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University of Melbourne

  • 37% international / 63% domestic

Advanced Program in Generative AI and Machine Learning

  • Non-Award

Gain essential skills to build and scale generative AI and machine learning solutions. This course is exclusively for participants based in India. Designed for professionals in India, it runs for 9 months with a blended format and includes a 2-day in-person immersion in Delhi.

Key details

Degree Type
Non-Award
Duration
9 - 9 months full-time
Study Mode
In person, Online

About this course

Advanced Program in Generative AI and Machine Learning

Gain essential skills to build and scale generative AI and machine learning solutions. This course is exclusively for participants based in India.

Generative AI is moving quickly from experimentation to enterprise adoption, creating strong demand for advanced AI/ML expertise. This program will equip you with the skills needed to design, deploy, and scale AI/ML solutions responsibly, to lead innovation, and deliver measurable ROI.

Designed for professionals in India who want to transition into AI/ML roles or advance their current projects, this part-time program runs for 9 months, with a commitment of 8-10 hours per week. It follows a blended format of recorded online lectures and weekly live sessions and includes a 2-day in-person immersion at the Melbourne Global Centre in Delhi.

Co-designed with Emeritus, a leading provider of affordable high-quality education, you'll gain hands-on expertise across the latest tools and libraries in AI and machine learning, including TensorFlow, PyTorch, Hugging Face, and Kubernetes.

Entry requirements

This program is designed for software engineers seeking to transition into AI/ML roles or enhance existing projects.

It will also be valuable to professionals skilled in the following roles:

  • Data scientists and data analysts aiming to expand their expertise with advanced AI/ML and generative AI.
  • Business analysts and consultants looking to leverage AI for insights and decision-making.
  • Product Managers and product owners wanting to incorporate AI/ML into product development and strategy.

Though not essential, a relevant bachelor's degree (or higher) along with foundational knowledge in mathematics and programming is recommended.

Study locations

Online

What you will learn

What you will learn

Gain contemporary skills and knowledge for your job now.

This course is exclusively for participants based in India.

Generative AI is moving quickly from experimentation to enterprise adoption, creating strong demand for advanced AI/ML expertise. This program will equip you with the skills needed to design, deploy, and scale AI/ML solutions responsibly, to lead innovation, and deliver measurable ROI.

Designed for professionals in India who want to transition into AI/ML roles or advance their current projects, this part time program runs for 9 months, with a commitment of 8-10 hours per week. It follows a blended format of recorded online lectures and weekly live sessions and includes a 2-day in-person immersion at the Melbourne Global Centre in Delhi.

Co-designed with Emeritus, a leading provider of affordable high-quality education, you'll gain hands-on expertise across the latest tools and libraries in AI and machine learning, including TensorFlow, PyTorch, Hugging Face, and Kubernetes.

Career pathways

This program is designed for software engineers seeking to transition into AI/ML roles or enhance existing projects.It will also be valuable to professionals skilled in the following roles:
  • Data scientistsand data analysts aiming to expand their expertise with advanced AI/ML and generative AI.
  • Business analystsand consultantslooking to leverage AI for insights and decision-making.
  • Product Managers and product owners wanting to incorporate AI/ML into product development and strategy.
Advanced Program in Generative AI and Machine Learning addresses the urgent industry need for talent capable of building, deploying, and scaling AI/ML solutions.it equips learners with a range of advanced skills in generative AI and machine learning, including:
  • Hands-on expertise across latest tools and libraries (e.g., TensorFlow, PyTorch, Hugging Face, Kubernetes)
  • Real-world practical experience relevant to sectors such as finance, retail, healthcare, and HR.
  • Optional IBM certifications in TensorFlow, responsible GenAI, and developing GenAI applications using Python
  • Structured career support including GitHub portfolio building, IIMJobs Pro membership, and interview preparation
This course ensures that learners are job-ready and positioned to lead AI-driven transformation across functions.

Course structure

  • Introduction to data science and Python fundamentals
  • Data wrangling, analysis, and feature engineering
  • Regression, classification, clustering, recommendation systems
  • Neural networks, CNNs, RNNs, transformers
  • Natural language processing and computer vision applications
  • Generative AI: GANs, VAEs, and advanced LLMs
  • Agentic AI and RAG systems for contextual decision-making
  • Reinforcement learning and deep RL
  • Deployment, MLOps, Streamlit applications
  • Ethical AI and regulatory frameworks