Advanced Program in Generative AI and Machine Learning

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.

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

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.

• 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

Upon completion of this course, you'll be able to:

• Explain the basics of Data Science, including its applications, learning path, and importance.
• Apply your understanding of mathematics, statistics, and programming to implement core AI and ML algorithms
• Analyse techniques and methods in Python to read, preprocess, and turn data into relevant features
• Select the most suitable machine learning technique (e.g., regression, classification) to solve a specific real-world problem
• Use deep learning models like CNNs and RNNs for tasks like image processing or sequence analysis
• Evaluate advanced neural network models such as Convolutional Neural Networks (CNNs) for image processing and Recurrent Neural Networks (RNNs) for sequence analysis.*
• Develop NLP models, including the use of transformer architectures for tasks like text generation and translation
• Implement computer vision and speech recognition systems using advanced deep learning techniques.
• Apply principles of reinforcement learning to create intelligent agents capable of decision-making in complex environments.
• Deploy ML models using tools like Flask & Streamlit to create interactive web applications showcasing AI and ML solutions.

This course runs for 9 months and requires a time commitment of approximately 8 to 10 hours per week. Predominately delivered online, the course features  recorded lectures, live sessions, projects, assignments, faculty masterclasses, labs, and in-person campus immersion at the Melbourne Global Centre in Delhi.

Assessment: Combination of graded assignments and a final capstone project. Learners must score minimum 70% across assessments and successfully complete the capstone project to be awarded their course completion certificate.

Advanced Program in Generative AI and Machine Learning delivers a comprehensive, industry-aligned curriculum spanning the fundamentals of data science, core machine learning, advanced deep learning, computer vision, natural language processing, and emerging domains such as generative AI, large language models (LLMs), reinforcement learning, MLOps, and agentic AI.

Designed exclusively for participants residing in India, the course includes a 2-day immersion program at the prestigious Melbourne Global Centre — Delhi.