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B.Tech - Artificial Learning and Machine Learning
Engineering (B.E. / B.Tech)
Shortlisted by 4+ Students
Location: Dehradun
Duration: 4 YEAR
Regular / Offline
Average Fees: ₹ 8.82 Lakhs
Highlights B. Tech in Artificial Learning and Machine Learning is an undergraduate program in the cutting-edge technologies of AI & ML. The program provides advanced inputs like deep learning, computer vision, expert systems and neural networks. This specialization is designed to build expertise in intelligent machines, natural language processing and applications in cyber-physical systems. This program covers AI methodologies based in different fields, including Algorithms for intelligent systems, natural language parsing, knowledge engineering and predictive analytics control in order to present a unified treatment of machine learning problems and solutions.
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Bachelor in Technology in Artificial Learning and Machine Learning
B. Tech in Artificial Learning and Machine Learning is an undergraduate program in the cutting-edge technologies of AI & ML. The program provides advanced inputs like deep learning, computer vision, expert systems and neural networks. This specialization is designed to build expertise in intelligent machines, natural language processing and applications in cyber-physical systems.
This program covers AI methodologies based in different fields, including Algorithms for intelligent systems, natural language parsing, knowledge engineering and predictive analytics control in order to present a unified treatment of machine learning problems and solutions.
Advantage @DGU
Comprehensive Curriculum
The program covers a broad spectrum of AI methodologies, from intelligent system algorithms to natural language parsing, fostering expertise in diverse machine learning challenges and solutions across various domains.
Cutting-edge Technologies
Stay ahead in AI and ML with exposure to the latest advancements. The regularly updated curriculum provides immersion in cutting-edge technologies, ensuring relevance in the dynamic field of artificial intelligence.
Specialization in Emerging Fields
Develop expertise in deep learning and computer vision within the AI ML domain. Build skills to navigate complexities and apply advanced technologies effectively in real-world scenarios.
Integration of Cyber-Physical Systems
Explores the synergy of AI and cyber-physical systems and provides an understanding of how intelligent machines interact with the physical world. This unique integration equips to address challenges at the convergence of AI and the physical environment.
Unified Approach to Problem-solving
Emphasis on cohesive treatment of machine learning problems and solutions, to develop a holistic understanding of AI methodologies to innovate and devise solutions across diverse applications.
Latest Trends in Industry
The future scope for B. Tech graduates in Artificial Intelligence and Machine Learning is highly promising, with a rising demand for skilled professionals across diverse industries. Opportunities span roles such as machine learning engineer, AI researcher, and ethical AI specialist. The integration of AI with emerging technologies like edge computing and 5G further expands career prospects. Sectors such as healthcare, finance, and autonomous systems offer dynamic avenues, and entrepreneurship in AI startups is encouraged. Continuous learning and global collaboration are key, making this field an exciting and ever-evolving landscape for those shaping the future of technology.
Career Opportunities
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