Target Audience:

This course is ideal for:

• Customer Support Managers and Operations Leads exploring chatbot automation.

• Product Owners and Business Analysts seeking hands-on experience with conversational AI tools.

• Educators and Corporate Trainers who want to deliver AI literacy sessions without programming.

• Non-technical Professionals (marketing, HR, admin) who want to prototype chatbots quickly.

• Students and fresh graduates with no coding background but strong interest in AI-powered UX.

No programming experience required. Participants should be:

• Comfortable using web-based interfaces

• Familiar with basic digital workflows (browser, AWS signup, form inputs)

Prerequisites

• Basic familiarity with web interfaces

• AWS free-tier account recommended

• Laptop with a web browser

Learning Outcomes

• By the end of this 1-day course, participants will be able to:

  • Understand Agentic AI concepts and the importance of conversational agents in business automation.

  • Navigate the Amazon Lex console and set up a bot environment using a low-code interface.

  • Design intents and utterances for natural language interactions with end-users.

  • Configure slots and prompts to gather user input like date, time, and preferences.

  • Create multi-turn dialogues using Lex’s built-in dialog flow tools—no code required.

  • Test and refine chatbot responses directly within the AWS console to handle various scenarios.

  • Apply best practices in chatbot design including context management and validation logic.

  • Publish and integrate bots with digital channels like web and messaging platforms.

  • Troubleshoot and iterate using Lex’s built-in tools and documentation resources.
    
    

Morning Session (9:00 AM - 12:00 PM)

Module 1: Introduction to Agentic AI and Amazon Lex (1 hour)

• Overview of Agentic AI and conversational interfaces

• Introduction to Amazon Lex: Features, use cases, and benefits

• Setting up an AWS account and navigating the Lex console

• Lab: Configure AWS credentials and explore the Lex console

Module 2: Designing Intents and Utterances (1 hour)

• Understanding intents and utterances

• Creating a sample chatbot (e.g., Restaurant Booking Bot)

• Defining sample utterances and prompts

• Lab: Build a basic Lex bot with intents for booking a table

Break (15 minutes)

Module 3: Configuring Slots and Prompts (1 hour)

• Introduction to slots and slot types

• Setting up slots for data collection (e.g., date, time, party size)

• Customizing prompts and responses

• Lab: Add slots to the Restaurant Booking Bot and test interactions

Afternoon Session (1:00 PM - 4:00 PM)

Module 4: Dialog Management and Testing (1.5 hours)

• Configuring dialog flows and validation prompts

• Managing multi-turn conversations without code

• Testing and refining bot interactions in the Lex console

• Lab: Enhance the bot with multi-turn dialog and test edge cases

Module 5: Best Practices and Deployment (1 hour)

• Designing effective conversational flows

• Adding context and session attributes in the Lex console

• Publishing the bot and integrating with channels (e.g., web or messaging platforms)

• Lab: Finalize and publish the Restaurant Booking Bot

Q&A and Wrap-Up (30 minutes)

• Review of key concepts

• Troubleshooting common Lex issues

• Resources for further learning (AWS Lex documentation, tutorials)

• Participant feedback 

or contact janice@marcnzed.com or call Janice at +6019 470 3904