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B.Tech in Artificial Intelligence

B.Tech in Artificial Intelligence

1. Brief About the Course

B.Tech in Artificial Intelligence is a forward-thinking course emphasizing the creation, development, and deployment of artificial intelligence systems. The class covers natural language processing, machine learning, deep learning, neural networks, and data analysis. It sets students up for tackling challenging practical issues across several fields including healthcare, finance, robotics, and autonomous systems with artificial intelligence tools.

2. Duration

  • 4 years (8 semesters).

3. Career Opportunities

  • AI Engineer.
  • Machine Learning Engineer.
  • Data Scientist/Analyst.
  • Natural Language Processing (NLP) Specialist.
  • AI Research Scientist.
  • Opportunities in tech companies, startups, research organizations, and financial institutions.

4. Skills Acquired

  • Mastery of Java, R, and Python programming languages.
  • Knowledge of deep learning frameworks and machine learning software (PyTorch, TensorFlow).
  • knowledge of big data solutions including Spark and Hadoop.
  • Problem-solving using algorithms and data structures.
  • Proficiency in ethical AI and responsible data handling.

5. Eligibility Criteria

  • 12th grade passed with Physics, Chemistry, and Mathematics (PCM).
  • A qualifying score in engineering entrance exams.

6. Course Fee

  • Public Institutions: ₹50,000 - ₹2,50,000 per year.
  • Private Institutions: ₹1,50,000 - ₹4,50,000 per year.

7. Mode of Study

  • Full-time (common).
  • Online certifications and hybrid learning options are available for professionals.

8. Top Institutes Offering

  • Indian Institute of Technology (IITs), various locations.
  • National Institute of Technology (NITs), various locations.
  • IIIT Hyderabad.
  • Vellore Institute of Technology (VIT), Vellore.
  • Chandigarh University.

9. Private Entrance Exams

  • BITS Pilani Admission Test (BITSAT).
  • VITEEE (VIT University).
  • SRMJEEE (SRM University).

10. Government Entrance Exams

  • JEE Main and JEE Advanced (IITs and NITs).
  • State-level entrance exams (e.g., WBJEE, KCET, and MHT CET).

11. Important Points

  • In fields like manufacturing, retail, schooling, and medical care, artificial intelligence is changing everything.
  • Learning qualifications in artificial intelligence, machine learning, and data analysis software can enhance employment possibilities.
  • Projects and internships in AI-driven domains add value to a student's profile.
  • Ethical AI, including biases in algorithms and data privacy, is an emerging area of focus.
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