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

As of my last update in April 2023, I don't have specific details about the BCA in Artificial Learning & Machine Learning (AL-ML) program at CGC Jhanjeri, including its tuition fees or other specific attributes. However, I can provide you with a generic HTML table format that you can fill with the actual data once you have it. Please replace the placeholders with the actual data.

Highlight	Details
Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	Rs [Insert Fees]
Mode of Study	Full Time
Institute Type	Private

Please replace [Insert Fees] with the actual tuition fees for the program. This table is designed to be simple and straightforward, providing a clear view of the program highlights in a single line of HTML.

As of my update in April 2023 I don't have direct access to the specific course syllabi of institutions including the BCA program in Artificial Learning & Machine Learning (AL ML) offered by CGC Jhanjeri. However I can provide you with an overview of the topics typically covered in a BCA program focused on Artificial Intelligence and Machine Learning. This should give you an understanding of what to expect. For the accurate and up, to date syllabus I recommend reaching out to CGC Jhanjeri directly or visiting their official website. **Introduction to Programming**; This course covers the basics of programming languages like Python or Java focusing on syntax, control structures, data types and fundamental algorithms. **Mathematics for Computing**; In this course you will learn linear algebra, calculus and discrete mathematics. These foundational concepts are essential for understanding algorithms in AI and ML. **Computer Fundamentals and Office Automation**; Gain an understanding of computer hardware basics, software fundamentals and used software tools. **Principles of Artificial Intelligence**; Explore the field of AI through an introduction to its history, applications and core principles. **English and Communication Skills**; Enhance your written and verbal communication skills, in technical contexts. In the year of the curriculum you will delve into various important topics. These include operating systems, processes, threads, memory management and file systems. Another key area is object oriented programming, which covers concepts related to programming using object oriented paradigms. Additionally you will explore statistics that're crucial for understanding algorithms driven by data in the field of artificial intelligence and machine learning. Moving on to the third year courses specifically machine learning takes stage. Here you will learn about unsupervised learning techniques, neural networks (including deep learning) reinforcement learning methods, as well as practical applications of these concepts. Artificial neural networks will also be covered extensively with a focus on their basics such as architectures and training using backpropagation. In addition to that natural language processing techniques including sentiment analysis and chatbots will be explored along with language models. Computer vision is another area where you'll study image processing techniques along with algorithms, for object detection and recognition. Lastly there's a capstone project which provides an opportunity for students to apply their knowledge in a world or simulated scenario. This often involves developing an application related to intelligence or machine learning. Please note that elective courses may vary depending on the institution.