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Post Graduate Program AI & Machine Learning

Post Graduate Program AI & Machine Learning

This intensive 12-month program, designed for graduates of any discipline, provides a robust foundation in AI and ML concepts, equ...

Professional Certificate in Business Excellence using Artificial Intelligence

Professional Certificate in Business Excellence using Artificial Intelligence

Professional Certificate in Business Excellence with artificial intelligence (AI) is a concept that combines the principles of bus...

Advanced Certificate in AI

Advanced Certificate in AI

In advanced certificate program in AI typically aims to provide participants with a deep understanding of advanced concepts and pr...

PGP in Machine Learning

PGP in Machine Learning

Machine learning skills are highly sought after across industries, leading to diverse career opportunities and potential for upwar...

Professional Certificate in Big Data Analytics - AI/ML

Professional Certificate in Big Data Analytics - AI/ML

Machine learning skills are highly sought after across industries, leading to diverse career opportunities and potential for upwar...

Professional Certificate in Introduction to Big Data Analytics - AI/ML

Professional Certificate in Introduction to Big Data Analytics - AI/ML

Machine learning skills are highly sought after across industries, leading to diverse career opportunities and potential for upwar...


Frequently Asked Questions

Q1. Why is the field of Artificial Intelligence (AI) and Machine Learning (ML) a smart career choice ?

  • Flexibility: Online courses allow you to learn at your own pace and fit your studies around your busy work schedule. You can access course materials anytime, anywhere.
  • No Relocation Required: Unlike traditional classroom-based courses, online learning eliminates the need to relocate or commute to a physical campus. This convenience is especially beneficial for working adults.
  • Career Advancement: Online programs offer credentials such as certificates, professional certifications, or even full degrees. These can help you make significant career changes or advance into managerial roles.
  • Self-Paced Learning: With online courses, you control the pace. Whether you’re a fast learner or need more time, online education adapts to your needs.
  • Networking Opportunities: Virtual classrooms, discussion forums, and collaborative projects allow you to connect with professionals worldwide. Networking is crucial for career growth.
  • Cost-Effectiveness: Online courses often cost less than traditional programs. You save on commuting, accommodation, and other expenses.
  • Enhanced Work-Life Balance: Balancing work, family, and education becomes easier with online learning. You can study when it suits you.

Q2. Why is an online course the best option for working professionals now ?

  • Flexibility: Online courses allow you to learn at your own pace and fit your studies around your busy work schedule. You can access course materials anytime, anywhere.
  • No Relocation Required: Unlike traditional classroom-based courses, online learning eliminates the need to relocate or commute to a physical campus. This convenience is especially beneficial for working adults.
  • Career Advancement: Online programs offer credentials such as certificates, professional certifications, or even full degrees. These can help you make significant career changes or advance into managerial roles.
  • Self-Paced Learning: With online courses, you control the pace. Whether you’re a fast learner or need more time, online education adapts to your needs.
  • Networking Opportunities: Virtual classrooms, discussion forums, and collaborative projects allow you to connect with professionals worldwide. Networking is crucial for career growth.
  • Cost-Effectiveness: Online courses often cost less than traditional programs. You save on commuting, accommodation, and other expenses.
  • Enhanced Work-Life Balance: Balancing work, family, and education becomes easier with online learning. You can study when it suits you

Q3. Why is a career in AI and ML lucrative?

  • High Demand: AI and ML professionals are in high demand across industries. Companies seek experts to develop intelligent systems, leading to attractive job opportunities.
  • Salary: The average base salary for a machine learning engineer in India is around ₹700,000 per annum, making it one of the highest-paying roles.
  • Growth Potential: The field is expanding rapidly, with projected growth in the coming years. As AI applications multiply, professionals can contribute significantly.
  • Diverse Roles: AI/ML careers offer roles like Machine Learning Engineer, Data Scientist, NLP Scientist, and Business Intelligence Developer. Each role has unique challenges and rewards.
  • Continuous Learning: AI evolves constantly, providing intellectually stimulating work. If you enjoy cutting-edge technology, this field offers exciting opportunities.

Q4. What could an aspirant foresee as a career in AI / ML ?

  • To start with, these roles require a solid background in computer science, mathematics, and statistics, as well as proficiency in programming languages such as Python and R. Hands-on experience in data handling, preprocessing, and familiarity with machine learning frameworks are essential.
  • Formal education, like university programs or industry certifications, can offer the necessary knowledge and qualifications. Moreover, gaining practical exposure through projects, competitions, and contributing to open-source initiatives is crucial.
  • Staying updated with the latest advancements, continuous learning, and staying informed about the evolving AI landscape are key to thriving in this field. With dedication, ongoing skill enhancement, and suitable opportunities, adept AI and ML professionals can carve out a successful and fulfilling career path.

Q5. What skills do you expect to learn ifrom an AI /ML course ?

  • The skills that you may learn in an AI course include:
    Data preparation and feature engineering
    Model evaluation and validation
    Natural Language Processing (NLP)Deep learning
  • Computer vision
    AI ethics and responsible AI
    Practical application and project work
    The skills you can learn in an ML course include:
  • Machine learning fundamentals
    Supervised learning
    Unsupervised learning
    Regression analysis
    Classification
    Model evaluation and validation
    Practical application and project work.
    Model tuning and optimization
    By gaining these skills, professionals can significantly improve their career prospects and enhance their ability to create impactful AI and ML models.

Q6. What do you need to launch a career in AI / ML ?

  • A Bachelor’s degree with mathematics, computer science, or a related field will provide a strong foundation for a career in AI and ML. A basic understanding of mathematics, physics and a popular coding languages can build your skills further.
  • As AI and ML continue to change and develop, so will the knowledge around it. To keep up with the transformations in the industry, NIRA offers an array of courses that will suit your career requirements and upgrade your knowledge with the latest advancements in the industry. NIRA online courses are created to ensure continuity in your knowledge so that you do not fall behind in a rapidly changing industry.

Q7. What are the job roles of AI aspirants ?

  • Individuals aspiring to work in AI and ML have numerous job opportunities available to them that revolve around creating and implementing artificial intelligence and machine learning algorithms. These positions encompass roles like data scientist, AI developer, machine learning engineer, AI researcher, and business intelligence developer. Moreover, data from job search platforms such as Indeed and Turing indicate a high demand for machine learning engineers and AI developers across diverse sectors such as finance, healthcare, education, and beyond. Additionally, professionals can explore roles in specialized areas like Natural Language Processing (NLP), computer vision, and robotics.

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