PG Diploma in ML & AI Syllabus and Subjects

Roumik Roy

Post Graduate Diploma in Machine Learning and AI course subjects list is related to various studies that play a vital role to bring in development in any domain within an organization. Post Graduate in Diploma in Machine Learning and AI course syllabus has both core and elective subjects as part of the curriculum. The course will cover the study of knowledge of making machines self-learning without much effort from the user.

Semester Wise Post Graduate Diploma in Machine Learning and AI Syllabus

The Post Graduate Diploma in Machine Learning and AI syllabus covers everything from the philosophical foundation of the subject to doping information and learning. The course aims to ensure that the students get an in-depth understanding of the subject.

The PGD Machine Learning and AI course aim to make sure that the students get important knowledge about the study of origin and development of the subject as well. Semester-wise Machine Learning and AI subjects are given in the table below:

Post-Graduate Diploma in Machine Learning and AI Subjects

Some of the Post Graduate Diploma in Machine Learning and AI subjects may vary across institutes, but the core subjects largely remain consistent. The typical format for any specialization stays the same. Students can choose the topics to provide a duration of two semesters to make the Post Graduate Diploma in Machine Learning and AI syllabus very flexible. Here is the general subjects list:

• Fundamental of Artificial Intelligence
• Advance Programming using R and Python
• Mathematics and Statistics for Artificial Intelligence
• Machine Learning
• Data Analytics

Post Graduate Diploma in Machine Learning and AI Course Structure

The syllabus of the course includes both theory and practical papers and is curated for a year divided into two semesters. Post Graduate Diploma in Machine Learning and AI course is made in such a way that both classroom training and practicals are included in the course curriculum. The course structure is given below:

• II Semesters
• Literary Theory and Practice
• Core Subject
• Elective Subjects

Post Graduate Diploma in Machine Learning and AI Teaching Methodology and Techniques

The syllabus curriculum takes into consideration different teaching techniques. Classroom learning includes practical sessions for students who are passionate about the subject. Here are the teaching methodology and strategies:

• Assignments
• Following Course Module Books
• Case studies/ Research Work
• Internships

Post Graduate Diploma in Machine Learning and AI Projects

Post Graduate in Diploma in Machine Learning and AI projects topics are given to students to understand the concepts and help students in getting hands-on experience about the course. The projects have to be completed and submitted by the end of the 2nd semester. Some popular subjects are:

• Jaguar, Land Rover to make their vehicles more secure
• Contributing to the development of the Trusted Platform Module which makes many of our computers capable of secure cryptographic operations
• Deploying autonomous, intelligent robots in security and health support facilities
• Developing a revolutionary, award-winning method for diagnosing skin cancer

Post Graduate Diploma in Machine Learning and AI Reference Books

Post Graduate Diploma in Machine Learning and AI books are available both online and offline by many authors and publications. These books are made to gain an in-depth understanding of concepts. Books on this course differ according to specializations. Some of the reference books for Post Graduate Diploma in Machine Learning and AI subjects are: