school
category
Engineering
B.Tech Computer Science with Artificial Intelligence and Machine Learning (AI/ML)
Explore eligibility, admission details, career opportunities and colleges offering this course.
schedule
Duration
4 Years
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Eligibility
Requirements for admission to this course
10+2 with PCM with 45% marks and 45% in PCM.
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Admission Process
Steps to apply for this course
Merit Based
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Career Opportunities
Career paths after completing this course
B.Tech CSE (Artificial Intelligence & Machine Learning) – Career Opportunities
AI / Machine Learning Engineer: Develop AI models, intelligent systems, and machine learning applications.
Data Scientist: Analyze data and build predictive models using AI and statistical techniques.
Software Developer: Design and develop software applications using programming and AI technologies.
Deep Learning Engineer: Work on neural networks, computer vision, and advanced AI solutions.
Data Analyst: Analyze datasets, create reports, and support business decisions.
NLP Engineer: Develop AI applications for language processing, chatbots, and voice technologies.
Computer Vision Engineer: Build image recognition and visual intelligence systems.
Robotics / Automation Engineer: Apply AI and ML to robotics, industrial automation, and smart systems.
AI Research Associate: Work on AI research, model development, and emerging technologies.
Cloud AI Engineer: Deploy and manage AI applications using cloud platforms.
Career Opportunities: IT & Software | AI & ML Companies | Data Science | Robotics & Automation | Healthcare Technology | Fintech | Autonomous Systems | Research Institutes | Entrepreneurship.
AI / Machine Learning Engineer: Develop AI models, intelligent systems, and machine learning applications.
Data Scientist: Analyze data and build predictive models using AI and statistical techniques.
Software Developer: Design and develop software applications using programming and AI technologies.
Deep Learning Engineer: Work on neural networks, computer vision, and advanced AI solutions.
Data Analyst: Analyze datasets, create reports, and support business decisions.
NLP Engineer: Develop AI applications for language processing, chatbots, and voice technologies.
Computer Vision Engineer: Build image recognition and visual intelligence systems.
Robotics / Automation Engineer: Apply AI and ML to robotics, industrial automation, and smart systems.
AI Research Associate: Work on AI research, model development, and emerging technologies.
Cloud AI Engineer: Deploy and manage AI applications using cloud platforms.
Career Opportunities: IT & Software | AI & ML Companies | Data Science | Robotics & Automation | Healthcare Technology | Fintech | Autonomous Systems | Research Institutes | Entrepreneurship.