Build the Future with Robotics & AI
Diploma in Robotics and AI is a specialized program designed to provide a strong foundation in the fields of robotics, artificial intelligence (AI), and automation technologies. It typically covers both theoretical concepts and practical skills, preparing students for careers in emerging tech industries or further studies in advanced robotics and AI.
Course Duration:6 months (4 Months Training+2 Months Internship)
Program Highlights
Industry aligned Curriculum
Industry Expert sessions
Placement training and assistance
Capstone Projects / Industry hands on projects
Course Modules
Introduction to Coding
Electronics Hardware
Robotics
Introduction to Python coding
Learn Robotics basics
Introduction to Sensors and Actuators
Introduction to Arduino
Coding Arduino with different sensors and actuators to build different Robotics Projects
Learn Electronics Circuits
Working Principles of Electronics Components
Pcb Designing Using Designing Software
Interfacing Sensors with Nodemcu
Basics of Iot Using Esp12e / Nodemcu Controller
Data Upload to Iot Platform Using Blynk and Thingspeak.
Example Projects
Python Basics: Variables, Data Types, User Interactive Command, Operators, Loops
Statements
Functions: Defining Functions, Passing Arguments To Functions, Different Types Of Arguments, Returning Values From Functions, Local And Global Namespace, Lambda Function, Recursion Filter, Generators And Decorators
Modules: Introduction to Modules, Importing Modules, Creating and Using Modules
File Handling & Exception Handling: File Processing, Reading And Writing Files Using 'With' State- Ments. What Is An Exception, Raising And Catching Exceptions And Handling Errors Using Try-Catch.
Object Oriented Programming: Introduction to Oops, Classes And Objects, Inheritance and Polymorphism, Encapsulation And Abstraction menu
Learn Robotics basics
Introduction to Sensors and Actuators
Introduction to RaspberryPi
Coding Pi with different sensors and actuators to build different Robotics Projects
AI OpenCV in Raspberry PI Robotics
AI Using Jetson Nano
Implementation of AI OpenCV in Robotics
Learn AI libraries using hardware to develop AI in Robotics Projects
Introduction to SQL
SQL database
Data definition language
Data manipulation language
Mysql functions and joins
Mysql Subqueries
Mysql stored procedures and triggers
Basics of Probabilty, Probability theory and its applications in AI.
Descriptive and inferential statistics, Permutations , Combinations, Conditional probability
Random variables, distributions, Statistics , Estimation, independent events, Bayes' rule, probability density function
Mean, median, mode, Standard deviation, correlation, correlation coefficient, Bias
Variance Testing of hypothesis, confidence interval, Chi-squared test, t test
Introduction to Data and Data Science
Data Modelling
Data Visualization Charts, Graphs
Tables Using Data Science Libraries Numpy , Pandas , Matplotlib , Scipy, Tableau , Power Bi
Data Analytics
Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Reinforced Learning
Introduction to Neural Networks and Deep Learning
Neural Networks Architecture, DNN ANN CNN RNN
DL Libraries - Keras, Tensorflow, Perceptron
How Chatbot works?
Introduction to NLP
Tokenization, Stemming, Lemmatizing, chunking
Entity Recognition and Extraction, word Embeding
Text Mining and develop a chatbot NLTK Library
Ignite Your Child’s Passion for STEM
Give your child a head start in the growing world of STEM! With STEM Robotics’ online courses, they’ll gain valuable skills in coding, engineering, and robotics that will set them up for success in high school, college, and beyond. Get started today and watch them grow into future innovators!
