AI & Machine Learning
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241 to 264 of 351 results
Search results 241 - 264 of 351Category: AI & Machine Learning
- 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 - LEARNING PATHIdentifying AI Value and Prioritizing Use CasesIntermediateDuration: Up to 45 minutesDifficulty: Intermediate; Description: Learn how to assess which AI use cases will deliver measurable value to your business and how to prioritize them.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam
- 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 simulab has: 1 Lab step - 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 LABAndrew Burchill
Automating 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 - 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
- COURSEEvaluating AI opportunitiesIntermediateDuration: 15 minutes and 17 secondsDifficulty: Intermediate; Duration: 15 minutes and 17 seconds; This course has: 5 Units
- 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 - COURSEAlibaba Cloud
Applications of Alibaba Cloud PAI: Sentiment AnalysisIntermediateDuration: 34 minutes and 13 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 34 minutes and 13 seconds; Content Topics: Machine Learning; This course has: 2 Units - HANDS-ON LABJun FritzBuilding Interactive Machine Learning and Data Science Applications With StreamlitBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage the Streamlit framework to build interactive machine learning and data science applications on AWS in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Storage, Artificial Intelligence; This hands-on lab has: 4 Lab steps
- HANDS-ON LABQA
AI in Software ArchitectureIntermediateDuration: Up to 40 minutesAuthor: QA; 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 LABQAGitHub Copilot App Creation DemoIntermediateDuration: Up to 2 hoursAuthor: QA; 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
- LEARNING PATHIntroduction to Modern AI Agent ProtocolsIntermediateDuration: Up to 43 minutesDifficulty: Intermediate; Description: Discover the key protocols that enable AI agents to communicate, collaborate, and operate safely across platforms and industries.; Duration: Up to 43 minutes; This learning path has: 3 Courses, 1 Exam
- COURSEIntroducing language modelsIntermediateDuration: 9 minutesDifficulty: Intermediate; Duration: 9 minutes; Content Topics: Artificial Intelligence; This course has: 4 Units
- COURSEIntroductionIntermediateDuration: 2 minutesDifficulty: Intermediate; Duration: 2 minutes; Content Topics: Artificial Intelligence; This course has: 2 Units
- COURSECourse introductionIntermediateDuration: 1 minuteDifficulty: Intermediate; Duration: 1 minute; This course has: 1 Unit
- COURSEEvaluating, deploying, and observing modelsIntermediateDuration: 40 minutes and 41 secondsDifficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Development; This course has: 14 Units
- COURSETraining and fine-tuning language modelsIntermediateDuration: 34 minutes and 19 secondsDifficulty: Intermediate; Duration: 34 minutes and 19 seconds; This course has: 13 Units
- COURSEApp Creation DemonstrationIntermediateDuration: 31 minutes and 41 secondsDifficulty: Intermediate; Duration: 31 minutes and 41 seconds; This course has: 9 Units
- COURSEFarish KashefinejadAI Agent Design: Generative Agents in the Real-WorldIntermediateDuration: 40 minutes and 47 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 40 minutes and 47 seconds; Content Topics: Artificial Intelligence; This course has: 5 Units
- COURSEFarish KashefinejadAI Agent Design: Iteration and Observability in Multi-Agent SystemsIntermediateDuration: 26 minutes and 21 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 26 minutes and 21 seconds; Content Topics: Artificial Intelligence; This course has: 4 Units
- COURSEFarish KashefinejadAgent Design: Guardrails, Trust, and PrivacyIntermediateDuration: 31 minutes and 25 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 31 minutes and 25 seconds; Content Topics: Artificial Intelligence; This course has: 4 Units
- COURSEFarish KashefinejadAgent Design: Multiple Agents with Task DecompositionIntermediateDuration: 13 minutes and 48 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 13 minutes and 48 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units
- COURSEBen Lambert
Introduction to the OpenAI PlaygroundBeginnerDuration: 17 minutes and 33 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 17 minutes and 33 seconds; This course has: 4 Units