Specialize in using Google’s BARD AI tool for natural language understanding and task-specific AI development.

Learn How To Deploy Machine Learning models on Flask, Heroku, AWS, Google Cloud, Microsoft Azure, Streamlit. Beginner To Advanced

Learn by Practicing real world Projects to apply everything you have learned

Master semantic search techniques using Generative AI (Gen AI). Learn to enhance search engine capabilities by understanding user intent and providing more relevant, context-based results.

Create a fully functional chatbot in under an hour using watsonx! Learn how to leverage IBM's AI platform to build and deploy powerful, conversational AI solutions quickly and efficiently.

Build an AI-powered chatbot to analyze PDF documents with LLMs. Learn how to extract, process, and understand information from PDFs to enhance user interaction and automate tasks.

Chatbots are now the preferred method of contact for users to answer questions and get online support. This course will teach you to use Amazon Lex to build a chatbot that meets your unique needs and deploy it to Facebook Messenger.

The Azure AI Language conversational language understanding service (CLU) enables you to train a model that apps can use to extract meaning from natural language.

Learn to build a custom language translator using Long Short-Term Memory (LSTM) networks in PyTorch. Explore how to preprocess text data, train LSTM models, and deploy translation systems for multilingual applications.

Learn how to use an Azure Document Intelligence solution as a custom skill to enrich content in an Azure AI Search pipeline.

Learn how to build a grounded question-answering (Q/A) agent using Granite3, LangChain, and RAG. Discover how to integrate advanced retrieval and generative models for accurate, context-aware responses.

Learn to build machine learning models with Python.