Humans are constantly ahead of robots, which is why we're attempting to offer machines human-level intelligence. Artificial intelligence, often known as machine intelligence, gives robots the ability to make judgments and learn from examples. Artificial intelligence provides decision-making power and perception of the surroundings, even though autonomous robots have been for a long time. AI is now used in practically every industry, ranging from banking to healthcare. Many sectors can now be transformed by artificial intelligence and machine learning—the B. Tech. The Electronics & Communication Engineering (Artificial Intelligence Specialization) program is specifically developed to provide an in-depth understanding of intelligence and intelligent systems, which can be artificial or organic. This specialized course aims to give students a consistent, long-term knowledge of cutting-edge issues, as well as current research findings. The system is structured so that graduates with this level of understanding will have no trouble finding work in both academia and industry. Students are allowed to conduct large-scale research by providing them with information on active research initiatives, as it is known that outstanding research has a positive impact on educational quality. Students will be equipped to apply fundamental and advanced intelligent approaches creatively in all main areas of engineering.
Students will be accredited in Electronics & Communication Engineering (Artificial Engineering) after completing the course, which satisfies the needs of Industry 4.0, both in theory and in the lab. Courses on Artificial Intelligence, Machine Learning, and the Internet of Things and a thorough examination of the electronics gear that underpins these technologies. The course focuses on the most cutting-edge Artificial Intelligence and Internet of Things technology. Open source programming, hardware (Raspberry Pi and Arduino), IoT Design, Sensors, Database Fundamentals, Machine Learning Fundamentals Deep Learning (Tensor Flow, Keras, Caffe), ANN, CNN, High-Performance computing, Intel Neural Compute Stick, Intel Parallel Studio will all be covered.
To enroll in Electronics & Communication Engineering (Artificial Engineering), students must pass the 10+2 examination with at least 50 percent aggregate marks in five disciplines, with eligibility determined by the percentage of aggregate marks achieved in class 12. Admission is also based on their performance on the national entrance exam or the entrance exam administered by the college of their choice. Electrical and computer engineers contribute to the design, development, testing, and production procedures for new generations of gadgets and equipment, putting them at the forefront of technological innovation. As these experts strive for innovation, their goals may collide with artificial intelligence's constantly expanding uses. Machine learning and natural language processing have impacted practically every business and field of scientific research, including engineering. Professionals in machine learning and electrical engineering use AI to create and optimize systems and give new data inputs for AI to analyze. As a result, there will be a great demand for such trained graduates in the upcoming years.
