: What is Gaussian Naive Bayes Algorithm
  • Learn: What is Cross Validation
  • Learn: Gaussian Naive Bayes - Programming Logic
  • Do: Split Dataset
  • Learn: What is Confusion Matrix
  • Learn: Confusion Matrix - Programming Logic
  • Do: Evaluation & Visualization
  • Learn: Movie Recommendation - Problem Description
  • Learn: MRS - Problem Setup
  • Do: Download & Import Data
  • Learn: MRS - Data Visualization - Programming Logic
  • Learn: MRS - Data Processing - Programming Logic
  • Do: MRS - Data Vizualization - Movies
  • Do: MRS - Data Processing - Movies
  • Do: MRS - Data Vizualization & Processing - Users
  • Do: MRS - Create pivot table and sparse matrix
  • Do: MRS - Map Data - Movies to Movie ID
  • Learn: K Nearest Neighbours
  • Learn: MRS - Train the Model
  • Review: K Nearest Neighbours
  • Learn: MRS - Search Movie Title - Programming Logic
  • Do: MRS - Search Movie Title
  • Do: MRS - Recommend Movies
  • Learn: What is Deep Learning?
  • Learn: Recognize Handwritten Digits - Problem Description
  • Learn: MNIST Dataset - Description
  • Learn: Recognize Handwritten Digits - Problem Setup
  • Do: Import MNIST Dataset
  • Learn: Basic Properties of an Image
  • Do:MNIST Data - Properties of the Dataset
  • Do: MNIST Data - Visualize Samples of the Data
  • Do: MNIST Data - Scaling the Data
  • Learn: What is a Neural Network
  • Learn: Representation of Neural Networks
  • Learn: Output of a Neural Network
  • Learn: Activation Functions in Neural Networks
  • Learn: TensorFlow & Keras - Basic Concepts
  • Learn: Recognize Handwritten Digits - Deep Learning Model - Programming Logic
  • Do: Recognize Handwritten Digits - Setup Neural Network
  • Do: Recognize Handwritten Digits - Train the Model
  • Learn: Recognize Handwritten Digits - Model Evaluation - Programming Logic
  • Do: Recognize Handwritten Digits - Vizualize model training
  • Do: Recognize Handwritten Digits - Evaluate Accuracy & Make Predictions
  • Do: Recognize Handwritten Digits - Function to Visualize Results
  • Do: Recognize Handwritten Digits - Visualize Prediction of Random Samples
  • Do: Recognize Handwritten Digits - Visualize Prediction of Incorrect Samples
How can you build this Robotics project?
1) Enroll

Get access to course instantly and learn 24x7 anytime, anywhere at own convenience

2) Learn

Access video lectures, tutorials and quizzes to learn the technology in Robotics

3) Build

Use the tutorials with practical sessions in course to build your Robotics project

4) Submit assignment

Complete the course and submit your assignment to get your certificate

Why Roboversity?

  • Roboversity is a division of Skyfi Labs that develops courses with a focus on Electrical and Electronics Engineering disciplines.
  • Awards won by us:
    • 2nd Best Business Venture Award, Ideas, IIT Kanpur
    • 30 Most Promising Startups, Next Big Idea, IIM Bangalore
    • Runner-up, UnLtd India Growth Challenge
    • Limca book of records
  • Associated with industry and partnership with organizations transforming engineering education
  • Our courses are officially a part of IIT Delhi Syllabus and IIT Kanpur orientation programs
  • Experience of training students across 27 states in India and Dubai (Presence)
  • Improved performance of students in Campus Placements
  • A venture by IIT Kanpur alumni and funded by The Chennai Angels and Spark Capital

Have any concerns?

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Contact Details

Please feel free to contact us in case of any queries.
Email: info@roboversity.com
Phone: 18001237177 (10AM - 8PM; Mon - Sat)

Registrations

Enroll Now
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Debit Card)
Try it Free
(First few chapters free)

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