B.Tech in Computer Engineering With AI & ML
Eligibility Criteria:
- candidates should have completed 10+2 with Physics, Chemistry, and Mathematics.
Subject
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Why Choose this Course?
- Emerging Technologies: AI and ML are among the most rapidly evolving fields with applications in various industries.
- Innovation: Learn to apply AI and ML techniques to solve real-world problems and contribute to technological advancements.
- High Demand: Professionals with expertise in both computer engineering and AI/ML are in high demand, particularly in areas like data science, automation, and intelligent systems.
What will be learned in this course?
- Computer Engineering Fundamentals: Includes hardware, software, networking, and systems.
- Programming Languages: Proficiency in languages such as Python, Java, or C++.
- Data Structures and Algorithms: Foundation for AI and ML applications.
- Artificial Intelligence: Understanding and implementing AI techniques.
- Machine Learning: Techniques for building predictive models and pattern recognition.
- Deep Learning: Neural networks and advanced ML algorithms.
- Natural Language Processing (NLP): Processing and understanding human language.
- Computer Vision: Teaching machines to interpret and understand visual information.
4 to 8 LPA
Salary Package offered to FRESHERS in 2023
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Note: The information provided is based on various reliable sources to ensure accuracy and credibility.
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