Future Tech Mastery: Robotics, AI, Cloud & Productivity Tools (Autonomous Robotics + Bluetooth Robotics + Azure AI + Virtualization + AI Productivity Tools)

Categories: Internship
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About Course

About the Course 

This integrated program provides learners with hands-on expertise across robotics, artificial intelligence, cloud computing, and AI productivity tools. The course begins with building autonomous and Bluetooth-controlled robots, progresses to AI concepts and deployment on Microsoft Azure, covers virtualization and server administration, and concludes with practical application of AI productivity tools for professional and academic efficiency. 

By the end of the program, learners will be able to build intelligent robots, deploy AI solutions in cloud environments, manage virtualized servers, and use AI tools to improve productivity, making them well-prepared for careers in robotics, AI, cloud, and digital transformation roles. 

Duration: 90 Days 
Total Hours: 180 Hours 
Mode: Practical-Oriented Training (2 Hours/Day) 

 

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What Will You Learn?

  • By completing this program, learners will be able to:
  • Robotics Objectives
  • Build autonomous robots with obstacle avoidance and navigation
  • Develop Bluetooth-controlled robots using microcontrollers
  • Interface sensors, motors, and actuators for practical robotics projects
  • AI & Cloud Objectives
  • Understand AI fundamentals: ML, DL, NLP, computer vision
  • Work with Azure AI Services and Azure ML Studio
  • Deploy AI workloads on virtualized servers and cloud environments
  • Manage virtualization technologies (VMware, Hyper-V, VirtualBox)
  • Configure Windows & Linux servers and networked environments
  • AI Productivity Tools Objectives
  • Understand and apply AI tools for writing, design, automation, and collaboration
  • Integrate AI tools into professional, academic, and teaching workflows
  • Evaluate and select the right AI tool for specific tasks
  • Use AI responsibly and ethically to improve output efficiency

Course Content

Module-1: Robotics Fundamentals & Autonomous Robots (25 Hours)

  • Robotics basics, types & safety
  • Arduino microcontrollers, motors & actuators
  • Sensors (IR, Ultrasonic, line sensors)
  • Obstacle avoidance & line-following algorithms
  • Practical: Build autonomous robots

Module-2: Bluetooth Robotics & Integration (15 Hours)

Module-3: AI Fundamentals & Azure AI Services (20 Hours)

Module-4: Azure Machine Learning & Responsible AI (15 Hours)

Module-5: Virtualization & Server Administration (20 Hours)

Module-6: AI Productivity Tools (25 Hours)

Module-7: Capstone Integration Project (20 Hours)

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