Are you struggling with small data to train your deep learning models? Applied machine learning is on the rise in many domains and Industries. The unavailability of a large amount of data becomes a bottleneck to many problem statements in ML/AI. The time to train complex deep learning algorithms and models also need high computational power.In this workshop, we will learn about Meta-Learning, a subfield of machine learning to train the model with fewer training data and make the model learn faster. Meta-learning is gaining popularity in various industries for deploying deep learning models. This workshop is beneficial for all data scientists, machine learning(ML) researchers and professionals to learn the latest advancement in ML/AI.