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Search results 49 - 65 of 65- HANDS-ON LABJun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS LambdaIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABLogan Rakai
Predicting Time-Series Data With Amazon ForecastBeginnerDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Analyze household energy consumption and go from raw data to accurate forecasts using the built-in algorithms provided by Amazon Forecast in this hands-on lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps - LEARNING PATHStuart Scott
Building Generative AI applications with Amazon BedrockIntermediateDuration: Up to 10 hours and 28 minutesAuthor: Stuart Scott; Difficulty: Intermediate; Description: If you need to build Gen AI apps, Amazon Bedrock has you covered. Learn how to build scalable and secure applications using different foundation models in AWS; Duration: Up to 10 hours and 28 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses, 7 Hands-on labs - HANDS-ON LABJun Fritz
Building a PDF RAG Chatbot Powered by LangChain and Amazon BedrockIntermediateDuration: Up to 1 hour and 30 minutesAuthor: 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 - LEARNING PATHCalculated Systems
UPDATEDBuilding Chatbots with Google DialogflowIntermediateDuration: Up to 6 hours and 2 minutesAuthor: Calculated Systems; Type: updated learning path; 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 - LEARNING PATHFundamentals of Microsoft 365 CopilotBeginnerDuration: Up to 1 hour and 58 minutesDifficulty: 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
- LEARNING PATHFarish Kashefinejad
AI Agent DesignIntermediateDuration: Up to 3 hours and 4 minutesAuthor: 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 - LEARNING PATHAlana Layton
Leveraging Amazon Q Developer for AI-Powered Application Building and OptimizationBeginnerDuration: Up to 1 hour and 48 minutesAuthor: Alana Layton; Difficulty: Beginner; Description: Looking to get started with AI code generation? With this content, you'll learn the basics of Amazon Q Developer, including what it is and how to use it.; Duration: Up to 1 hour and 48 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 1 Hands-on lab - 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 - LEARNING PATHData Governance, Ethics, and Risk Management in AIBeginnerDuration: Up to 55 minutesDifficulty: Beginner; Description: Welcome to this course on Data Governance, Ethics, and Risk Management in AI.; Duration: Up to 55 minutes; This learning path has: 4 Courses, 1 Exam
- 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
Planning EC2 Capacity With Amazon ForecastBeginnerDuration: Up to 1 hourAuthor: 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 - LEARNING PATHBuilding Your First Agentic AI Agent on AWSIntermediateDuration: Up to 1 hour and 56 minutesDifficulty: 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
- LEARNING PATHIntroduction to CodexBeginnerDuration: Up to 51 minutesDifficulty: 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
- LEARNING PATHGenerative AI Proficiency: PractitionerIntermediateDuration: Up to 2 hours and 40 minutesDifficulty: 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