Artificial intelligence is becoming an important career option for students from technical and non-technical backgrounds. Companies are looking for candidates who understand AI concepts, programming, data, and practical applications. Students preparing for placements should focus on building useful skills rather than depending only on academic knowledge. A clear preparation plan can help them become more confident during technical tests and interviews. Build a Strong AI Foundation Students should first understand the basic concepts of artificial intelligence and machine learning. Important topics include supervised learning, unsupervised learning, regression, classification, clustering, model evaluation, and data preparation. Python is also an important skill for AI roles. Students can practice programming fundamentals and then learn libraries such as NumPy, Pandas, and Scikit-learn. Regular coding practice can improve problem-solving ability and make technical assessments easier to ha...