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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.
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
4.7
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4,102+ learners
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