CT 2020 - Internship program is designed to provide students engaged in a field experience with an opportunity to share their insights, to explore the links between students' academic preparation and their field work, and to assist participants in developing and carrying out the research project which will serve to culminate their internship experience.

Internships are individualized and tailored to the needs and interests of each student in the program. As part of the internship experience, students are expected to take an active role in finding an appropriate internship for themselves.

Benefits of Internship:

1. An Internship Provides Real Life Experience and Exposure : An internship enables you to gain first-hand exposure of working in the real world. It also allows students to harness the skill, knowledge, and theoretical practice they learnt in university.

2. The Opportunity to Learn More about Yourself : The experiences we go through are what shapes us. Your internship will not only encourage personal development, but also a greater understanding of self.

3. Get Connected and Develop Your Professional Network : Networking is an exchange of information between people, with the ultimate goal of establishing acquaintances and relationships to advance your professional career.

Prerequisites

• Students shall carry their own laptops with suitable configuration
• Students shall have minimum coding knowledge (atleast C language)
• Request Letter/ Email from the office of Training & Placement cell of the college should allot various slots of minimum 3 weeks during summer vacation as internship periods for the students.

ABOUT ML INTERNSHIP

Selected interns undergo intensive training on Machine Learning via Online with mentor support. After the completion of training, the interns shall join a team to build a project assigned by the mentors.

Machine Learning using Python : This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. We'll explore many popular algorithms including Classification, Regression etc.

Machine Learning using Django : In this series of Django Development tutorial, we will first learn to create a Django REST application to deploy Machine Learning models. Django is a high-level Python Web Development framework that encourages rapid development and clean, pragmatic design.

Machine Learning with Raspberry Pi : The Raspberry Pi is a powerful tool when it comes to machine learning (ML). Its processing capabilities, matched with a small form factor and low power requirements, make it a great choice for smart robotics and embedded academic-projects.

Note: Only one tool you can choose for ML.

ABOUT IoT INTERNSHIP

Internet of Things (IoT) cuts across different application domain verticals ranging from civilian to defense sectors. These domains include agriculture, space, healthcare, manufacturing, construction, water, and mining, which are presently transitioning their legacy infrastructure to support IoT.

What You Learn

• Python & Embedded C
• Raspberry PI
• IoT with - Tensor flow
• Arduino IDE
• Thing Speak
• Real-time MySQL database connectivity

2 Weeks Internship Schedule

• Technical Knowledge training and practice : 15 hours (7 days)
• Project requirements selection and abstract preparation : 2-3 hours (1 day)
• Project Development : 12 hours (5 days)
• Testing project and project documentation support : 2-3 hours (1 day)

Highlights of the Program

• During project requirement selection of internship you can develop your own idea. Our mentors will support you
• Internship Materials like PPT’s, Documents, software’s and software installation support will be provided to the students while the internship program
• Technological guidance, materials and support will be shared in entire semester of the academic year.
• Internship Certificates provide in hardcopy and softcopy.
• Costs of the 6 types of Internship programs are different, for more details feel free to contact us.

For more details, please write to us at
internshipatct@gmail.com or call us at +91 8121 953811