Professional Certificate Program in Generative AI and Machine Learning

Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.

Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ships

Perform feature analysis to understand the features of water bottles using EDA and statistical techniques to understand their overall quality and sustainability.

Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.

Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

Use exploratory data analysis and statistical techniques to understand the factors that contribute to customer acquisition for a retail firm.

Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different items across restaurants.

Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

Use AI to categorize images of historical structures and conduct exploratory data analysis (EDA) to build a recommendation engine that improves marketing initiatives.

Develop a shopping application that has login and public login features, different categories, and supports a variety of payment options on the Python platform