Loading...
10000+

Students Trained

95%

Got Placed

100+

Hiring Partners

50+

Batches every Month

4.8/5

Rating

Popular Courses

RS.39999

4.9 (123)
PG Diploma in Advanced-Data Analytics

RS.39999

4.9 (123)
PG Diploma in Data Science

RS.39999

4.9 (123)
PG Diploma in GENERATIVE-AI

Learner Benifits

Tailored Learning Experience

Our institute offers individualized lessons specifically tailored to each learner’s needs. We enable every student to realize his or her maximum potential as well as achieve their career objectives through customized curricula, flexible educational alternatives and personalized assistance.

Industry-Embedded Training

As part of our curriculum, we work with field professionals so that it remains current, practical and reflective of the trends in the job market. Students get hands-on experience applying the latest tools and techniques, which prepares them to succeed in their chosen fields.

Extensive Placement Support

After graduation, our students can rely on comprehensive placement support services that allow them to enter meaningful employment. From resume writing workshops to interview coaching sessions, our career services staff is dedicated guiding students towards finding a job.

Expert Mentorship

Students have opportunities to interact with experienced professionals who provide invaluable advice about what they are learning in college. These mentor relationships enhance learning while acting as conduits for networking and advancement in careers.

Large Alumni Network

We are proud of owning one of the biggest alumni networks in our region comprising successful professionals in other industries also. As a student you will get access to this network providing you with valuable connections and potential career pathways after training

FAQ

Data science is a multidisciplinary field that involves using techniques from statistics, machine learning, computer science, and domain expertise to extract insights and knowledge from data.
AI is a broad field of computer science that focuses on creating systems and machines that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and making decisions.
A strong foundation in mathematics, particularly statistics and linear algebra, along with programming skills (usually in languages like Python or R), is essential. Knowledge of computer science fundamentals is also valuable.
Machine learning is a subset of AI that encompasses various techniques for making predictions and decisions from data. Deep learning is a subfield of machine learning that focuses on using neural networks, particularly deep neural networks, for tasks like image and speech recognition.
The demand for data scientists and AI professionals is high across various industries, including finance, healthcare, tech, and more. Career prospects include roles such as data analyst, machine learning engineer, data engineer, AI researcher, and data scientist.
Common tools include Python/R, libraries like TensorFlow and scikit-learn, Jupyter notebooks, and data visualization tools like Matplotlib and Tableau. Cloud platforms like AWS, Azure, and Google Cloud are also important.
You can work on personal projects, participate in online competitions (e.g., Kaggle), internships, and contribute to open-source projects. Online courses and bootcamps also offer hands-on experience.
Showcase your projects, including problem statements, data preprocessing, modeling techniques, and results. Explain your approach and the impact of your work. A well-documented portfolio is essential for job applications.
While advanced degrees can be beneficial, many roles in data science and AI can be entered with a bachelor's degree. Continuous learning, certifications, and practical experience are also highly valued.