BCA in Artificial Learning & Machine Learning (AL-ML) at LCET Ludhiana - Course, Fees, Admission, Seats, Syllabus

In my recent update in April 2023 I don't have access to specific course details or syllabi for the BCA program in Artificial Learning & Machine Learning (AL ML) at Ludhiana College of Engineering and Technology (LCET). However I can offer you an overview of the key topics typically covered in BCA programs that focus on Artificial Intelligence (AI) and Machine Learning (ML) at different institutions. These topics are essential for building a foundation and understanding in the fields of AI and ML. 1. Introduction to Artificial Intelligence; Exploring the history and development of AI Understanding the basics of AI Applications of AI across industries Ethical considerations in the realm of AI 2. Programming for AI and ML; Delving into Python programming commonly used in AI/ML Utilizing libraries such as NumPy, Pandas, Matplotlib and Scikit learn Working with TensorFlow and PyTorch for deep learning applications 3. Mathematics for AI and ML; Studying concepts like linear algebra, calculus, probability statistics Applying optimization techniques in problem solving 4. Fundamentals of Machine Learning; Learning about learning methods like regression and classification Exploring unsupervised learning techniques such, as clustering and dimensionality reduction Understanding reinforcement learning principles and evaluating metrics for assessing ML models. 5. In the field of Deep Learning topics include networks, convolutional neural networks (CNNs) recurrent neural networks (RNNs) and generative adversarial networks (GANs). Moving on to Natural Language Processing (NLP) areas of focus involve text processing and analysis sentiment analysis, language models well as chatbots and conversational AI. Computer Vision encompasses image processing techniques, object detection and recognition face recognition along with the applications of computer vision across industries. Data Science and Big Data Analytics cover data preprocessing and cleaning exploratory data analysis, big data technologies such as Hadoop and Spark well as data visualization techniques. AI and ML Project Management delves into methodologies for AI/ML projects, data governance and ethics model deployment and maintenance along with performance monitoring and evaluation. Lastly Emerging Trends in AI and ML explore topics like quantum computing, AI in IoT (Internet of Things) vehicles and leveraging AI for social good. It is worth mentioning the significance of these subjects, in the curriculum.