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73 to 93 of 93 results
Search results 73 - 93 of 93Category: Generative AI
- COURSEFarish Kashefinejad
Running Local Large Language Models Using OllamaBeginnerDuration: 7 minutes and 19 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 7 minutes and 19 seconds; Content Topics: Machine Learning; This course has: 1 Unit - HANDS-ON LABAndrew Burchill
Implementing a RAG Pipeline With AWS Step FunctionsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement a RAG pipeline to support a knowledge base using AWS Step Functions in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrew BurchillAutomating Code Reviews Using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 Lab steps
- COURSEDeniz Yilmaz
High-Performance Text Analysis with HuggingFace GPT-2 on AWS Neuron with AWS InferentiaBeginnerDuration: 44 minutes and 45 secondsAuthor: Deniz Yilmaz; Difficulty: Beginner; Duration: 44 minutes and 45 seconds; Content Topics: Amazon Web Services; This course has: 9 Units - SIMULABLogan Rakai
Large Language Model (LLM) Application Security SimulabDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Intermediate; Description: This lab provides an interactive environment to explore the security implications of applications using Large Language Models (LLMs) and how to mitigate potential risks.; Duration: Up to 2 hours; Content Topics: Cyber Security; This hands-on lab has: 1 Lab step - HANDS-ON LABAndrew BurchillTracking Generative AI Usage With Amazon Bedrock Inference ProfilesBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun Fritz
Building a Generative AI Workflow With Amazon Bedrock FlowsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun FritzDeveloping Prompts With Amazon Bedrock Prompt ManagementBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzImplementing Conversational Memory Using LangChain and Amazon DynamoDBIntermediateDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzDeveloping 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
- COURSELee Mucciarone
Creating Sales Assets with Microsoft CopilotBeginnerDuration: 25 minutes and 33 secondsAuthor: Lee Mucciarone; Difficulty: Beginner; Duration: 25 minutes and 33 seconds; Content Topics: Business Suites, Artificial Intelligence; This course has: 6 Units - LEARNING PATHBuilding an AI agent - Lab courseIntermediateDuration: Up to 12 hours and 30 minutesDifficulty: 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
- HANDS-ON LABParveen Singh
Deploying a Containerized Text Analytics Solution with Azure AIBeginnerDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Beginner; Description: Learn how to deploy a containerized text analytics solution with Azure AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABQA
NEWAI in Software ArchitectureIntermediateDuration: Up to 40 minutesAuthor: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate software architecture decisions.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQANEWAutomating Documentation with AIIntermediateDuration: Up to 40 minutesAuthor: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABQANEWRefactoring for Readability & PerformanceIntermediateDuration: Up to 40 minutesAuthor: QA; Type: new hands-on lab; 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
- HANDS-ON LABQANEWAI-Powered Code ReviewsIntermediateDuration: Up to 40 minutesAuthor: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABQANEWTest Case Generation with AI AssistanceIntermediateDuration: Up to 40 minutesAuthor: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABQANEWGitHub Copilot App Creation DemoIntermediateDuration: Up to 2 hoursAuthor: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: This lab demonstrates how to create apps with GitHub Copilot.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps
- COURSENEWAI Agent Design: Generated agents in the real-world (coming soon)IntermediateDuration: 1 minuteType: new course; Difficulty: Intermediate; Duration: 1 minute; This course has: 1 Unit
- COURSENEWAI Agent Design: Iteration and Observability (coming soon)IntermediateDuration: 1 minuteType: new course; Difficulty: Intermediate; Duration: 1 minute; This course has: 1 Unit