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Description : Machine Learning: Coding Deep Neural Networks in IT Summer Camp in Massachusetts Ave with coding

IT Summer Camp in Massachusetts Ave with coding
IT Summer Camp in Massachusetts Ave with coding
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camp group
Ranking: 85.9
Accommodation type: boarding house, residence
Language of studies English
from $ 6299.00 / 2 weeks
Program name
Date
Age
Cost
14.06.2020 -07.08.2020
15-18
from 6 399 $ / 2 weeks
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Description

Machine Learning: Coding Deep Neural Networks

  • Age of students: 15-18 years
  • Skill level: Beginner-Advanced
  • Course duration: 2 weeks
  • Direction: Robotics, coding
  • Tools: NVIDIA Jetson Nano, PyCharm, TensorFlow.

Modern computers are powerful devices that can perform millions of tasks. Students of this course will teach their devices not only to perform tasks, but also to learn: by creating an environment for learning in a certain field, students will endow the computer with new features, for which they will later be rewarded with unique services that help in modern life. Examples of computer studying are Siri, Snapchat filters.

Students will learn:

  • Create neural networks with the TensorFlow tool
  • Implement Computer Learning Using the Python Tool
  • Optimize Learning Speed
  • Develop coding and computational thinking skills
  • Teach computer models different skills.
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All courses of this institution

Program name
Date
Age
Cost
14.06.2020 -07.08.2020
15-18
from 6 579 $ / 2 weeks

Autonomous and Self-Driving Robotics Lab

  • Age of students: 15-18 (Must turn 15 by 12/31/2020)
  • Skill level: Beginner-Advanced
  • Direction: Coding, Robotics

Arduino is a microcontroller popular in robotics: students will learn how to create circuits and program a device to perform certain actions. MicroPython is a tool that gives the robot vision: it is a small camera embedded in the device - it will allow the device to make decisions depending on the situation (go around obstacles, stop, and so on). Students work in groups and in 2 weeks create their own robotics project.

Students will learn:

  • Fundamentals of Electrical Engineering
  • Create autonomous robotics and computer vision
  • Encode devices
  • Build robots
  • Teamwork and critical thinking.
14.06.2020 -07.08.2020
15-18
from 6 399 $ / 2 weeks

Machine Learning: Coding Deep Neural Networks

  • Age of students: 15-18 years
  • Skill level: Beginner-Advanced
  • Course duration: 2 weeks
  • Direction: Robotics, coding
  • Tools: NVIDIA Jetson Nano, PyCharm, TensorFlow.

Modern computers are powerful devices that can perform millions of tasks. Students of this course will teach their devices not only to perform tasks, but also to learn: by creating an environment for learning in a certain field, students will endow the computer with new features, for which they will later be rewarded with unique services that help in modern life. Examples of computer studying are Siri, Snapchat filters.

Students will learn:

  • Create neural networks with the TensorFlow tool
  • Implement Computer Learning Using the Python Tool
  • Optimize Learning Speed
  • Develop coding and computational thinking skills
  • Teach computer models different skills.
14.06.2020 -07.08.2020
15-18
from 6 399 $ / 2 weeks

Hackathon: Team-Based App Creation with Unity

  • Age of students: 15-18 years
  • Skill level: Beginner-Advanced
  • Course duration: 2 weeks
  • Direction: game development, coding
  • Tools: Unity, C #, Adobe Photoshop.

Students will learn how, using modern tools, to create applications for smartphones and tablets. In the first week of the course, theoretical knowledge will be gained regarding Unity, C #, and the Adobe Photoshop graphic tool. In the second week, students will begin to create their own project: it will be a mobile application or even a colourful game - it will be possible to realize almost any idea.

Students will learn to:

  • Create mobile apps
  • Work with C # Tools
  • Design workflows
  • Work in a team.
14.06.2020 -07.08.2020
15-18
from 6 299 $ / 2 weeks

Cybersecurity Lab: Encryption and Steganography

  • Age of students: 15-18 years
  • Skill level:  Beginner-Advanced
  • Course duration: 2 weeks
  • Direction: Encoding
  • Tools: Python, PyCharm, HARP prototype.

Students will receive modern knowledge about computer codes, information flows, cryptographic elements: the work is based on texts, audio and video information. In the course, students will learn how a character set is converted to a video clip or other product, and will learn how to create ciphers on their own. During the course, knowledge that is rare and expensive for the modern labour market will be acquired.

Students will learn to:

  • Use Python to encrypt and decrypt messages
  • Apply multiple encryption methods
  • Hack hardware devices and solve cryptographic puzzles
  • Develop security skills and analytics.
14.06.2020 -07.08.2020
15-18
from 6 299 $ / 2 weeks

C ++ Game Programming: Algorithms and AI

  • Age of students: 15-18 years
  • Skill level: Beginner-Advanced
  • Course duration: 2 weeks
  • Direction: Encoding
  • Tools: C ++, Microsoft Visual Studio.

The C ++ programming language opens up a ton of possibilities: students will gain effective knowledge that allows them to create applications and 2D games. During the second week, students will be taught to introduce artificial intelligence into their project, which will help to create maps and look for ways. Students will master the algorithms that are the basis of many modern games, will have the opportunity to attend 12 exclusive online master classes.

Students will learn:

  • Read user input and print formatted output
  • Implement a game loop
  • Use algorithms to help to solve many game problems.
14.06.2020 -07.08.2020
15-18
from 6 299 $ / 2 weeks

Game Engine Development With C ++

  • Age of students: 15-18 years
  • Skill level: Beginner-Advanced
  • Course duration: 2 weeks
  • Direction: Encoding
  • Tools: C ++, Microsoft Visual Studio.

Students will learn the C ++ tool that underlies many game engines: in 2 weeks, teachers will teach you how to create games from scratch, to analyze code, and to optimize it. Students will compare the code of different games, making a comparative table, finding ways to quickly solve the necessary problems. The knowledge gained during the course is enough to develop your own project and introduce new content into it.

Students will learn to:

  • Read user input and print formatted output
  • Add graphics and controls to the game
  • Develop an API to create game engine content
  • Implement a game loop
  • Create the base code used in various games.
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