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Training and Internship

Our training programs cover a range of in-demand fields, including data science and machine learning, embedded systems, and full stack development. Our expert instructors are industry professionals with years of experience, and our curriculum is designed to provide practical, hands-on experience that prepares students for the workforce.
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 Embedded Systems

Embedded Systems

Learn to develop systems that interact with the physical world by enrolling in the Best Embedded & Automotive Systems course. Gain knowledge about microcontrollers, embedded programming, and interfacing techniques. Develop skills in designing and implementing real-time systems that are efficient and reliable. Apply these skills in building projects such as smart home devices, robotics, and IoT systems.

  • Embedded C
  • C++
  • Python
  • PIC, ARM, RPi
  • RTOS
  • Embedded Linux
  • Device Drivers
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 Full Stack Development

Full Stack Development

Learn to develop web applications that cover both the front-end and back-end aspects of the application by enrolling in a Full Stack Development course. Gain knowledge about various programming languages, web frameworks, databases, and deployment techniques. Develop skills in designing and implementing complex web applications that are responsive, secure, and scalable. Apply these skills in building projects such as e-commerce websites, social media platforms, and enterprise-level applications.

  • UI/UX
  • Database
  • UnitTesting
  • Microservices
  • Agile & Scrum
  • Git
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Artificial intelligence  and ML

Artificial intelligence and ML

Explore the world of AI and learn how to build intelligent systems that can make decisions based on data. Understand the fundamentals of AI, including machine learning and deep learning, and how they can be applied to real-world problems. Build AI models using popular programming languages such as Python and Java. Develop skills in natural language processing, computer vision, and robotics to create intelligent systems that can interact with humans in meaningful ways

  • Python
  • Data Analysis
  • Tableau
  • ML
  • NLP
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React

React

Enroll in a React course to learn how to build dynamic and responsive user interfaces for web applications. Gain knowledge about React's core concepts such as components, props, and state management. Develop skills in creating reusable UI components, managing application state, and handling user events. Apply these skills in building real-world projects such as e-commerce platforms, social media applications, and content management systems. Become proficient in React and enhance your web development skills to build high-quality, scalable, and interactive web applications.

  • Components
  • Routing
  • APIs
  • Libraries  
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Angular

Angular

Angular is a powerful front-end web development framework used for building dynamic and responsive web applications. It provides a comprehensive set of tools and features to build complex user interfaces and single-page applications (SPAs). Learn how to use Angular to build high-performance applications with a clean and modular architecture. Develop expertise in creating reusable components, managing application state, and working with APIs to retrieve and manipulate data. Build your skills in HTML, CSS, and TypeScript to create interactive and responsive user interfaces that deliver seamless user experiences..

  • Typescript
  • ES6
  • APIs
  • CRUD
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Data Science

Data Science

Master the art of analyzing and interpreting complex data using Python, R, or SQL. Learn how to collect, clean, and visualize data to uncover insights and make data-driven decisions. Develop advanced machine learning models and predictive analytics techniques. Become proficient in tools such as NumPy, Pandas, Matplotlib, and Scikit-Learn to manipulate data and create visualizations. Acquire the skills necessary to launch a successful career in the exciting field of data science.

  • Python
  • Data Analysis
  • Visualization
  • ML
  • DL
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Data Analytics

Data Analytics

Master the art of analyzing and interpreting complex data using Python, R, or SQL. Learn how to collect, clean, and visualize data to uncover insights and make data-driven decisions. Develop advanced machine learning models and predictive analytics techniques. Become proficient in tools such as NumPy, Pandas, Matplotlib, and Scikit-Learn to manipulate data and create visualizations. Acquire the skills necessary to launch a successful career in the exciting field of data science.

  • Python
  • Data Analysis
  • Databases
  • Data Visualization
  • Tableau
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AUTOSAR

AUTOSAR

AUTOSAR (AUTomotive Open System ARchitecture) is a standardized software architecture for automotive electronics. It provides a common platform for the development of embedded software for automotive systems, allowing for greater compatibility between different manufacturers and reducing development costs. AUTOSAR is designed to enable the implementation of highly complex automotive software systems, including advanced driver assistance systems, infotainment systems, and autonomous driving features.

  • BSW
  • ASW
  • RTE
  • MCAL
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Internet of Things (IOT)

Internet of Things (IOT)

Explore the world of IoT and learn how to build smart systems that can connect and communicate with each other through the Internet. Understand the fundamentals of IoT, including sensors, connectivity protocols, and cloud computing, and how they can be applied to real-world problems. Build IoT applications using popular programming languages such as C++, Python, and Java. Develop skills in edge computing, data analytics, and cybersecurity to create intelligent systems that can collect, process, and analyze data from the physical world. Build smart devices, such as wearable technology and smart homes, that can interact with each other to create a seamless and interconnected environment.

  • ESP8266
  • ThinkSpeak