Artificial Intelligence (AI) and Machine Learning (ML) technologies are transforming industries through the enablement of intelligent systems, automation, and data-driven decision-making. These technologies utilize algorithms, computational power, and extensive data to construct predictive models and intelligent applications.
The B.Tech program in Artificial Intelligence and Machine Learning aims to provide students with the expertise to develop intelligent systems, algorithms, and applications using state-of-the-art AI and ML techniques. In today's rapidly changing tech environment, AI and ML have become essential for addressing intricate challenges and fostering innovation across various sectors.
ECE Dept. has well-equipped laboratories. The faculty members of the department are experts in diversified fields. They are equipped with good research potential and are committed to the well-being of students. Students are encouraged to work on real-time projects and actively participate in technical conferences and workshops. The ECE program at EASA continually focuses on creating model students who can succeed in their chosen career path, contribute to their professional sector, and serve as role models for the community. Electronics and Communication Engineering has a good and consistent placement record with students placed in many industry-leading Core and IT organizations.
Through this course, students at EASA College of Engineering and Technology will gain proficiency in areas such as data analysis, pattern recognition, natural language processing, and deep learning. The curriculum emphasizes:
Constructing AI and ML models for predictive analytics and decision support.
Utilizing big data technologies for data preprocessing and model training.
Implementing algorithms for tasks like image recognition, speech processing, and anomaly detection.
Understanding ethical and responsible AI practices to ensure fairness and transparency in AI systems.
This program equips students to become adept AI and ML professionals capable of designing intelligent solutions, optimizing processes, and making data-driven decisions in diverse industries.
TStudents gain exposure to the following core subjects during the course:
