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B.Tech - Artificial Intelligence and Machine Learning

B.Tech in Artificial Intelligence and Machine Learning provides students with a robust foundation in AI techniques, algorithms, and applications, preparing them for innovative roles in technology.

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3000+ students
  • Last updated 22/10/2024
  • Available English
  • Engineering
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What you'll learn

The B.Tech in Artificial Intelligence and Machine Learning program is designed to equip students with essential skills and knowledge in the rapidly evolving fields of AI and machine learning. This four-year undergraduate program emphasizes both theoretical principles and practical applications, enabling students to develop intelligent systems that can learn and adapt. The curriculum includes coursework on data analysis, neural networks, natural language processing, and computer vision, along with hands-on projects and industry internships to prepare graduates for impactful careers in technology.

Key Highlights of the Program:

  • Comprehensive curriculum covering core AI and machine learning concepts.
  • Hands-on experience through labs, projects, and internships.
  • Exposure to industry-standard tools and platforms for AI development.
  • Opportunities for research and participation in AI competitions.
  • Collaboration with industry leaders for real-world applications.

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Course Content

The curriculum is structured over eight semesters, integrating core subjects with practical applications and elective specializations.

Core Subjects:

  • Introduction to Artificial Intelligence
  • Machine Learning Algorithms
  • Data Structures and Algorithms
  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Data Mining and Data Warehousing
  • Reinforcement Learning
  • Statistical Learning
  • AI Ethics and Social Impact

Laboratory and Practical Sessions:

  • AI and Machine Learning Labs
  • Project Work in Data Analysis and Model Development
  • Real-time Applications using AI Tools
  • Capstone Projects focusing on innovative AI solutions

Electives and Specializations:

  • Robotics and Intelligent Systems
  • AI in Healthcare
  • Big Data Analytics
  • Cloud Computing for AI
  • Business Intelligence and Analytics

Requirements

    To enroll in the B.Tech in Artificial Intelligence and Machine Learning program, candidates must meet the following requirements:

    1. Eligibility Criteria:
      • Completion of 10+2 (or equivalent) education with Physics, Mathematics, and Chemistry/Computer Science as mandatory subjects.
      • A minimum percentage requirement as specified by the institution, usually around 50-60%.
    2. Entrance Exams:
      • Candidates may need to clear engineering entrance exams such as JEE Main, state-level entrance exams, or university-specific tests.
    3. Skills Required:
      • Strong analytical and mathematical skills.
      • Interest in programming and data science.

    Problem-solving skills and a passion for innovation.

B.Tech - Artificial Intelligence and Machine Learning: Careers and Opportunities

Career Options

      Graduates of the B.Tech in Artificial Intelligence and Machine Learning program can pursue a wide array of career opportunities across various sectors:

      Job Roles:

      • AI Engineer
      • Machine Learning Engineer
      • Data Scientist
      • Deep Learning Researcher
      • Natural Language Processing Engineer
      • Computer Vision Engineer
      • Robotics Engineer
      • Business Analyst
      • Research Scientist in AI

      Industries:

      • Information Technology (IT) and Software Development
      • Financial Services and Banking
      • Healthcare and Pharmaceuticals
      • Automotive and Manufacturing
      • E-commerce and Retail
      • Telecommunications
      • Government and Defense
      • Research and Academia

      Higher Education & Certifications:

      • Pursue an M.Tech, MS, or Ph.D. in AI or related fields for further specialization.
      • Obtain certifications in AI, machine learning, and data science from reputable organizations and platforms.

      With a solid foundation in AI and machine learning, graduates are well-equipped to tackle complex challenges and drive innovation in various industries.

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