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Postgraduate Diploma in AI & Machine Learning

The Postgraduate Diploma in Artificial Intelligence and Machine Learning program delivers comprehensive training in AI and ML technologies, combining theoretical knowledge with practical applications. Students gain expertise in Python programming, supervised and unsupervised learning, reinforcement learning, and generative AI. The program features live interactive sessions with global industry experts, hands-on projects, and a capstone module. Upon completion, students earn 20 credits towards an AIM Postgraduate Diploma in Management.

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  • Course Start Date:

    23rd Dec, 2025

  • Application Deadline:

    21st Nov, 2025

  • Duration:

    12 Months

2,55,991

Overview

The Postgraduate Diploma in Artificial Intelligence and Machine Learning is a comprehensive program designed to equip professionals with advanced skills in AI and ML technologies. This 12-month program combines theoretical foundations with practical applications, featuring live interactive sessions with global industry experts and hands-on projects. Students gain expertise in Python programming, machine learning algorithms, deep learning, and generative AI while earning 20 credits towards an AIM Postgraduate Diploma in Management. The program includes an on-campus graduation ceremony and networking opportunities.

Why Postgraduate Diplomas?

This program stands out for its comprehensive coverage of AI and ML technologies, practical hands-on learning approach, and integration with AIM's prestigious management education. Key features include live interactive sessions with global industry experts, hands-on experience with latest tools and frameworks, credit transfer opportunities, and access to AIM's extensive alumni network. The program culminates in an on-campus graduation ceremony, providing valuable networking opportunities.

What does this course have to offer?

Key Highlights

  • Live interactive sessions with global experts

  • Hands-on experience with AI/ML tools

  • 20 credits towards AIM Postgraduate Diploma

  • On-campus graduation ceremony

  • Practical project experience

  • Comprehensive AI/ML curriculum

  • Industry-relevant tools training

  • Real-world applications focus

Who is this programme for?

  • Early to mid-career professionals starting in AI/ML

  • Technical professionals in analytics/data science

  • Professionals seeking AI/ML expertise

  • Data analysts and scientists

  • Technology professionals transitioning to AI/ML

Minimum Eligibility

  • Bachelor's degree

  • Proficiency in programming basics

  • Understanding of mathematics and statistics

  • Good analytical skills

Who is the programme for?

The program welcomes applications from professionals aiming to integrate AI and ML into their careers. Admission requires a bachelor's degree and basic programming knowledge. The academic structure combines theoretical foundations with practical applications across five pillars, including a capstone project. The program features live interactive sessions with industry experts and hands-on training with modern AI/ML tools.

Selection process

How to apply?

Curriculum

The curriculum is structured around five comprehensive pillars: Introduction to AI and Machine Learning, Supervised Learning Techniques, Unsupervised Learning and Advanced Topics, Generative AI and Applications, and a Capstone Project. Each module combines theoretical concepts with practical applications, featuring hands-on exercises and real-world case studies.

There are 6 semesters in this course

The program is divided into five key pillars covering essential aspects of AI and ML. Starting with foundational concepts, students progress through supervised and unsupervised learning techniques, advancing to cutting-edge topics like generative AI. Each pillar includes practical exercises, programming assignments, and real-world applications. The program culminates in a capstone project where students apply their learning to solve real-world problems. Topics include Python programming, statistical analysis, deep learning, natural language processing, and model deployment.

Module 7: Digital Marketing

Pillar 1: Introduction to AI and Machine Learning

Pillar 2: Supervised Learning Techniques

Pillar 3: Unsupervised Learning and Advanced Topics

Pillar 4: Generative AI and Applications

Capstone Project

Programme Length

The 12-month program delivers content through live interactive sessions with global industry experts. Students typically dedicate 7-9 hours per week to coursework, including lectures, hands-on practice, and assignments. The flexible online format allows professionals to balance their education with work commitments.

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

faculty member at the Asian Institute of Management

Norbert Paul R. Gerena is a faculty member at the Asian Institute of Management specializing in data science. His research interests include deep learning, representation learning, and topological data analysis. He has extensive experience working as a data scientist and consultant for various organizations.

faculty member at the Asian Institute of Management

Marwell D. Dalangin is a data science and AI expert with over 20 years of experience. He specializes in R&D, machine learning, deep learning, NLP, computer vision, IoT, and enterprise data architecture. Currently, he leads innovation as the Senior Vice President for Data Labs at SM Investments Corporation.

Tuition Fee

The program offers a comprehensive educational experience with access to industry-standard tools and frameworks. The fee includes all learning materials, live sessions with global experts, hands-on projects, and the opportunity to earn credits towards an AIM Postgraduate Diploma. Various payment options are available to accommodate different financial needs.

Fee Structure

Payment options

Financing options

Learning Experience

Students engage through live interactive sessions with industry experts from around the globe. The learning experience emphasizes hands-on practice with real-world applications and tools. The program includes regular assignments, projects, and a capstone module to ensure practical skill development. Interactive sessions facilitate peer learning and networking opportunities.

University Experience

Students join AIM's distinguished academic community, accessing a network of 47,000+ alumni across 79 countries. Benefits include access to the Knowledge Resource Center with 18,000+ printed materials and international databases, 20% discount on AIM SEELL courses, and exclusive event invitations. The program concludes with an on-campus graduation ceremony, providing valuable networking opportunities.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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About the University

University

Established in 1968 in collaboration with Harvard Business School, AIM is a pioneer in international management education in Asia. Located in Makati, Philippines, the institute was founded to develop 21st-century Asian change agents through master's and executive programs tailored for Asia's emerging markets. AIM is distinguished as the first Southeast Asian institution to receive AACSB accreditation, demonstrating its commitment to international educational standards.

#4667

Global ranking

#8

Philippines ranking

#1654

Asia ranking

Affiliation & Recognition

AACSB

AACSB

Harvard Business School

Harvard Business School

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

faculty member at the Asian Institute of Management

Norbert Paul R. Gerena is a faculty member at the Asian Institute of Management specializing in data science. His research interests include deep learning, representation learning, and topological data analysis. He has extensive experience working as a data scientist and consultant for various organizations.

faculty member at the Asian Institute of Management

Marwell D. Dalangin is a data science and AI expert with over 20 years of experience. He specializes in R&D, machine learning, deep learning, NLP, computer vision, IoT, and enterprise data architecture. Currently, he leads innovation as the Senior Vice President for Data Labs at SM Investments Corporation.

Career services

The Career Services Office (CSO) at AIM provides comprehensive support through its innovative AI-powered job matching platform called AIM-REACH. The office delivers personalized career coaching, comprehensive career management sessions, and extensive employment opportunities. Students benefit from one-on-one career consultations covering resume preparation, LinkedIn optimization, and strategic career planning. The CSO organizes various professional development events including webinars, recruitment fairs, and networking sessions. Through AIM-REACH, students receive customized job recommendations based on their skills and career goals, while also gaining opportunities to connect directly with potential employers through virtual recruitment sessions and networking events.

100%

Placement success rate

50+

Employer partnerships

Top Recruiters

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Degree Course Image
  • Course Start Date:

    23rd Dec, 2025

  • Application Deadline:

    21st Nov, 2025

  • Duration:

    12 Months

2,55,991

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.