Courses

Explore an advanced tutorial on the Autogen framework for managing multi-agent workflows, focusing on creating an AI travel agent. Learn how to use Autogen to search for flights by connecting to the Amadeus API, write data to a serverless SQL database, and execute queries on the stored information. Gain insights into developing AI applications for travel planning and booking. Access the accompanying GitHub repository for hands-on practice with the code. Discover complementary resources, including a detailed blog post, technical articles on function calling, and links to additional tutorials. Follow the instructor on Medium for ongoing updates in AI, Data Science, and Large Language Models. For those interested in further AI development or mastering LLM-app creation, explore opportunities for personalized consultations and course enrollment.

Learn to build an AI-powered voice travel agent that automates trip planning from conversation to email delivery using ElevenLabs for realistic voice interactions and n8n for workflow automation. Follow along as the instructor demonstrates creating a system where users can speak their travel preferences and receive a complete, personalized travel guide via email within seconds. Master the integration of ElevenLabs voice technology with n8n automation workflows to create an agent that asks key questions about destinations, dates, and preferences, then automatically searches for flights, resorts, and activities before compiling everything into a comprehensive travel plan. Explore the technical implementation including webhook configuration, airport code processing, date formatting, API integrations for activities and accommodations, flight search functionality, and email automation. Access the complete workflow template for free and discover how to configure ElevenLabs settings, set up webhook responses, handle data formatting, integrate multiple travel APIs, create an email agent for travel plan generation, and establish the complete automation pipeline from voice input to email delivery.

The AI Travel Agent is a project where learners create an interactive app to help users plan trips. Users can input preferences such as budget, destination type, and travel dates through a simple interface. Based on this information, the AI suggests destinations, builds detailed itineraries, and provides real-time updates on flights, weather, and hotels. The app pulls data from the OpenAI and Weather APIs to ensure the information is accurate and up-to-date. Completing this project will give you hands-on experience in developing both front-end and back-end features. By the end, you'll know how to create a dynamic, user-friendly app that integrates real-time data— perfect for showcasing in your portfolio!

Unleash the power of AI agents with CrewAI by building a travel planner app! Create specialized agents that search the web and collaborate to generate comprehensive itineraries. Integrate with Flask to develop a web application where users can request personalized, detailed travel recommendations.

Learn to design, build, and deploy multiple AI Agents using AWS by building your own production-ready AI Travel Agent and gain hands-on experience to boost your AI skills!Learn how to build AI agents that work together to complete tasks, using AWS Bedrock’s powerful language modelsDesign a system where multiple AI agents collaborate while being supervised by a single agentUse AWS Lambda to make your AI agents run efficiently without worrying about managing serversStore and organize important travel data using Amazon S3, so your AI agents always have access to the right informationMake your AI agents accessible through the web by setting up secure and scalable APIs with AWS API GatewayBring it all together by building a fully functional AI-powered Travel Agent that can provide smart recommendations in real-time

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to build, and test proof of concept code snippets for a Travel Agent app that's built on the Gemini Pro model, the Vertex AI Python SDK, and the Google Maps API.

In this 1-hour long project-based course, you will learn how to create a single page website for an imaginary travel agent using HTML and CSS. HTML and CSS are the core for building any website or web application and are indispensable knowledge for any web developer. HTML enables the creation of the web pages layout and structures while CSS enriches the HTML pages by adding the style and feel to them. Eventually, you will be able to use the knowledge acquired on far complex projects that employ these technologies in one way or another. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Master AI Agentic Design Patterns with Ollama & OpenAI: Build Intelligent, Adaptive Systems for Real-World Applications What you'll learn: Design and implement intelligent research paper analysis systems using reflection patterns to automatically extract insights and generate comprehensive summaryCreate sophisticated travel planning agents that utilize external APIs and tools to generate personalized itineraries and manage complex booking workflows.Develop automated content creation systems that can research topics, generate structured articles, and optimize content while maintaining consistent quality.Build collaborative multi-agent systems where specialized agents work together effectively across research, travel planning, and content creation tasks. Transform your AI development skills by building three production-ready agent systems. Learn how Reflection, Tool Use, Planning, and Multi-Agent patterns come together to create sophisticated AI workflows using Ollama and OpenAI technologies.Real-World Projects You'll Build1. Research Paper Analysis WorkflowBuild an intelligent system that analyzes academic papersImplement agents that extract key findings and insightsCreate automated literature review systemsGenerate research summaries and annotationsPerfect for researchers, students, and academic professionals2. AI Travel Agent SystemDevelop a comprehensive travel planning assistantCreate agents that handle flight and hotel recommendationsBuild itinerary optimization systemsImplement budget management and schedulingIdeal for travel applications and booking systems3. Automated Article Writing PipelineBuild a sophisticated content creation systemImplement research and fact-checking agentsCreate style-aware writing assistantsDevelop content optimization toolsEssential for content platforms and marketing teamsThe Four Patterns in ActionPattern Implementation Across ProjectsLearn how each pattern drives our real-world applications:Reflection PatternResearch: Self-reviewing paper analysis qualityTravel: Improving recommendations based on feedbackWriting: Content quality assessment and improvementTool Use PatternResearch: Integration with academic databases and citation toolsTravel: Connection to booking APIs and price comparison toolsWriting: SEO tools and content optimization platformsPlanning PatternResearch: Structured paper analysis workflowTravel: Intelligent itinerary creationWriting: Content structure and article outline generationMulti-Agent PatternResearch: Specialized agents for different paper sectionsTravel: Collaborative booking and planning agentsWriting: Research, writing, and editing agent teams Join now to learn how to build sophisticated AI agent systems through hands-on, real-world projects. Transform theoretical patterns into practical, production-ready applications.

Explore the fundamentals of AI agents and multi-agent systems in this lecture from Carnegie Mellon University's Advanced NLP course. Learn essential agent concepts and definitions, examine various agent architectures and their operating environments, and discover efficiency optimization techniques including context management and caching strategies. Understand the critical safety challenges that arise in agent systems and explore practical solutions to address them. Delve into multi-agent systems and communication protocols that enable collaborative AI behavior. Master the theoretical foundations and practical considerations necessary for building robust, efficient, and safe AI agents capable of operating in complex environments and interacting with other agents.

This video explores the newly released Agents API from Mistral AI, examining how the company is developing an agentic ecosystem around their language models. Learn about the current landscape of agent frameworks before diving into Mistral's approach through their official blog announcement. Watch demonstrations of practical examples showing the API in action, and discover resources available in the Mistral AI Cookbook on GitHub. The tutorial also covers official documentation to help you implement these agent capabilities in your own projects. For developers interested in building LLM agents, this 15-minute guide provides a concise overview of Mistral's agent system with links to additional resources including a Colab notebook for hands-on experimentation.

Build Multi-Agent AI Apps with AWS Bedrock Agents, CrewAI, AWS MCP Servers & Amazon Q CLI, RAG - 4 Enterprise Use Cases What you'll learn: Learn fundamentals about AI Agents such as Planning, Tools, Memory and Multi-Agent FrameworkDeep Dive into Amazon Bedrock Agents - Learn about Amazon Bedrock Agents and Multi-Agent Orchestration FrameworkLearn Basic Concepts of CrewAIBuild Use Case 1 - Hotel Booking Agent : Build a Hotel Booking Agent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge BasesBuild Use Case 2 - Enterprise Travel Agent (Multi-Agent) : Build a Enterprise Travel Agent using Amazon Bedrock Multi-Agent Orchestration Framework.Build Use Case 3 - Vacation Planner AI App using CrewAI Framework and BedrockLearn basics of Model Context Protocol (MCP) and build Coding Agent with AWS Cloudformation MCP Server and Amazon Q CLIDetailed Refresher on Generative AI, Amazon Bedrock, Prompt Engineering and Knowledge BasesRefresher on Basic Python, AWS Lambda and Boto3 [NEW] Amazon Bedrock Agents and AI Agents - Complete Course :Welcome to the most comprehensive guide on AWS Amazon Bedrock Multi-Agent Framework and CrewAI from a practising AWS Solution Architect and best-selling Udemy Instructor.This course will start from absolute basics on what is Agentic AI and core characteristics of AI Agents such as Planning, Memory, Tool Calling and Multi-Agent Communication.Then we will deep dive into Amazon Bedrock Agents and Multi-Agent framework.Next, we will build Use Case 1 - Hotel Booking Agent : A Hotel BookingAgent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge Bases (Using the Amzon Nova Model)Next, we will build Use Case 2 - Enterprise Travel Agent (Multi-Agent) : A Enterprise TravelAgent using Amazon Bedrock Multi-Agent Orchestration Framework.Use Case 3 - Build Vacation Planner AI App using CrewAI framework and BedrockUse Case 4 - Build an Infra CodingAgent using AWS MCP CloudFormation Server and Amazon Q CLI.Included a refresher lectures on GenAI, Bedrock and AWS Lambda which will be used in the course to build 2 use cases.I will continue to update this course as the Agentic AI evolves to give you a detailed understanding and learning required in enterprise context, so that you are ready to switch careers. Detailed Course OverviewSection 1 - Course IntroductionSection 2 - Evolution of AI Agents : Learn fundamentals about AI Agents such as Planning, Tools, Memory, Multi-Agent FrameworkSection 3 - AWS AI Agentic Framework Deep Dive - Amazon Bedrock Multi-Agent Frameworks : Learn about Amazon Bedrock Agents, Multi-Agent Orchestration FrameworkSection 4 - Use Case 1 - Hotel Booking Agent : Build a Hotel BookingAgent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge BasesSection 5 - Use Case 2 - Enterprise Travel Agent (Multi-Agent) : Build a Enterprise TravelAgent using Amazon Bedrock Multi-Agent Orchestration Framework.Section 6 - Use Case 3 - Vacation PlannerAI app using CrewAI framework and BedrockSection 7 - Use Case 4 - Build an Infra CodingAgent using AWS MCP CloudFormation Server and Amazon Q CLISection 8 - Refresher - Generative AI, Amazon Bedrock and Knowledge BasesSection 9 - Refresher - Basic Python, AWS Lambda and Boto3 Services Used in the Course :Amazon Bedrock AgentsCrewAI AWS MCP CloudFormation ServerAmazonQ CLIAmazon Bedrock Agents - Multi-Agent Orchestration FrameworkAmazon Bedrock Knowledge BasesAmazon Nova Foundation ModelClaude Sonnet Foundation ModelAWS LambdaAWS DynamoDBOpen API SchemaStreamlitBasics of Generative AIEverything related to AWS Amazon BedrockS3Prompt design Techniques (Zero Shot, One Shot.) for Claude, Titan and Stability AI Foundation Models (LLMs)Python

Dive into the world of multi-agent AI systems with CrewAI! This beginner-friendly course teaches you how to build a simple travel planning application by orchestrating AI agents that work together. You'll learn to create agents with specific roles, assign them tasks, and coordinate their collaboration.

Embark on a transformative journey with global adventurer Robin Esrock in this inspiring TEDxVancouver talk. Discover how a life-altering accident led Esrock to pioneer a new era of multi-platform travel journalism through his year-long solo backpacking adventure across 24 countries. Gain insights into the power of embracing unexpected opportunities, trusting your instincts, and finding paradise in unlikely places. Learn valuable lessons from Esrock's experiences in Bolivia and Albania, and understand the importance of maintaining a positive attitude in the face of challenges. This thought-provoking presentation encourages viewers to step out of their comfort zones, explore the world, and use travel as a tool for personal growth and learning.

This 17-minute tutorial provides a hands-on introduction to Google's Agent Development Kit (ADK), a framework for building and deploying AI agents. Explore how ADK integrates with Google Cloud and Vertex AI while also supporting models from competitors like OpenAI and Anthropic. Follow along with a practical implementation of a travel planner agent, learning the complete workflow from initial setup to defining agents, running options, and troubleshooting common errors. The demonstration covers the entire development process with clear timestamps guiding you through each section, making it easy to understand how to leverage this emerging tool in the mainstream AI agent ecosystem.

Explore OpenAI's revolutionary new Agent Builder tool in this 17-minute tutorial that demonstrates how to create and deploy AI agents using a simple visual interface. Learn about the latest release notes and discover how this tool competes with established platforms like n8n and Make for agent development. Navigate through the Agent Builder Canvas and understand the deployment and optimization process for your agents. Master the fundamentals by creating projects and workflows, then dive deep into the various Agent Builder nodes available for customization. Follow along as you build a practical RAG (Retrieval-Augmented Generation) agent from scratch, and enhance its capabilities by integrating a second vector store for improved performance. Gain hands-on experience with OpenAI's game-changing tool that simplifies the complex process of AI agent creation and deployment.

Learn to overcome common deployment challenges when working with AI agents in this conference talk from the AI Engineer World's Fair. Discover the various technical issues that plague agent deployments, including serverless complications and networking problems that can derail your projects. Explore practical solutions and proven strategies for troubleshooting these deployment headaches, drawing from real-world experience in scaling developer platforms and managing large-scale applications. Gain insights into best practices for stable agent deployments and learn how to anticipate and prevent common pitfalls that occur during the initial deployment phases. Master the techniques needed to ensure smooth, reliable agent operations in production environments.

This structured course is for developers interested in building intelligent agents using the Agent Development Kit (ADK). It combines hands-on experience, core concepts, and practical application, to provide a comprehensive guide to using ADK. You can also join our community of Google Cloud experts and peers to ask questions, collaborate on answers, and connect with the Googlers making the products you use every day.

Ever dreamed of traveling the world and taking photos for a living? Join professional travel photographer Sean Dalton as he breaks down the process of becoming a travel photographer. Before Sean became a travel photographer, he worked a 9-5 job like most Americans. He had a Masters degree in a field he loved, and was passionate about his work. But, something wasn't right, and an urge within him lead him to leave his job and pursue a career in travel photography. Despite early hardships, Sean was able to expand his small photography business to the global level, and is now recognized as a prominent travel photographer. In this 80 minute course, Sean teaches you everything you need to know about how to become a self-sufficient travel photographer, providing you with several techniques that can help you take your photography business globally, including: How to find opportunities as a documentary photographer or photo journalist How to expand your current photography clientele to other countries How to utilize your social media accounts How to grow a stock photography portfolio How to utilize alternative methods like online teaching, photography blogging, and more. Whether you're a professional photographer that has always dreamed of becoming a travel photographer, or someone that has an interest in photography and is just looking to travel, there is something in this course for everyone. This course covers everything you need to know about taking your photography business to the global level, allowing you to live a much more free and adventurous life. ____________________________________ COURSE RESOURCES (Mentioned in course) Dropstock Shootproof (Amazing tool for client work) Click here to download the free online course outline. Subscribe to Sean on YouTube Check out Sean's Instagram Visit Sean's website. Check out Sean's other Skillshare Classes Becoming an Instagram Influencer: Creating Authentic Content and Monetizing Your Following Cafe Photography for Instagram - Telling Visual Stories with Emotional Cafe Photos Questions about the project or not sure where to start? Contact Sean directly at info@daltonstills.com or on Instagram at @seandalt.

Discover Insider Travel Tips and Master the Art of Travel Guide Writing – Your Passport to Success in Travel Writing What you'll learn: Travel journalism, Memoir, Storytelling, and others.How to create a travel blog and become a successful travel bloggerTravel business: ways to make money from travel writingMultimedia Mastery: Explore the use of photo/video content in travel writing This dynamic course is meticulously crafted to cater to aspiring writers, passionate travelers, and anyone eager to transform their love for exploration into a rewarding career. From mastering the basics of travel photography to building a strong foundation in writing skills, participants will learn the art of crafting compelling stories that captivate audiences. Dive into the intricacies of creating and maintaining a successful travel blog, explore the nuances of memoir writing, and unravel the secrets of effective travel journalism. Covering legal aspects, copyright considerations, and over 15 ways to monetize your travel writing, this course is a one-stop destination for those seeking to launch a dream career in the world of travel. This course is designed to empower you on your path to becoming a travel writing pro, dive into the world of travel tips and become a trusted travel guide authority. Whether you're a budding writer or an enthusiast seeking to turn your passion into a profession, this course provides the essential tools and knowledge. Elevate your travel writing skills, learn the art of being a travel guru, and embark on a journey where every word becomes an adventure! Join us on a transformative journey, where your passion for travel meets the mastery of storytelling, and launch your dream career today!

Learn how to represent agents as MCP servers using the mcp-agent framework in this 18-minute conference talk. Discover how this approach enables agents to be run from any MCP client, including Claude and Cursor, through the Model Context Protocol. Explore the paradigm shift from traditional "agentic" behavior existing only on the client side to agents functioning as MCP servers themselves, allowing any MCP client to invoke, coordinate, and orchestrate agents like any other MCP server. Understand the four key benefits this approach provides: agent composition for building complex multi-agent systems over the same base protocol, platform independence for using agents across any MCP-compatible client, scalability for running agent workflows on dedicated infrastructure, and customization for developing reusable agent workflows. Examine how mcp-agent combines Anthropic's Model Context Protocol standardized interface with their Building Effective Agents patterns into a composable AI application framework that manages MCP server connection lifecycles and implements production-ready agent patterns in a chainable way.