ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
COMPUTER ENGINEERING
Computer engineering is a dynamic and multidisciplinary field at the intersection of computer science and electrical engineering. It focuses on the design, development, and maintenance of computer systems and networks, encompassing both hardware and software aspects.
ELECTRONICS AND COMMUNICATION ENGINEERING
ECE department is one of the most sought after branches by Students as it offers a wide range of job opportunities. Labaratories are where one can truly understand the essence of the subject and put theory into action.
DIPLOMA AIML INTRODUCTION:
“Unlocking the Power of AI with the Intelligence of Women.”
Diploma in Artificial Intelligence and Machine Learning (AIML)
Priyadarshini Institute of Technology and Science for Women (PITW), Tenali
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the future of technology and industries worldwide. To meet the rising demand for skilled professionals, PITW has introduced a Diploma in Artificial Intelligence and Machine Learning (AIML) from the academic year 2024–2025 with an intake of 60 students.
This 3-year diploma program is designed to provide a solid foundation in AI and ML technologies, helping students become industry-ready with hands-on skills and a deep understanding of modern computing concepts. The curriculum is thoughtfully designed to cover:
- Introduction to Artificial Intelligence – Basic AI principles, intelligent agents, and decision-making.
- Machine Learning – Supervised and unsupervised learning, algorithms, and applications.
- Natural Language Processing (NLP) – Language understanding, sentiment analysis, and chatbot development.
- Computer Vision – Image processing, face detection, and real-time object tracking.
- Deep Learning – Neural networks including CNNs and RNNs, and their real-world uses.
- Big Data Analytics, IoT, Blockchain, and Drone Technologies to provide a broader skill set and career opportunities.