Postgraduate Diploma in Artificial Intelligence and Machine Learning

Module 1: Regression and Classification Algorithms

• Linear regression

• Multiple Linear Regression

• Logistic Regression

Module 2: Support Vector Machines and Neural Networks

• Support vector machines

• Introduction to neural networks

• Deep learning basics

Module 3: Model Evaluation and Hyperparameter Tuning

• Cross validation

• Hyperparametre Tuning and Grid Search

Module 1: Clustering Techniques

• K-Means clustering

• Hierarchical clustering

• Density-based clustering

Module 2: Dimensionality Reduction and Feature Engineering

• Principal Component Analysis (PCA)

• Feature scaling and selection

Module 3: Advanced Topics in AI and ML

• Recommender Systems

• Natural Language Processing

• Time-Series Analysis

Module 1: Generative AI and Applications

• GANs

• Large Language Models and Neural Networks

• Examples of Large Language Models

Module 2: AI and ML in Industry Verticals

• Workplace Transformation

• Finance and Accounting

• Learning and Development

Module 3: AI in Cybersecurity

• Threat detection

• Anomaly detection

The capstone project will give participants an opportunity to apply the learnings from this program to a key industry or a real-world situation.

With this Postgraduate Diploma in Artificial Intelligence and Machine Learning program professionals who aim to integrate technological advancements into organizational goals. If you want to learn about emerging technologies and promote innovation, this is the right program for you. This program is for early to mid-career professionals as well as for mid to senior technical (analytics/data science/AI and ML) professionals.

The Postgraduate Diploma in Artificial Intelligence and Machine Learning program will help you learn Artificial Intelligence (AI) and machine learning (ML), equipping professionals with the expertise to leverage AI-driven solutions in business and technology. The curriculum is divided into four key pillars: Introduction to AI and ML, covering foundational concepts and industry applications; Supervised Learning Techniques, focusing on predictive modelling, regression, and classification; Unsupervised Learning and Advanced Topics, which delves into clustering, anomaly detection, and deep learning frameworks; and Generative AI and Applications, exploring AI-generated content, advanced neural networks, and real-world implementations. The program concludes with a Capstone Project in Month 12, where participants apply what they have learned to tackle industry-relevant challenges.

The Postgraduate Diploma in Artificial Intelligence and Machine Learning program by the Asian Institute of Management features a blend of live online sessions and recorded content, ensuring flexibility for participants to learn at their own pace while also engaging in real-time discussions.

The program fee varies based on the session and enrollment period. For the latest fee structure, please refer to contact the program advisor.

Yes, installment or flexible finance options are available to help participants manage the course fee in a flexible manner. Details about payment plans can be obtained by reaching out to the program advisor.

The Postgraduate Diploma in Artificial Intelligence and Machine Learning program typically spans 12 months with 5-7 hours weekly, combining live sessions and pre-recorded sessions for self-paced learning and 1-day of immersion and networking events at the AIM campus.

The Postgraduate Diploma in Artificial Intelligence and Machine Learning at the Asian Institute of Management is designed to equip professionals with industry-relevant expertise and a globally benchmarked curriculum. Led by distinguished faculty and industry experts, the program blends theoretical foundations with hands-on applications, ensuring participants gain both conceptual clarity and practical proficiency. It covers AI and machine learning, neural networks, and Generative AI, providing the latest insights and best practices to navigate the rapidly evolving technological landscape.

Upon successful completion of the program, participants will receive a verified digital certificate from AIM.

Upon successful completion of the programme, participants will be invited to attend a 1- Day Immersion and Networking Event at the end of the 12-month journey at the AIM campus. During this event, participants will have the opportunity to network with fellow global leaders and interact with programme faculty/directors.

This program is ideal for professionals integrating technology into business. It suits early to mid-career professionals seeking hands-on AI and ML experience and mid to senior technical experts aiming to apply AI and ML in their domains.

The program equips participants with essential skills in Python programming, supervised and unsupervised learning, reinforcement learning, Generative AI, statistics, calculus, deep learning, natural language processing (NLP), and model performance tracking. Additionally, learners will gain expertise in model deployment, evaluation, and validation, ensuring they are well-prepared to tackle real-world challenges in AI and machine learning.

We encourage learners to complete the course to fully understand the concepts and derive valuable learning outcomes. However, if you still choose to withdraw, you may request a full refund within 7 days of payment or 14 days after course commencement — whichever comes later. After this period, the course fee becomes non-refundable.

The program combines live online sessions, recorded content, and flexible learning formats, making it ideal for professionals balancing work and study.

No. The program is designed for both technical and non-technical professionals, with foundational modules that help beginners learn AI and machine learning concepts.

It focuses on industry-relevant skills, practical AI applications, and hands-on learning to help professionals move into AI and data-driven roles.

Yes. Learners work on case studies, practical assignments, and a capstone project focused on real-world AI and business challenges.

The program is valuable across industries adopting AI-driven decision-making, digital transformation, automation, analytics, and intelligent technologies.

Yes. Through hands-on projects, assignments, and a capstone project, participants gain practical experience that can strengthen their professional AI portfolio.