TeqPeers - A Venture By BestPeers
https://teqpeers.com/About
TeqPeers, powered by BestPeers, offers a dynamic 3-month internship program designed to provide both IT and non-IT students with a strong foundation in Python Django. This program emphasizes hands-on learning, enabling participants to work on live projects that mirror real-world industry challenges. By combining practical experience with expert guidance, TeqPeers ensures that interns not only gain technical proficiency but also develop the problem-solving and collaboration skills required to thrive in the fast-paced IT industry. Whether you're from a technical background or a non-technical field, this internship will help bridge the gap between academic knowledge and industry demands, making you job-ready and confident in your skills.
Tech stack
Python
React.js
Ruby on Rails (ROR)
NodeJS (Node.js)Company video
Candid answers by the company
We offer a dynamic 3-month internship program designed to provide both IT and non-IT students with a strong foundation in Python Django.
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Jobs at TeqPeers - A Venture By BestPeers
PythonRuby on Rails (ROR)React.jsNodeJS (Node.js)𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝘁𝗼𝗽 𝟭𝟬 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗲𝗿𝘀
Courses: Python, React, Node, ROR
Eligibility: BE, BTech, MTech, MCA students
Batch Passout: 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026
1. The Full Stack batch (Python, React, ROR, Node) is starting from 3rd March.
2. The course fee is ₹30,000, which can be paid in 3 installments of ₹10,000 each.
3. The course duration is 3 months.
4. The training will be 8 hours daily, from 10 AM to 7 PM, Monday to Friday.
5. The training will be practical and hands-on, focusing on live projects using laptops and computers (no board teaching).
6. Each batch will have only 20 students, and the top 10 students will get guaranteed placement in BestPeers with a starting salary of ₹15,000 per month (fixed for 1 year, followed by an appraisal).
7. Before joining the course, we will conduct an interview to help identify your weak areas so that you can focus on improving them during the training.
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