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1537 to 1560 of 1929 results
Search results 1537 - 1560 of 1929Category: Cloud Platforms
- COURSEAlibaba Cloud
Applications of Alibaba Cloud PAI: Image ClassificationIntermediateDuration: 40 minutes and 41 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Machine Learning; This course has: 2 Units - COURSEAlibaba Cloud
Notebook Style Development with Alibaba Cloud PAI-DSWIntermediateDuration: 22 minutes and 19 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 22 minutes and 19 seconds; Content Topics: Machine Learning; This course has: 1 Unit - COURSEAlibaba Cloud
Visual Development with Alibaba Cloud PAI-StudioIntermediateDuration: 35 minutes and 59 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 35 minutes and 59 seconds; Content Topics: Machine Learning; This course has: 2 Units - COURSEAlibaba Cloud
Alibaba Cloud 6th Generation ECS Technical EssentialsBeginnerDuration: 53 minutes and 18 secondsAuthor: Alibaba Cloud; Difficulty: Beginner; Duration: 53 minutes and 18 seconds; Content Topics: Compute; This course has: 7 Units - LEARNING PATHStuart Scott
AWS WAF - Security Pillar SEC 6 - How do you protect your compute resources?AdvancedDuration: Up to 8 hours and 38 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 6 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 8 hours and 38 minutes; Content Topics: Amazon Web Services; This learning path has: 10 Courses, 1 Lab challenge, 4 Hands-on labs - LEARNING PATHStuart Scott
User activity and API tracking with AWS CloudTrailAdvancedDuration: Up to 4 hours and 35 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: This course shows how AWS CloudTrail enables you to track both user account activity and API usage across your AWS account to maintain governance and compliance; Duration: Up to 4 hours and 35 minutes; Content Topics: Management, Security, Monitoring; This learning path has: 2 Courses, 1 Lab challenge, 2 Hands-on labs - LEARNING PATHStuart Scott
Create, Manage, and Control Cryptographic Keys using AWS KMSAdvancedDuration: Up to 5 hours and 41 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: This course will help you to create, manage, and control cryptographic key using AWS KMS, through on-demand courses and hands-on labs and challenges; Duration: Up to 5 hours and 41 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 4 Hands-on labs - HANDS-ON LABStefano Cascavilla
Google Cloud Firestore in Datastore Mode PlaygroundBeginnerDuration: Up to 2 hoursAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Google Cloud Firestore skills in a free-rein, empty GCP environment by working with Firestore in Datastore mode in any way you see fit!; Duration: Up to 2 hours; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps - LAB CHALLENGEStefano Cascavilla
Google Cloud Firestore in Datastore Mode ChallengeIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Firestore skills by performing tasks required to create a NoSQL database, create entities and indexing them.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This lab challenge has: 2 Lab steps - HANDS-ON LABStefano Cascavilla
Working with Advanced Components in Cloud Firestore in Datastore ModeIntermediateDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will work with advanced components of Firestore in Datastore mode such as indexing, ancestors, and GQL queries; Duration: Up to 45 minutes; This hands-on lab has: 5 Lab steps - HANDS-ON LABStefano Cascavilla
Google Cloud Spanner PlaygroundBeginnerDuration: Up to 2 hoursAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Google Cloud Spanner skills in a free-rein, empty GCP environment by creating Cloud Spanner instances and databases in any way you see fit!; Duration: Up to 2 hours; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps - LAB CHALLENGEStefano Cascavilla
Google Cloud Memorystore ChallengeBeginnerDuration: Up to 40 minutesAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Demonstrate your Cloud Memorystore skills by performing tasks required to set up Redis and Memcached clusters in this lab challenge.; Duration: Up to 40 minutes; Content Topics: NoSQL; This lab challenge has: 2 Lab steps - HANDS-ON LABCalculated Systems
Spatial Measurements and Spatial Transformations with BigQuery GIS and PythonBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: Perform spatial measurements and spatial transformations in BigQuery GIS using Python in this lab.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
QA HTML/CSS/JS ExampleBeginnerDuration: Up to 2 hoursAuthor: QA; Difficulty: Beginner; Description: QA HTML/CSS/JS Example; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps - HANDS-ON LABLogan Rakai
Orchestrate Agents with Microsoft Foundry WorkflowsIntermediateDuration: Up to 1 hour and 15 minutesAuthor: 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 - HANDS-ON LABParveen Singh
Automating File Processing with Azure Functions and Storage Blob TriggersAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to use Azure Functions and Storage Blob Triggers to automate file processing in Azure Blob Storage in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Implementing an ETL Pipeline with AWS SDK for PandasBeginnerDuration: Up to 1 hourAuthor: 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 - HANDS-ON LABMark Secrist
Building a Python Client for Amazon DynamoDBIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Mark Secrist; Difficulty: Intermediate; Description: Creating a Python client for Amazon DynamoDB; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - LAB CHALLENGEJun Fritz
Amazon Bedrock Guardrails ChallengeBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Put your Amazon Bedrock knowledge to the test by configuring guardrails for a fictional company in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This lab challenge has: 1 Lab step - HANDS-ON LABJun Fritz
Generating Custom Images and Variations with Amazon BedrockIntermediateDuration: Up to 40 minutesAuthor: 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 - HANDS-ON LABJun Fritz
Working With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: 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 - HANDS-ON LABJun Fritz
Developing Chains and Runnables With the LangChain Expression Language (LCEL)BeginnerDuration: Up to 45 minutesAuthor: 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 - HANDS-ON LABAndrew Burchill
Performing Data Quality Checks Using an Amazon Athena NotebookBeginnerDuration: Up to 1 hourAuthor: 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 - HANDS-ON LABJun Fritz
Formatting Large Language Model Inputs With LangChain Prompt TemplatesBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps