Building Conversational Message Bots

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(Course eligible for SATVs)

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This 1-day instructor-led course teaches how to build conversational message bots with Microsoft and Google. We use a range of bot technology components, including Bot Service, Intents, Agents, Responses, Dialogues and Web Services. Azure Bot Service and Google Cloud provide integrated bot development and hosting environments for conversational bots that can reach customers across multiple channels.  Bots provide a conversational interface that accepts input in different modalities including text, speech, cards, or images. The Azure Bot Service offers fourteen channels to interact with users including Cortana, Facebook Messenger and Skype. The bot can help the user complete some tasks, answer questions, or even chit chat through action handlers. This course offers an overview of these services, providing the knowledge necessary to design bot solutions properly. It also includes several demonstrations and labs that enable students to develop hands-on skills that are necessary when implementing conversational message bot solutions.

 

 

This is a Premium New Horizons course. This course usually runs in a connected classroom, and students need to bring their own device.

This module provides an overview of Azure Bot services, including LUIS, and customer experience. It also describes Azure Bot Service components and typical deployment methods, while focussing on conversational messaging systems intents and deployments.

Lessons:

  • Overview of Azure Bot Services
  • Creating a Bot
  • Modify the LUIS APP
  • Modify Bot Code
  • Build and Test the Bot

Lab : Using C# and the Azure portal, configure and deploy a conversational message bot

  • Creating a conversational Language understanding bot with the Bot Service
  • Configuring Azure-based Bots by using the Azure portal
  • Handing Intents
  • Building and Deploying a bot solution
  • Identify and delete newly deployed resources
  • Modifying a Q&A bot to provide feedback choices
  • Chatbot Logs

After completing this module, students will be able to:

  • Describe Azure conversational message bots.
  • Describe the Azure Bot Service deployment models

 

This module provides an overview of Google Bot services, including agents, responses and customer experience. It also describes Google Dialog components and typical deployment methods, while focussing on Google conversational messaging system terminology like agents, intents, dialogs and responses.

Lessons:

  • Overview of Google Bot Services
  • Creating an Agent
  • Creating an Intent
  • Adding Responses
  • Build and Test the Bot

Lab : Using Google Cloud, configure and deploy a conversational message bot

  • Creating a basic weather agent with simple responses
  • Configure questions and locations for the weather agent
  • Creating Responses to the Weather intent
  • Building and Deploying a bot solution
  • Identify and delete newly deployed resources

After completing this module, students will be able to:

  • Describe Google conversational message bot agents.
  • Describe the Google Cloud Agent deployment models.

This course is intended for IT executives, project managers, business analysts, IT professionals and development operations (DevOps) professionals who are well versed in information technology and data who have some knowledge of cloud chatbot technologies but want to learn more about how to take advantage in their own backyard. These professionals should have at least three years of experience working in their respective fields—typically, in the areas of working with data, or web applications, or in addition to DevOps support. These Business and IT professionals have broadly applicable business and IT skills, and they generally have worked for both enterprise-level organisations and small and medium business environments.

More specifically, the intended audience includes:

  • IT professionals who have used Databases or Web applications.
  • IT professionals who have used Azure and Cognitive Services.
  • DevOps or IT administrators who are looking to gain knowledge in AI systems to support
  • Executives, Business Analytics, Project Managers who want to understand the ROI and use cases for chatbots, but with a level 100 dive into actually building and deploying conversational message bots
  • DevOps personnel who are considering deploying conversational message bots
  • IT professionals and DevOps personnel who are experienced in other non-Microsoft cloud chatbot technologies, who meet the course prerequisites, and how are looking to cross-train on Azure

     

Before attending this course, students must have:

  • An understanding of cloud technologies, such as Azure and Google including virtual machines, cloud networking, security, cloud and cognitive services
  • An understanding of networking configuration, including TCP/IP, SSL, VPNs, tokens, and API technologies.
  • An understanding of web applications, including creating, configuring, monitoring, and deploying web applications on Azure.
  • An understanding of Azure Active Directory concepts.
  • Knowledge of chatbots.
  • Knowledge of programming languages like C#.
  • Knowledge of cloud computing basics.

After completing this course, students will be able to:

  • Describe the core concepts of Azure Bot Services and Luis.
  • Explain the primary methods for implementing conversational messaging using webchat and other channels in Microsoft and other environments
  • Azure Bot Services and Azure Cognitive Services.
  • Describe Language Understanding bot with Bot Services.
  • Describe the Azure services that provide cognitive services, security, and bot and dialog capabilities in business scenarios.
  • Explain the use messaging for employee empowerment and customer engagement recovery and business continuity solutions for on-premises environments.
  • Explain how to design and implement conversational message bots.
  • Describe the difference between Azure Bot Service and implementing and agent in Google.

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