Build the Future with Robotics & AI
Diploma courses 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.
Our Courses
Module 1: Preparatory Session
Introduction to Robotics & AI
Overview of tools and platforms
Module 2: Arduino Robotics
Learn Robotics Basics
Introduction to Arduino
Introduction to Sensors and Actuators
Coding Arduino with sensors and actuators for robotics projects
Module 3: Basic Electronics
Circuit design fundamentals
PCB Design, resistors, capacitors, and ICs
Module 4: Raspberry Pi Robotics
Introduction to Raspberry Pi
Interfacing sensors and actuators
Python programming for Raspberry Pi
Module 5: OpenCV & Computer Vision in Robotics
Image processing basics
OpenCV Simulation
OpenCV implementation in Raspberry Pi hardware
Module 6: Integrated Robotics Projects
AI-driven robotics projects
Real-world problem-solving applications
Assessments & Project Presentation
Module 1: Python Programming
Python basics, functions, and data structures
Libraries for AI & Data Science (NumPy, Pandas, Matplotlib, Seaborn)
Module 2: MySQL Database
Database concepts
SQL queries for data handling
Module 3: Probability, Linear Algebra, and Statistics
Random processes and probability theory
Statistical methods for data science
Linear algebra applications in ML
Module 4: Data Science
Data preprocessing and visualization
Exploratory Data Analysis (EDA)
Feature engineering
Module 5: Machine Learning
Supervised & Unsupervised Learning
Regression, Classification, Clustering
Model evaluation and optimization
Assessments & Project Presentation
Module 1: Mathematical Foundations
Advanced Probability & Statistics
Optimization techniques for ML
Linear Algebra & Random Processes
Module 2: Advanced Machine Learning Algorithms
Ensemble Learning (Bagging, Boosting, Random Forests)
Support Vector Machines
Dimensionality reduction techniques (PCA, LDA)
Module 3: Deep Learning
Neural networks & Deep learning basics
Advanced neural networks (CNN, RNN, LSTM)
Autoencoders & GANs
Transfer learning
Module 4: Natural Language Processing (NLP)
Natural Language Processing (NLP) techniques
Text preprocessing & embeddings
Sequence models for NLP
Transformer architectures (BERT, GPT basics)
Module 5: AI & ML in Practice
Model deployment & scalability
Cloud-based AI platforms
Case studies & industry applications
Assessments & Project Presentation
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!
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