Create an engaging AI icebreaker bot using IBM Granite 3.0 and LlamaIndex. Learn how to leverage AI to enhance team communication and automate introductions in a fun way.

Build an AI-driven investment advisor using LLMs and LangChain. Learn how to create a personalized financial advisor that provides real-time, AI-powered investment recommendations.

Learn how to build an AI-powered shopping assistant tailored for Black Friday deals. Discover the essentials of AI in e-commerce and how to enhance shopping experiences.

Build a powerful AI web app for predicting diamond prices. Learn how to integrate machine learning models with web applications to provide real-time pricing predictions for the diamond industry.

Custom skills allow you to enhance datasets as they pass through the enrichment pipeline. Azure Machine Learning can build custom models for regression or classification to enrich your search indexes.

Learn how to navigate the Amazon Bedrock console.

Build rules-based and generative AI chatbots with Python

Supervised learning is a form of machine learning where an algorithm learns from examples of data. We progressively paint a picture of how supervised learning automatically generates a model that can make predictions about the real world. We also touch on how these models are tested, and difficulties that can arise in training them.

Use TensorFlow to build and tune deep learning models.

Master the art of building AI guardrails with open-source tools. Learn how to create safe, ethical, and compliant AI systems by implementing robust guardrails for AI model behavior.

This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service.

Learn how to build smarter AI applications by integrating Large Language Models (LLMs) with LangChain. Unlock advanced AI capabilities for real-world use cases.