AI & Machine Learning

Author: Andrea Giussani; Difficulty: Advanced; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the probability that a subject will suffer from a heart stroke.; Duration: Up to 1 hour; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you will create a banking concierge chatbot that is capable of asking clarifying and follow-up questions.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 11 Lab steps

Author: Matt Martinez; Difficulty: Intermediate; Description: Prove your practical knowledge of bots and your proficiency with the Microsoft Azure portal and CLI by creating a bot and publishing to Azure Bot Service; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This lab challenge has: 2 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy a PDF Chatbot using retrieval-augmented generation (RAG), LangChain, and AWS services in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Ollama to run, manage, and customize Large Language Models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Management, Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to engineer and develop prompts for large language models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you will use Vertex AI's vector search capabilities to recommend similar products in a retail setting.; Duration: Up to 1 hour and 15 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: Parveen Singh; Difficulty: Advanced; Description: Learn how to analyze and moderate text with the Azure AI Content Safety service using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create Power Apps using Microsoft Copilot AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Adil Islam; Difficulty: Beginner; Description: Predict income levels using census data and compare the performance of two trained models in this Azure Machine Learning Designer hands-on lab.; Duration: Up to 50 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 6 Lab steps

Author: Daniel Mease; Difficulty: Beginner; Description: Everything you need to get started working with Google Generative AI products; Duration: Up to 1 hour and 10 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses

Author: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you will integrate an online FAQ to provide a high-quality information service to your end-users.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use Azure AI Speech Service to convert speech to text and text to speech using Azure AI Studio.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to call an Amazon Bedrock model from an Amazon Aurora MySQL database in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Stuart Scott; Difficulty: Intermediate; Duration: 15 minutes and 53 seconds; Content Topics: Amazon Web Services; This course has: 4 Units

Author: Jorge Negrón; Difficulty: Beginner; Duration: 24 minutes and 54 seconds; Content Topics: Amazon Web Services; This course has: 7 Units

Difficulty: Intermediate; Description: In this lab course, you will use python to learn to design and develop intelligent single and multi-agent systems.; Duration: Up to 12 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 8 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Automatic Model HyperParameter Tuning to accelerate machine learning model development in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to enable and utilize Amazon Q Developer to improve your AWS Lambda functions in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Difficulty: Intermediate; Duration: 14 minutes and 7 seconds; Content Topics: Artificial Intelligence; This course has: 7 Units

Author: Calculated Systems; Difficulty: Intermediate; Description: This course provides an intro to the Dialogflow service and will get you up and running with building your own chatbots.; Duration: Up to 6 hours and 2 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs

Difficulty: Beginner; Description: Discover how to use Microsoft 365 Copilot effectively, responsibly, and unlock new productivity in your daily work.; Duration: Up to 1 hour and 58 minutes; This learning path has: 9 Courses

Author: Farish Kashefinejad; Difficulty: Intermediate; Description: This course introduces the foundations of AI agent design by starting with the structure of a single agent.; Duration: Up to 3 hours and 4 minutes; Content Topics: Artificial Intelligence; This learning path has: 7 Courses, 4 Exams