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IOT & Robotics
Training

Understand the scope and prospects of IOT & Robotics, learn how ML is being used in various industries with our internship programs and develop the necessary skills and Python programming to become a successful ML Engineer.

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IOT & Robotics

Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, IOT & Robotics, TensorFlow, and more!

Course Overview

This IOT & Robotics course is designed to provide a comprehensive introduction to ML concepts, algorithms, and applications. You'll work on real-world projects, learn Python programming, and build models using popular libraries like Scikit-learn, Pandas, and TensorFlow.

  • 1. Introduction to IOT & Robotics & AI
  • 2. Python for ML – Basics to Advanced
  • 3. Data Preprocessing and Feature Engineering
  • 4. Supervised & Unsupervised Learning Algorithms
  • 5. Real-world Projects and Capstone
  • 6. Resume & Interview Preparation

  • 1. Neural Networks Fundamentals
  • 2. CNNs, RNNs, and LSTMs
  • 3. Deep Learning Frameworks (TensorFlow, PyTorch)
  • 4. Model Optimization and Tuning

  • 1. Text Preprocessing Techniques
  • 2. Sentiment Analysis
  • 3. Word Embeddings & Transformers
  • 4. Chatbots and Language Models

  • 1. Image Processing Fundamentals
  • 2. Object Detection & Recognition
  • 3. Face Detection & Classification
  • 4. Transfer Learning in CV

  • 1. Git, GitHub, and Version Control
  • 2. Streamlit & Flask for Model Deployment
  • 3. Docker & Cloud Integration
  • 4. MLOps Basics

  • 1. Building a Portfolio
  • 2. Mock Interviews & Feedback
  • 3. Final Capstone Project Presentation
  • 4. Connecting with Recruiters

Instructor: Jasika Peat, Data Scientist

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