AI & Machine Learning

Difficulty: Beginner; Duration: 11 minutes and 25 seconds; This course has: 6 Units

Difficulty: Intermediate; Duration: 25 minutes and 59 seconds; This course has: 9 Units

Author: Farish Kashefinejad; Difficulty: Intermediate; Duration: 26 minutes and 21 seconds; Content Topics: Artificial Intelligence; This course has: 4 Units

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 33 minutes and 55 seconds; Content Topics: Machine Learning; This course has: 2 Units

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Machine Learning; This course has: 2 Units

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 35 minutes and 59 seconds; Content Topics: Machine Learning; This course has: 2 Units

Difficulty: Intermediate; Description: This course is for people already using generative AI who want to deepen their understanding of prompting, and the tools and frameworks that support outcomes.; Duration: Up to 2 hours and 40 minutes; This learning path has: 6 Courses, 2 Exams, 1 Hands-on lab

Difficulty: Intermediate; Description: Discover how to navigate the AI model landscape with confidence. Learn who the major providers are, what they offer, and how to compare them using key criteria.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to refactor code for improved readability and performance.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS SDK for Pandas to process real-time transaction data in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Lean how to use Amazon DocumentDB's vector search functionality in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Databases; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Learn to create and manage multi-agent workflows using Microsoft Foundry to automate complex tasks.; Duration: Up to 1 hour and 15 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Difficulty: Intermediate; Description: This course guides you through the essentials of optimizing agentic AI systems, including prompt engineering, RAG, and evaluation.; Duration: Up to 4 hours and 23 minutes; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs

Difficulty: Intermediate; Description: This course introduces learners to the evolution of AI from static chatbots to autonomous agentic systems capable of reasoning, planning, and acting.; Duration: Up to 1 hour and 56 minutes; This learning path has: 3 Courses

Difficulty: Beginner; Description: Discover how to use Codex, the OpenAI coding assistant, to write, refactor, and review code efficiently and securely using clear, effective prompts.; Duration: Up to 51 minutes; This learning path has: 4 Courses, 1 Exam

Difficulty: Beginner; Description: Welcome to Introduction to Continue.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam

Author: Logan Rakai; Difficulty: Beginner; Description: A prompt playground to test, iterate, and compare your prompts across multiple LLMs.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step

Author: Paul Thomas; Difficulty: Beginner; Description: Introduction to Agentic AI on the Google Cloud Platform using Gemini Enterprise Agent Platform Studio and Agent Designer.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to build data-aware AI agents using Agent Search on Gemini Enterprise Agent Platform on Google Cloud Platform in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps