Microsoft BOT Framework & DialogFlow: Creating ChatBot

Understand how agents map user utterances to intents, extract parameters, and leverage fulfillment to fetch data and generate dynamic responses for weather-like tasks; design for goals, platform, and conversations.

Create and customize a dialogflow agent by configuring its name, language, time zone, and google project. Explore machine learning options, multilingual support, and export-import workflows for transferring agents.

Explore how intents map user utterances to responses in Dialogflow, using training phrases, entities, and parameters (like color) to drive static or fulfillment replies.

Learn to create and modify intents by naming them, adding training phrases with entities, and annotating parameters; configure static or dynamic responses, fulfillment, and priority, plus default fallbacks.

Create and manage developer entities by naming them, adding synonyms, and enabling automatic expansion to recognize undefined values, with batch operations for bulk actions and JSON/CSV import/export.

Learn how events drive dialogue in Dialogflow and the bot framework by using platform events and custom events to trigger welcomes, actions, and fulfillment across Google Assistant, Skype, and more.

Explore how input and output contexts represent the current user state and control intent matching, including activation, lifespan, and passing parameters through a conversation in dialog flow.

Explore how to configure input and output contexts in intents within Dialogflow, link them for dialogue flow, manage life span and naming rules, and build a bot from scratch.

Explore fulfillment in Dialogflow: build webhooks to generate dynamic responses, perform database lookups, and place orders; deploy to Actions on Google and other platforms via one-click integrations.

Learn how training and analytics in Dialogflow let you improve bot performance by using real-world logs and analytics dashboards to build, refine, and evaluate agents.

Build a chatbot from scratch using dialog flow with custom intents for hours and appointments, train prompts, implement fallback, and enable fulfillment to schedule calendar events via Google Calendar.

Discover how the Microsoft bot framework processes activities, middleware, and turn context to enable conversational bots across channels, handling message and conversation update activities.

Discover Microsoft FormFlow for creating guided conversations that automatically generate dialogs, such as ordering a sandwich, using attributes, business logic, and the FormFlow class to customize data collection.

Explore Luis, a cloud-based language understanding service that translates natural language into intents and entities, enabling REST API extraction to power conversational bots.

Learn how to build your first bot in Visual Studio using the Microsoft Bot Framework, configure the API endpoint, manage messages and activity types, and test with the emulator.

Enhance the bot in Visual Studio by adding a greeting dialog that captures the user’s name and stores it with user data state, then enable persistence with Azure table storage.

Build a form flow in Visual Studio to collect a bug report, including title, description, first name, last name, date and time, phone number, bug types, and reproduction details.

Learn to create and deploy a bot in Azure using templates, form flow, and online code editor, test in Web chat, and enable continuous deployment to channels for production.

Deploy your bot to Skype and Facebook Messenger by configuring channels with the built-in web code. Follow the straightforward setup for app ID, tokens, and page integration.