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AI ML ROBOTICS Online Live Class by Experts

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AI ML ROBOTICS Online Live Classes in Nizwa | Free Demo Training

AI ML ROBOTICS - Syllabus, Fees & Duration

Introduction

This 4-month AI, Machine Learning (ML) & Robotics course is designed to build a strong foundation in Artificial Intelligence, Python programming, Machine Learning, Robotics, Computer Vision, and IoT. Students gain hands-on experience through real-world projects and practical sessions.

4-Month Syllabus

Month 1: Python Programming & AI Fundamentals

  • Introduction to Artificial Intelligence
  • History, Types, and Applications of AI
  • Python Installation and Development Environment
  • Variables, Data Types, Operators
  • Conditional Statements and Loops
  • Functions and Modules
  • Lists, Tuples, Dictionaries, and Sets
  • File Handling and Exception Handling
  • Mini Python Projects

Month 2: Machine Learning Fundamentals

  • Introduction to Machine Learning
  • Data Collection and Data Preprocessing
  • NumPy and Pandas
  • Data Visualization using Matplotlib
  • Supervised Learning
  • Unsupervised Learning
  • Regression and Classification
  • Model Training and Evaluation
  • Scikit-learn Basics
  • Machine Learning Mini Projects

Month 3: Robotics & Computer Vision

  • Introduction to Robotics
  • Robot Components and Architecture
  • Sensors and Actuators
  • Arduino Programming Basics
  • Motor Control and Servo Motors
  • Ultrasonic and IR Sensors
  • Computer Vision with OpenCV
  • Face Detection and Object Detection
  • Voice-Controlled Robot Concepts
  • Robotics Practical Sessions

Month 4: AI Projects & Advanced Robotics

  • Introduction to Deep Learning
  • Neural Networks Basics
  • Image Classification
  • Natural Language Processing Basics
  • IoT Integration with Robotics
  • Smart Automation Projects
  • AI Chatbot Development
  • Capstone AI & Robotics Project
  • Project Presentation
  • Final Assessment and Certification

Projects Included

  • Face Recognition Attendance System
  • Obstacle Avoiding Robot
  • Line Following Robot
  • AI Chatbot
  • Object Detection System
  • Smart Home Automation
  • Image Classification Project
  • IoT-Based Smart Robot

Download Syllabus - AI ML ROBOTICS
This syllabus is not final and can be customized as per needs/updates
 

    Course Highlights

  • Since 2001, Making IT Experts by Experts
  • Duration: 1000 Hours (Vary as per your skill)
  • Course Fees
  • Individual Live Classes (1:1)
  • Batch Classes @ Low Fees
  • Training on Your Time, Any Where
  • Access to Recorded Videos
  • Practical Internship on Projects
  • 100% Placement Support by our jobsNEAR.in
  • Training/Internship Certificate
  • Our Locations

10000+
20+
50+
25+

AI ML ROBOTICS Jobs in Nizwa

Enjoy the demand

Find jobs related to AI ML ROBOTICS in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Nizwa, chennai and europe countries. You can find many jobs for freshers related to the job positions in Nizwa.

  • AI Engineer
  • Machine Learning Engineer
  • Robotics Engineer
  • Computer Vision Engineer
  • Data Scientist
  • AI Developer
  • Robotics Programmer
  • Automation Engineer
  • AI Research Assistant
  • IoT Engineer

AI ML ROBOTICS Internship/Course Details

AI ML ROBOTICS internship jobs in Nizwa
AI ML ROBOTICS . **Course Description (Use Nizwa)** Our **AI, Machine Learning (ML) & Robotics Course in Nizwa** is a comprehensive 4-month training program designed to help students build a strong foundation in Artificial Intelligence, Python programming, Machine Learning, Robotics, Computer Vision, Deep Learning, and IoT. Whether you are a school student, college student, beginner, or aspiring technology professional, this course equips you with the skills needed for future careers in AI and robotics. Join our **AI, ML & Robotics Course in Nizwa** to learn from experienced trainers, work on live projects, and earn a certification that prepares you for the evolving world of intelligent technologies. The course emphasizes practical learning through hands-on projects, real-world applications, and industry-relevant tools.

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