Sourcing
Our talent hunt programs are designed to discover motivated individuals with a strong drive to build a future in AI, regardless of where they come from.
We are on a mission to make India the talent capital of the world. We are redefining the traditional education model and training the students to become AI Engineers by developing real-world AI applications.
We are on a mission to make India the talent capital of the world. We are redefining the traditional education model and training the students to become AI Engineers by developing real-world AI applications.
The problem starts in the classroom. Most traditional B.Tech programs still follow curriculums designed decades ago. These courses focus heavily on outdated theory, with little to no practical training or exposure to real-world AI applications.
The teaching methods haven’t evolved either—there’s minimal industry input, limited hands-on learning, and a lack of mentorship to guide students toward career clarity. As a result, even students from top colleges face a tough reality:
This growing disconnect between what colleges teach and what companies need has led to more unemployment among graduates and a workforce that’s not future-ready
In today's world, what you can do matters more than where you studied.
A degree alone won’t get you hired if you lack real skills. Employers want people who can solve problems, write code, and build real AI solutions. But here’s the catch—most upskilling options are either expensive or not accessible to students in Tier II and Tier III cities.
We didn’t tweak the old system—we reimagined it. At CodeQuotient School of Technology, we built AI-focused programs that prepare students for tomorrow’s jobs, not yesterday’s degrees. We combined the best of both worlds:
A UGC-recognised, AICTE-approved regular degree
Real-world AI training for practical skills
Students don't just attend lectures—they build real applications, solve real problems, and grow under the guidance of industry experts. Our approach is simple: become an AI engineer by building real-world AI applications.
And above all, we made it affordable, so that talent—not privilege—decides a student's future.
At CodeQuotient School of Technology, students become AI Engineers by developing real-world AI applications, aligned to the industry standards. This hands-on and industry-driven approach adds more value over the traditional theoretical approach, as it enables students to achieve more in less time.
Companies strategise their long-term hiring needs with us to build their talent pool by integrating their developer skills training in our curriculum. This helps the students gain relevant software development experience across a range of technologies.
Our hiring partners sponsor tuition fees for deserving students who are not able to afford formal software engineering education.
Internships are integrated into our programs to provide students with real-world exposure and graduate with up to 1.5 years of work experience.
CQST is designed for students who prioritise practical exposure and skill development over just getting a degree or attending a prestigious college.
At CQST, students gain the hands-on experience and skills that companies really want, alongside their regular computer science degree.
This gives every CQST student a competitive edge in the job market, with many graduating with real-world industry experience.
We are on a mission to make India the talent capital of the world. We are redefining the traditional education model and training the students to become AI Engineers by developing real-world AI applications.
Our focus is on unlocking the potential of youth from Tier II and III cities through industry-aligned training and connecting them to global opportunities in the AI ecosystem.
The problem starts in the classroom. Most traditional B.Tech programs still follow curriculums designed decades ago. These courses focus heavily on outdated theory, with little to no practical training or exposure to real-world AI applications
The teaching methods haven’t evolved either—there’s minimal industry input, limited hands-on learning, and a lack of mentorship to guide students toward career clarity. As a result, even students from top colleges face a tough reality:
This growing disconnect between what colleges teach and what companies need has led to more unemployment among graduates and a workforce that’s not future-ready.
In today’s world, what you can do matters more than where you studied.
A fancy degree alone won’t get you hired if you lack real skills. Employers want people who can solve problems, write code, and build real AI solutions. But here’s the catch—most upskilling options are either expensive or not accessible to students in Tier II and Tier III cities.
We didn’t tweak the old system—we reimagined it. At CodeQuotient School of Technology, we built AI-focused programs that prepare students for tomorrow’s jobs, not yesterday’s degrees. We combined the best of both worlds:
Students don’t just attend lectures—they build real applications, solve real problems, and grow under the guidance of industry experts. Our approach is simple: become an AI engineer by building real-world AI applications.
And above all, we made it affordable, so that talent—not privilege—decides a student’s future.
Our talent hunt programs are designed to discover motivated individuals with a strong drive to build a future in AI, regardless of where they come from.
Our selection focuses on curiosity, problem-solving ability, and a strong learning mindset. Rather than just academic scores, we look for individuals who are passionate about AI and ready to grow with guidance and hands-on learning.
We prepare students with deep foundational knowledge in AI and hands-on experience through real-world projects. With a focus on practical application, critical thinking, and cutting-edge tools, our training prepares them to contribute meaningfully in any AI environment—anywhere in the world.
We work closely with universities and companies as a learning & development partner to co-design learning paths that meet evolving AI demands. These partnerships result in talent development programs by companies, paid internships, fee sponsorships, and direct industry exposure—ensuring our students are job-ready and financially supported.
At CodeQuotient School of Technology, students learn software engineering by developing software on campus, aligned to the industry standards. This hands-on and industry-driven approach adds more value over the traditional theoretical approach, as it enables students to achieve more in less time.
Companies strategise their long-term hiring needs with us to build their talent pool by integrating their developer skills training in our curriculum. This helps the students gain relevant software development experience across a range of technologies
Our hiring partners sponsor tuition fees for deserving students who are not able to afford formal software engineering education.
Internships are integrated into our programs to provide students with real-world exposure and graduate with up to 1.5 years of work experience.