How to Build Chatbots: From Beginner to Intermediate

Learn to build chatbots using Dialogflow for bot interactions, connect with Twilio for text messaging, and integrate Facebook Messenger with Git-based workflows.

Explore the Dialogflow interface, organize projects and agents in the main navigation, test conversations, and explore pre-built projects and platform integrations such as Messenger and Google Home.

Sign up and sign in to Twilio, review account ID, auth token, and balance, and learn to create a messaging service linking to dialogue flow with a phone number.

Explore Facebook for developers and learn how to integrate with Messenger, create a development app, generate tokens, set up a Facebook page, and configure webhooks and permissions for chatbots.

Learn to use Heroku as a cloud server to host code, deploy to staging or production, and manage apps by logging in and pushing code.

Learn the basics of git, a version control system, install it on macOS or Windows, and push your code to a remote cloud repository.

Learn how intents drive dialogue flow and how entities add context to user input, using hotel booking as an example with specifics like hotel name and time.

Create an agent and define hotel bot entities such as hotel, room, and payment, then configure intents like book a room with synonyms.

Define the welcome intent by listing user expressions like hello and welcome, map them to responses such as hi and hello, then train and test the model to recognize greetings.

Create an order intent by linking room and hotel entities and training the bot to provide booking options with API-driven hotel links.

Define a follow up intent to capture the next user input, such as room count. Train the agent to recognize the number entity and respond with cost.

Modify the bot by changing the intent and entities for subway toppings. Complete the challenge, then review the solution in the next video.

Define entities for bread and sauce and build an order intent with follow-ups to collect bread type and sauce, then test and refine value extraction from user input.

Designing chatbots introduction guides you to convert your resume into a chat bot format, showcasing your skills for recruiters and focusing on designing the conversational experience.

Define the purpose of the chatbot to recruiters by delivering bite-sized resume details via a guided menu and scheduling options using Twilio.

Craft concise, natural chat scripts that map user and bot interactions to clear options and required inputs, avoiding repetition and assumptions.

Use a concise chatbot design checklist to emphasize benefits for recruiters, enabling easy access to your resume details in a chat and fast ways to contact you.

Create a new agent and define entities such as about me, contact me, education, experience, projects, and skills, then review, test intents, and prepare for Tulio SMS integration with Twilio.

Test a Dialogflow chatbot by validating intents such as about me, experience, education, and projects, and train responses to ensure smooth menu navigation and set up for Twilley integration.

Integrate Twilio in the integrations tab by configuring account id, authorization token, and a phone number, then save the request and set up the service with funded balance.

Test the chatbot on a phone by texting it responses based on trained intents, and explore menu options for skills, experience, and contact details.

Learn to set up a Slack workspace, install a bot framework, and organize project files to run a workplace Slack bot server for bot development.

Configure the slack bot environment by saving client id and client secret, creating an environment folder, and installing dependencies to run a local server on port 3000.

Activate the server and set up the js file, then use the hosting link to host our code and connect Slack events for user redirects.

Enhance an intermediate Slack bot by modifying a message to listen for the word bike and respond with the message I like bikes, then save and test your bot.

Install and manage node modules in the terminal using cd, ls, and sudo on the desktop. Use Sublime Text to edit index.js and begin setting up Facebook Messenger integration.

Initialize the index.js by booting an express server, requiring express and body-parser, and defining get routes. Prepare for Facebook verification with a token and handle message payloads.

Log in to your group, create a new app URL, and push code to the cloud on Heroku, deploying the app and routes for Facebook platform verification.

Set up the fitness bot on the Facebook platform by creating a new app, selecting relevant messaging endpoints, subscribing to events, and verifying tokens to enable secure messaging.

Create a Facebook page, set up the profile, and generate a Messenger token with page permissions to power a fitness chat app.

Develop new code to send bot messages by processing Facebook page inputs, building requests, and echoing received messages back through a dedicated function, with token handling for Facebook integration.

Push the latest code to the cloud and master, save changes, and test the updated chatbot in Facebook in the next video.

Test our chatbot code in the Facebook group by using the test button to echo received messages via the webhook, then design a fitness bot that provides actionable advice.

Build a fitness chatbot that serves workout cards through a webhook, using a generic message flow and Facebook card payloads to present exercises like push ups and bench press.