Advanced Program in Generative AI and Machine Learning
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Advanced generative AI training with a global edge
Designed with expert industry researchers and academic leaders, the Advanced Program in Generative AI and Machine Learning from the University of Melbourne combines global faculty expertise with practical assignments, optional IBM certifications, and immersive in-person learning to give you an unparalleled learning experience that gets you industry ready in just 9 months.
In an increasingly competitive landscape where employers prioritise adaptability and AI fluency, this program helps you build the credibility and depth to lead transformation—across roles, functions and industries.
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Why choose the University of Melbourne
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Source: QS World University Rankings 2026 / QS Graduate Employability 2022 / QS World University Rankings By Subject 2025
Program Highlights
Welcome at the University of Melbourne Global Centre in Delhi
Start with an in-person welcome at the University of Melbourne Global Centre in Delhi to connect with peers, faculty, and mentors.
Learn at Your Own Pace
Access pre-recorded lectures by domain experts to build a strong foundation in GenAI and ML.
Live Learning from the Best
Join faculty-led masterclasses and interactive expert sessions for hands-on learning and guidance.
Build Real-World Skills
Work with 25+ industry tools and 20+ projects simulating on-the-job scenarios.
IBM Certifications
Earn three optional IBM certificates in responsible AI, deep learning with TensorFlow, and generative AI app development.
Capstone Project
Apply your learning in a 2-week capstone to innovate and showcase your skills.
Final In-Person Immersion
Wrap up with a final in-person immersion at the University of Melbourne Global Centre in Delhi, including certificate distribution.
Career Support
Get career guidance, a GitHub portfolio review, and six months of IIMJobs premium access.
Decode global frameworks in machine learning and AI
Foundations of data science
Understand data science fundamentals, its applications, learning paths, and significance.
Core AI and ML implementation
Apply math, stats, and programming skills to build core AI and ML algorithms.
Natural language processing
Develop NLP models using transformers for tasks like text generation and translation.
Vision and speech systems
Implement deep learning-based systems for computer vision and speech recognition.
Reinforcement learning
Use reinforcement learning to build agents that make intelligent decisions in complex environments.
Model deployment and tools
Deploy ML models with Flask and Streamlit to build interactive, real-world AI applications.
What makes this program so unique?
Optional IBM certifications to give you an edge in the jobs market
Curated faculty masterclasses to expand on strategic topics
Employer-aligned curriculum with job-ready skills
Global credentials with Australia’s #2 University for Computer Science and Information Systems
Hands-on projects that blend theory and practice for accelerated learning
(QS WORLD UNIVERSITY RANKINGS BY SUBJECT, 2025)
An industry-leading curriculum for all your skill needs
This rigorous and application-focused curriculum is delivered in multiple pillars, blending foundational concepts with hands-on upskilling in core technical areas of generative AI and ML.
IBM certifications
Certification I: Deep Learning with TensorFlow
Master the TensorFlow ecosystem and apply it to real-world deep learning problems, from curve fitting to advanced neural architectures.
Certification II: Responsible and Ethical Generative AI
Develop a principled approach to GenAI by understanding ethical, social and environmental considerations in its design and deployment.
Certification III: Developing Generative AI Applications using Python
Gain hands-on experience building intelligent applications—chatbots, voice assistants and more—using Python, LLMs, RAG and IBM watsonx.
Note: IBM Certifications are optional and are spread across the program duration. IBM content is hosted on the IBM portal but accessible via the course LMS.
Hands-on projects
Sentiment Analysis on Twitter data with Recurrent Neural Networks
Advanced Clustering with DBSCAN and GMM
GANs for High-Resolution Image Generation
Text Classification with NLP Models
CNN for Image Classification
Fine-tune Large Language Models for Text Generation
Tools covered
Real-world use cases
Style Transfer: Use GANs to apply artistic styles to digital images.
Movie Recommendation System: Build a personalised recommendation system using collaborative filtering.
Training an AI for Simple Games: Apply deep reinforcement learning to train game-playing agents.
Image Classification with CIFAR-10: Optimise and fine-tune deep learning models for image classification tasks.
Gridworld Navigation: Train reinforcement learning agents to navigate Gridworld environments.
Building API for Weather Data: Develop RESTful APIs for delivering real-time weather information.
CI/CD Pipeline for ML Models: Deploy scalable ML models using container orchestration tools.
Predicting Loan Defaults: Enhance prediction accuracy using ensemble learning methods.
Analysing Loan Data to Identify Default Risk: Model borrower behaviour to assess the likelihood of loan defaults.
Who is this designed for?
This program is for professionals who want to leverage GenAI and ML to innovate, solve complex problems, and stay ahead in a fast-evolving tech landscape — whether you’re a technical expert deepening your skills or a non-technical leader exploring AI’s potential.
Ideal for:
Data scientists & analysts: Advance in cutting-edge AI, ML, and generative AI tools.
Software engineers: Transition to AI/ML roles or enhance projects with AI.
Business analysts & consultants: Use AI for data-driven insights and strategy.
Product managers & owners: Integrate AI/ML into product roadmaps.
By the end, you will:
Lead GenAI initiatives to boost efficiency and solve challenges.
Understand AI roadmaps like Agentic AI for organisational growth.
Make data-driven decisions using AI-powered insights.
Collaborate effectively with AI/ML teams.
Stay future-ready with the latest AI advancements.
Career Services Included
IIMJobs Pro subscription for six months
Spotlight and profile boost for applied jobs
Chat with recruiters who shortlist your profile
Access to job insights
Resume-builder tool
6-month access to DIY resume builder
Auto resume creator with optimisation suggestions
Unlimited resume iterations within the duration
Career preparation modules
Resume and cover letter essentials
Maximising LinkedIn and job search strategy
Interview preparation and personal branding
GitHub profile building guidance
Get and edge in the market with your digital portfolio on GitHub. Share code and collaborate with other data science enthusiasts on projects that add credibility to your resume. Additionally, you will also:
Create your own profile or optimise your existing one.
Publish two projects (including the Capstone Project) on your GitHub portfolio.
Get insights from domain experts on how/why GitHub is a key differentiator in the interview process.
Certificate
Upon successfully completing the program, you will be awarded a Certificate of Completion from the University of Melbourne. To successfully complete this program and receive a certificate of completion, you must score a minimum of 70% marks on all mandatory assignments and successfully complete the capstone project.
Register as soon as possible. Space is limited.
Flexible payment options available.
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