Learn to design and implement GANs for generating realistic data samples in various applications.

Understand how to leverage vector databases in building efficient generative AI solutions.

Learn to create models for grammatical error correction using Python, focusing on machine learning techniques and practical applications.

This course walks through building Machine Learning Regression Models using Scikit-Learn library from Python.

This course explains how to use Google Gemini in real-world applications and provides practical knowledge for accessing and utilizing its capabilities.

Learn to develop natural language processing and conversational AI solutions using Microsoft Azure tools.

Master how Machine Learning and Deep Learning algorithms and libraries work under the hood with practical examples.

Business Analytics for Beginners is designed to introduce you to the exciting world of data analytics in a way that is easy to understand.

Master cancer image detection techniques using PyTorch in this advanced workshop. Apply deep learning models to identify and classify cancer in medical images with high accuracy.

Learn to integrate AI tools into software development, using AI to assist with coding, debugging, and improving programming efficiency.

Gain expertise in AI development, covering machine learning models, neural networks, and AI-powered applications across various industries.

Become proficient in artificial intelligence, exploring machine learning, natural language processing, and AI-driven automation for business and technology solutions.