In today’s rapidly evolving
technological landscape, the need for skilled professionals in Artificial
Intelligence (AI)and Machine Learning (ML) is critical. However, there is a
growing disconnect between academic learning and industry demands, especially
for B.E / B.Tech graduates. Innovit Technologies, the brand name of Innovit
Learning Pro Aggressive Technologies LLP, co-founded by Anuj Tiwari and Harish
Pawar, is addressing this issue by offering specialized training programs that
bridge the gap between theoretical education and industry-relevant skills.
More Than 70% of
B.Tech Graduates Are Unemployed
A startling statistic
highlights a major concern in India’s education system: more than 70% of
Engineering graduates are unable to secure meaningful employment in their
respective fields. Despite having a degree, many graduates struggle to meet the
practical requirements set by tech companies, particularly in fields like AI
and ML, which are among the most in-demand skills today. This widespread
unemployment can be attributed to a fundamental problem — academic curricula in
engineering colleges across India have not evolved in sync with the rapidly
changing demands of the industry.
Graduates often possess strong
theoretical knowledge but lack the hands-on experience and specialized skills
that are critical in emerging fields. Innovit Technologies is
working to solve this problem by providing industry-specific, skill-oriented
training that prepares students for real-world challenges, ensuring they
graduate with relevant, job-ready expertise.
NASSCOM Report
and the Skills Gap
The National Association of
Software and Service Companies (NASSCOM) has been actively pushing for reform
in India’s education system, especially in fields like AI and ML.
NASSCOM recommends a shift
towards practical training, project-based learning, and industry-relevant
curricula to prepare students for jobs that require not just theoretical
knowledge but also real-world application of concepts. Innovit Technologies aligns
perfectly with this vision by offering AI/ML-focused courses that prioritize
hands-on experience, equipping students with the skills they need to thrive in
the competitive tech landscape.
Why B.Tech
Graduates Cannot Rely on Academic Education
The skill gap among B.Tech
graduates is more than just a result of inadequate curriculum. It’s rooted in
the inherent differences between academic learning and the specific skills
required by the tech industry. Traditional B.Tech/B.E programs often focus
heavily on theory, leaving little room for practical, application-based
learning. While students may excel in understanding complex algorithms or
theoretical concepts, they often struggle when faced with real-world problems
that require critical thinking, coding proficiency, and adaptability.
AI/ML, in particular, requires
specialized knowledge in data science, algorithm development, neural networks
and Generative AI with Problem Solving ability which can be applied in real
world scenarios—skills that are often not covered in the standard engineering
curriculum. As a result, graduates find themselves unprepared to meet the
demands of the job market, leading to frustration and a mismatch between the
skills taught in classrooms and the skills sought by employers.
Government
Policies Under IT and Skill Development
The Indian government has
acknowledged the need to address this skills gap through various policies such
as Digital India and Skill India. These initiatives are designed to improve the
technical skills of the workforce and provide students with the necessary tools
to thrive in a digital-first economy. However, while these policies focus on
basic digital skills and coding education, they fall short when it comes to
preparing students for specialized fields like AI/ML.
The government has also
partnered with private educational institutions to launch short-term courses
and skill development programs aimed at enhancing technical proficiency. Still,
there remains a critical need for more advanced, focused, and industry-aligned
training that can bridge the gap between basic knowledge and the cutting-edge
skills demanded by the rapidly evolving tech sector.
And This Is Where
Innovit Technologies Comes In: Solving the Problems
Innovit Technologies is
stepping in to address the pressing issue of the skills gap for B.Tech
students. The company’s AI/ML training programs are specifically designed to
fill the void left by traditional educational programs, offering students a
chance to gain industry-relevant skills in an efficient and cost-effective
manner.
Innovit Technologies’ approach
is different from conventional learning methods, as it focuses on project-based
learning that directly mimics real-world challenges faced by professionals in
the AI/ML field. This hands-on approach equips students with practical
knowledge and experience, giving them the confidence and expertise they need to
excel in interviews and in the workplace.
Anuj Tiwari, co-founder of
Innovit Technologies, explains, “Our goal is to bridge the gap between academic
education and industry expectations. We want to empower Engineering students
with cutting-edge skills in AI/ML, making them job-ready and confident in
facing industry challenges.”
A Progressive and
Aggressive Learning Framework
Innovit Technologies’ learning
framework is designed to take students from basic to advanced levels through a
two-phase process:
Phase 1: Progressive Learning
In this phase, students build a solid foundation in
AI/ML. The focus is on understanding the fundamentals of algorithms, coding
principles, and problem-solving strategies. Students learn not just the theory
but also the practical application of these concepts. The aim is to equip them
with the foundational knowledge required to succeed in more advanced topics.
Phase 2: Aggressive Learning
This phase intensifies the focus on real-world
applications. Students are trained to work on advanced projects, mock interviews,
and problem-solving techniques that simulate industry scenarios. This ensures
that they are not only well-versed in technical knowledge but also capable of
applying their skills in dynamic, real-time job settings. This phase lasts
until the students are placed in a reputed company.
Bridging Theory
and Practice
Innovit Technologies’ hallmark
is its emphasis on project-based learning. By incorporating projects that
simulate the kind of tasks students will face in the industry, Innovit ensures
that students gain practical experience. This hands-on approach helps learners
understand how to tackle real-world challenges, develop practical solutions,
and build strong portfolios that will impress employers.
“The project-based approach
helped me gain real-world experience,” says Konisetti Venkata Subbalakshmi, a
recent graduate who enrolled in Innovit Technologies’ program and now works as
an Associate Engineer in the Data Science Team at Cigniti, a Coforge company.
“I entered interviews with confidence, knowing I had solved actual industry
problems during my training which helped me land the job”
Personalized
Learning for Individual Success
Innovit Technologies recognizes
that every student is different, and therefore offers personalized mentoring to
cater to the unique needs of each learner. This ensures that students receive
individualized guidance, allowing them to learn at their own pace and master
AI/ML concepts effectively.
“I was initially apprehensive
about diving into AI due to my non-coding background,” says Sanjeev Dutt, who
transitioned into a Machine Learning Engineer role at Agnext Technologies. “The
mentorship at Innovit gave me the confidence to overcome my fears and build a
strong foundation in AI/ML.”
A Vision for the
Future
For Anuj Tiwari and Harish
Pawar, Innovit Technologies is not just about education—it’s about creating a
future-ready workforce. By offering specialized programs tailored to
Engineering students, Innovit ensures that India’s next generation of tech
professionals will be equipped to drive innovation and excellence in AI and ML.
“We want to empower students
with the skills and confidence to be leaders in the AI/ML space,” says Harish
Pawar, co-founder of Innovit Technologies.
As the demand for AI/ML
professionals continues to rise, Innovit Technologies is
ensuring that the next generation of Engineering graduates are prepared to meet
the challenges of tomorrow, lead innovation, and transform industries.