Artificial Intelligence

Candidates can check how Machine Learning helps Artificial Intelligence in simulating human behaviour in machines with the help of the table below.Artificial IntelligenceMachine learningThe objective of Artificial Intelligence is to make a smart computer system like humans to solve complex problems.Machine Learning helps Artificial Intelligence in achieving its objectives by letting machines learn from data.Machine learning and deep learning are the two subsets of Artificial Intelligence.Deep learning is the subset of machine learning.Artificial Intelligence systems can perform various complex tasks.Machine Learning is used for machines to perform the specific tasks for which they are trained.Artificial Intelligence is used to maximise the chances of success for a machine in any task.Machine learning is used to ensure accuracy and following patterns as per the task.Artificial Intelligence includes learning, reasoning, and self-correction.As a subset of Artificial Intelligence, Machine Learning includes learning and self-correction only that too for the new data.Artificial Intelligence completely deals with Structured, semi-structured, and unstructured data.Machine learning deals with Structured and semi-structured data.Siri, Alexa, intelligent humanoid robot, etc. are the most popular applications of Artificial Intelligence.Online recommendation system, Google search algorithms, Facebook auto friend tagging suggestions, etc. are the most popular application of Machine Learning.

If you want to know about the quality of teachers at Anurag University then here it is the faculty for B.Tech Artificial Intelligence and Machine Learning at Anurag University is highly competent and dedicated. They are well qualified to teach specialised and elective courses such as Explainable AI, Generative Adversarial Networks, and Multimodal learning. The university's faculty is made up of experienced academics and subject matter specialists who ensure that students receive a high-quality education and supervision. Overall, the staff of Anurag University's Department of Artificial Intelligence and Machine Learning is dedicated to educating students with the information and abilities they need to succeed in this quickly changing field. 

Your choice is very good. B.Tech artificial intelligence and machine learning is among the most sought-after courses in India which is rapidly increasing day after day. Multiple prominent reputed companies give tons of job opportunities for professionals who have AI skill to design, develop and implement theoretical concepts into practical ones. Artificial intelligence focuses on a niche area of engineering and prepare students for innovation,   robotics and autonomous vehicles. In 2024, AI industry offers some of the most lucrative career opportunities in the technology space. AI jobs are generally high-paying especially at top tech companies. AI engineer salary in India with less than 1 year of experience to 6 years ranges from Rs. 3 Lacs to Rs. 22 Lacs with an average annual salary of Rs. 10 Lacs based on the latest salaries. NITs, IITs, IIITs and a plenty of tier 2 or 3  colleges are offering this course. So just go for it. 

Suresh Gyan Vihar University's B.Tech programme in Artificial Intelligence and Machine Learning seems to have a decent placement record, with a significant percentage of students getting placed in reputed companiesThe university is known for its innovative approach to teaching, emphasizing project-based, lab-based, and case-study-based learning, which prepares students for the ever-changing job market in AI-related industries. However, specific placement statistics or details about the recruitment process are not provided in the search results. Therefore, it is recommended to contact the university directly for more detailed information about their placement record and recruitment process for the B.Tech programme in Artificial Intelligence and Machine Learning.

Suresh Gyan Vihar University offers a B.Tech programme in Artificial Intelligence and Machine Learning, which is designed to equip students with modern practices and a solid foundation to tackle engineering problems in various areas like machine learning and computational intelligence. The course focuses on AI and ML and prepares students for the ever-changing job market, providing hands-on experience in various aspects of AI. The innovative approach of the programme emphasizes project-based, lab-based, and case-study-based learning, making it a good choice for those interested in pursuing a career in AI-related industries. The university has a significant percentage of students getting placed in reputed companies, indicating a decent placement record.