Shoolini B.Tech Lateral AI ML FAQs
Ques. What is the difference between AI and ML specialization and regular CSE?
Ans. AI and ML specialization focuses specifically on machine learning algorithms, neural networks, and AI applications, while regular CSE covers broader computer science topics. This specialization provides deeper expertise in AI/ML technologies.
Ques. Is AI and ML specialization in high demand?
Ans. Yes, AI and ML is one of the most sought-after specializations with companies actively recruiting graduates. The field offers excellent career growth, competitive salaries, and diverse opportunities across industries.
Ques. What are the career prospects after completing this program?
Ans. Graduates can work as Machine Learning Engineers, Data Scientists, AI Researchers, or AI Specialists in tech companies, startups, research institutions, and enterprises. The average salary ranges from 8-10 lakhs per annum for freshers.
Ques. Does Shoolini provide internship opportunities?
Ans. Yes, the university has tie-ups with leading tech companies for internships. Around 90% of students secure internships during their course, which provides valuable industry experience in AI/ML projects.
Ques. Are there any additional certifications offered?
Ans. Yes, students are encouraged to pursue industry certifications like Google Cloud Professional Data Engineer, AWS Machine Learning Specialty, and TensorFlow Developer Certificate. The university provides training support for these certifications.
Ques. What programming languages are taught?
Ans. The program primarily focuses on Python, which is the industry standard for AI and ML. Students also learn R, SQL, and JavaScript for web-based ML applications. Hands-on training is provided in popular ML frameworks like TensorFlow, PyTorch, and scikit-learn.
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