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GSB Indore BCA in Artificial Learning & Machine Learning (AL-ML)

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

location Indore ( Madhya Pradesh )
location Estd In: 2010
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BCA in Artificial Learning & Machine Learning (AL-ML) at GSB Indore - Course, Fees, Admission, Seats, Syllabus
location
Indore ( Madhya Pradesh )
location
Estd In: 2010
Last Updated on February 20, 2024 6:35 PM
Welcome to the Bachelor of Computer Applications (BCA) program in Artificial Learning & Machine Learning (AL ML) at the Graduate School of Business. Our program is designed to give students the skills to succeed in the dynamic fields of artificial intelligence and machine learning. We have carefully developed a curriculum that combines knowledge with practical applications ensuring that graduates are not only familiar with the latest technologies but also capable of solving real world problems. The faculty members at our school are respected professionals and academics who bring their extensive experience and insights into the classroom. Admission into our BCA in AL ML program is highly competitive as we seek out students who possess computational thinking skills and a passion for innovation. Through a selection process involving aptitude tests, personal interviews and a review of academic achievements we ensure that only the most promising candidates are accepted. Graduates from our program have opportunities for placement with many securing positions, at top tech companies, innovative startups and renowned research institutions. Our dedicated career services team works diligently to connect students with employers and offers guidance and support throughout the job search process. Join us at the Graduate School of Business for an exciting adventure, into the ever evolving world of technology.
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GSB Indore BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

FeatureDetail
Course Duration2 Years
Course LevelGraduate
Course Tuition Fees$30,000
Mode of StudyOnline/On-campus
Institute TypeBusiness School

GSB Indore BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

SemesterSubjects
1st SemesterIntroduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English for Communication, Environmental Studies
2nd SemesterData Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Principles of Machine Learning, Digital Electronics and Logic Design
3rd SemesterOperating Systems, Computer Networks, Advanced Data Structures, Statistical Methods for Machine Learning, Elective I (Deep Learning/ Natural Language Processing)
4th SemesterSoftware Engineering, Cloud Computing, Big Data Analytics, Reinforcement Learning, Elective II (Robotics/ Computer Vision)
5th SemesterEntrepreneurship and Project Management, Advanced Machine Learning, Elective III (Bioinformatics/ Quantum Computing), Project Work I, Internship I
6th SemesterProfessional Ethics and Human Values, Elective IV (Cyber Security/ Augmented Reality), Project Work II, Internship II

GSB Indore BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

As of my update in April 2023 different educational institutions may have varying course curricula. However if you were to pursue a Bachelor of Computer Applications (BCA) program with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) you can expect to cover a range of foundational and advanced topics, in these fields. Here is a general overview of the subjects that such a program might include; **An Overview of Artificial Intelligence**; This section provides an introduction to the history, applications and ethical aspects of AI. **Foundations of Machine Learning**; Here we will explore the basics of machine learning including supervised and unsupervised learning techniques. We'll also cover regression, classification, clustering and dimensionality reduction methods. **Understanding Deep Learning**; In this part we'll delve into learning concepts such as neural networks. We'll discuss neural networks (CNNs) recurrent neural networks (RNNs) and deep reinforcement learning. **Exploring Natural Language Processing (NLP)**; Lastly we will examine the field of natural language processing (NLP) and its significance, in AI research and applications. The course covers topics related to AI and ML including text processing, sentiment analysis, chatbots and language translation. We also delve into computer vision, which involves tasks like image processing, object detection, facial recognition and even generating images using GANs (Generative Adversarial Networks). Furthermore we explore applied AI and ML subjects such as robotics fundamentals covering robot motion planning and control. We also examine how AI and ML are employed in business domains like customer relationship management (CRM) financial modeling and market analysis. In addition to that we engage in discussions about the implications of AI technology including bias in machine learning models as well as the importance of AI governance. In terms of skills and tools covered in this course we focus on programming languages like Python and R for AI and ML development. We introduce students to data technologies such as Hadoop and Spark for handling large scale datasets. Moreover we explore cloud computing platforms like AWS, Azure or Google Cloud for deploying AI and ML models. Lastly we provide insights into project management methodologies to AI projects including Agile methodologies along with DevOps practices tailored for AI development. To conclude the course experience effectively while bridging theory with practice effectively through a capstone project where students can apply their acquired knowledge in a real world scenario or simulated environment. Additionally there is an opportunity, for internship experience where students can further consolidate their skills by working on hands on projects in industries.

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