Guaranteed Placement Opportunity Program
Features
Yes You Are Eligible
- B. Tech Fresh Graduate of 2023 batch
- B. Tech Graduate of the 2022 batch
- Courses eligible –
- Students of B. Tech Mechanical and Civil engineering or any other course may join the placement program depending upon their willingness to work in the software industry.
Call us for complete details.
My NOS NINJA: Full Stack Developer Curriculum
Our Full Stack Developer Curriculum is designed to provide students with the knowledge, skills, and competencies needed to become proficient in all aspects of web development, from front-end design to back-end implementation. It is a comprehensive program that covers a wide range of topics, ensuring that students have a solid foundation in all aspects of web development.
Laying the Foundation
- Programming Basic
- Implementation, Bruteforce, String, Array, Loops
Data Structures and Algorithms
- Key-Value Pairs, Time & Space Complexity, Sorting Algorithms
- Backtracking, Linked lists, Greedy
- Stacks & Queues, Recursion
- Greedy, Binary Search
HTML, JS, CSS, Bootstrap
- HTML, CSS & DOM
- Advanced JS & ES6
Modern Frontend Technologies
- React Basics
- React Advanced
- Frontend Project
Scalable Backends & Deployments
- Node JS & DB Introduction
- Express, DB, CRUD & REST API
- MVC, Tokens, Caching, Files
- Servers, AWS, Containers
My NOS NINJA: Data Science Curriculum
Our data science curriculum is designed to provide students with the knowledge, skills, and competencies needed to succeed in the rapidly growing field of data science. It is a comprehensive program that covers a wide range of topics, from data analysis and modeling to machine learning and deep learning.
- Databases – SQL & NoSQL
- Statistical Foundations for Data Science
- Intro to Big Data Analytics
- Python for Data Science.
- Intro to Deep Learning
- Data Visualization
- Machine Learning Part I
- Machine Learning Part II
The Process
Our engineering curriculum is designed to provide students with a solid foundation in the fundamental principles of engineering, including mathematics, physics, and chemistry. We believe that a strong understanding of these core principles is essential for success in any engineering discipline.
Guaranteed Placement Program
Financing Option Available
Features
Yes You Are Eligible
- B. Tech Fresh Graduate of 2023 batch
- B. Tech Graduate of the 2022 batch
- Courses eligible –
- Students of B. Tech Mechanical and Civil engineering or any other course may join the placement program depending upon their willingness to work in the software industry.
Call us for complete details.
My NOS NINJA: Full Stack Developer Curriculum
Our Full Stack Developer Curriculum is designed to provide students with the knowledge, skills, and competencies needed to become proficient in all aspects of web development, from front-end design to back-end implementation. It is a comprehensive program that covers a wide range of topics, ensuring that students have a solid foundation in all aspects of web development.
Laying the Foundation
- Programming Basic
- Implementation, Bruteforce, String, Array, Loops
Data Structures and Algorithms
- Key-Value Pairs, Time & Space Complexity, Sorting Algorithms
- Backtracking, Linked lists, Greedy
- Stacks & Queues, Recursion
- Greedy, Binary Search
HTML, JS, CSS, Bootstrap
- HTML, CSS & DOM
- Advanced JS & ES6
Modern Frontend Technologies
- React Basics
- React Advanced
- Frontend Project
Scalable Backends & Deployments
- Node JS & DB Introduction
- Express, DB, CRUD & REST API
- MVC, Tokens, Caching, Files
- Servers, AWS, Containers
My NOS NINJA: Data Science Curriculum
Our data science curriculum is designed to provide students with the knowledge, skills, and competencies needed to succeed in the rapidly growing field of data science. It is a comprehensive program that covers a wide range of topics, from data analysis and modeling to machine learning and deep learning.
- Databases – SQL & NoSQL
- Statistical Foundations for Data Science
- Intro to Big Data Analytics
- Python for Data Science.
- Intro to Deep Learning
- Data Visualization
- Machine Learning Part I
- Machine Learning Part II
The Process
Our engineering curriculum is designed to provide students with a solid foundation in the fundamental principles of engineering, including mathematics, physics, and chemistry. We believe that a strong understanding of these core principles is essential for success in any engineering discipline.
M. Tech with Guaranteed Placements
Features
Yes You Are Eligible
- Fresh Engineering Graduates
- Software & IT Professionals
- Domain Experts
- Marketing & Sales Professionals
- Manufacturing & Industrial Engineering Professionals
Job Opportunities
- Data Analyst
- Data Scientist
- Data Engineer
- Product Analyst
- Machine Learning Engineer
- Decision Scientist
- Software Development Engineer
Call us for complete details.
MyNOS Maestro: Full Stack Curriculum (1/2)
Our Full Stack Developer Curriculum is designed to provide students with the knowledge, skills, and competencies needed to become proficient in all aspects of web development, from front-end design to back-end implementation. It is a comprehensive program that covers a wide range of topics, ensuring that students have a solid foundation in all aspects of web development.
Laying the Foundation
- Programming Basic
- Implementation, Bruteforce, String, Array, Loops
Data Structures and Algorithms
- Key-Value Pairs, Time & Space Complexity, Sorting Algorithms
- Backtracking, Linked lists, Greedy
- Stacks & Queues, Recursion
- Greedy, Binary Search
HTML, JS, CSS, Bootstrap
- HTML, CSS & DOM
- Advanced JS & ES6
Modern Frontend Technologies
- React Basics
- React Advanced
- Frontend Project
Scalable Backends & Deployments
- Node JS & DB Introduction
- Express, DB, CRUD & REST API
- MVC, Tokens, Caching, Files
- Servers, AWS, Containers
MyNOS Maestro: Data Science Curriculum (2/2)
Our data science curriculum is designed to provide students with the knowledge, skills, and competencies needed to succeed in the rapidly growing field of data science. It is a comprehensive program that covers a wide range of topics, from data analysis and modeling to machine learning and deep learning.
SEMESTER 1
- Python for Data Science
- Statistical Foundations for Data Science
- Databases – SQL & NoSQL
MTA: Introduction to Programming using Python
Microsoft Azure Fundamentals
SEMESTER 2
- Machine Learning Part I
- Machine Learning Part II
- Data Visualization
- Intro to Deep Learning
- Intro to Big Data Analytics
IBM Data Science Professional
Certificate
Microsoft Certified: Azure
Developer Associate
SEMESTER 3
- Thesis
- Full Time Internship or
- Capstone Project
Data Science Specialization by
John Hopkins University
Google Cloud Certification: Professional Machine Learning Engineer
SEMESTER 4
- Thesis
- Full Time Internship or
- Capstone Project
Tableau Certified Associate
Tableau Certified Professional
Data Science Certification from UT –
Arlington & Mississippi State University
The Process
Our engineering curriculum is designed to provide students with a solid foundation in the fundamental principles of engineering, including mathematics, physics, and chemistry. We believe that a strong understanding of these core principles is essential for success in any engineering discipline.