PG Diploma in Artificial Intelligence and Machine Learning

The PG Diploma in Artificial Intelligence & Machine Learning aims to enhance the skill set of students from diverse educational backgrounds. It achieves this by providing them with essential foundations in mathematics and programming. These foundational skills empower students to easily acquire knowledge in the fields of AI and ML.

The program’s curriculum covers both theoretical concepts and practical learning, aligning with the latest industry practices. Students delve into topics such as big data collection and cleaning, understanding how it can be harnessed in machine-learning algorithms. These algorithms, in turn, predict outcomes for decision-making and problem-solving.

Moreover, students gain a solid understanding of deep learning fundamentals through the use of neural networks. This knowledge equips them to construct algorithms capable of independent task execution, identifying the most effective approaches to achieve their goals.

Program Features

• 144 hours of live instructor-led training
• 3 industry-based projects, 6 assignments
• 24/7 support and LMS Access
• Hands-on experience with latest tools & applied projects
• Live engagement classes by seasoned academics and professionals
• Internship/Projects
• Flexible timing for working professionals
• EMI option

Eligibility

Students seeking admission to the course may have to fulfill the following criteria/requirements.

• Bachelor’s Degree from a recognized University
• Proficiency in English language

Prerequisites

“Candidates with a solid foundation in linear algebra, probability, and calculus will find it advantageous due to their relevance in modern machine learning algorithms that involve mathematics and programming.”

Program Outline

• Module 1 | Basics of Python
• Module 2 | Mathematics & Statistics for Machine Learning & Artificial Intelligence
• Module 3 | Python for Machine Learning
• Module 4 | Introduction to Machine Learning & Artificial Intelligence
• Module 5 | Specialisation Modules – Natural Language Processing (NLP) pathway
• Module 6 | Machine Learning for NLP
• Module 7 | Advanced Python for Computer Vision (CV)
• Module 8 | Machine Learning for Computer Vision (CV)
• Module 9 | Capstone Project – PG Level Project/Dissertation