Building AI Agents Course

Design, Build & Deploy AI Agents in 48hrs or Less in our On-Demand Workshop

AI Agents Course: Mastering AI Agent Design and Deployment

Embark on a comprehensive journey to master the creation of AI Agents with our AI Agents Course.

This course is tailored for designers, developers, and AI product decision-makers eager to enhance their skills in conversational AI. By participating, you will gain the expertise to design, develop, and deploy sophisticated AI agents using the latest technologies in LLMs, NLU, and Knowledge Bases.

What You Will Learn:

  • Conversational Design

  • Prompt Engineering: Refine your ability to craft effective AI interactions.

  • LLMs & NLU Usage: Learn when and how to effectively implement Large Language Models and Natural Language Understanding.

  • Knowledge Base Implementation: Master the integration of complex knowledge bases with Retrieval-Augmented Generation.

Course Content:

Is it for me?

  • Designers looking to expand their UX/UI skills into AI-driven interfaces.

  • Developers aiming to enhance their technical prowess in AI integrations.

  • Product Managers and AI Product Decision-Makers seeking to innovate and lead in AI product development.

  • Entrepreneurs & Startups: Great for AI Entrepreneurs who want to create MVPs and Startups that want to automate parts of their business.

Meet Your Instructors:

  • Stefan Kojouharov: With a rich background in conversational AI and collaborations with tech giants, Stefan will guide you through integrating comprehensive conversational UX strategies.

  • Austin Bedford: A seasoned Conversational Designer with a deep focus on conversational interfaces, Austin brings invaluable insights from his experience with top-tier tech companies such as Salesforce, Intuit, Google and more.

  • Voiceflow Team (Sara, Peter, & Sam): Experts in streamlining conversational AI development, the Voiceflow team will share their practical knowledge in effective AI implementation.

Part 1: Designing your AI Agent

In Part 1 you will learn how to think and design an AI Agent like a Conversational Designer.

We will start with an overview and intro to Conversational UX (CUX) and the design Stack. Then we will jump into designing your user cases around user goals and turning them into conversational flows.

These flows will be both deterministic and dynamic using the the entire CUX Stack. Lastly, we will look to improve and optimize the flows via Copywriting and Behavioral Design.

Lesson 1: Intro to Conversational UX

  • Intro to Conversational Design

  • 5 Parts of a Conversation

  • The Conversational UX Workflow

Lesson 2: Designing for Users

  • User Personas

  • Brand Archetypes

  • Insights into User Goals, Motivations & Frustration

Lesson 3: Defining your AI Agent's Use Cases & Flows

  • Defining your Use Cases & User Goals

  • Organizing Tasks

  • Conversational Flows

Lesson 4: Intro to Data, NLU & LLMs

  • What information does the User & AI Agent need?

  • Intro to NLU & NLP

Lesson 5: Copywriting & Behavioral Designing

  • 3 Parts of a Good Design

  • Psychology & Behavior Design

Part 2: LLMs, Knowledge Bases & Prompt Engineering

In Part 2, you’ll learn to organize information effectively, turning AI into a master librarian that delivers precise and relevant answers. Additionally, you’ll discover techniques to tailor AI responses to fit specific user needs, making interactions more personalized and effective.

Lesson 6: LLMs, Knowledge Bases & Organizing Data for RAG

  • What are LLMs and how they work

  • Knowledge Bases and RAG Essentials

  • Advanced Prompt EngineeringWatch Lesson 1

Lesson 7: Prompt Engineering

  • Overview of Prompt Engineering

  • 9 Types of Prompt Engineering

Part 3: Building & Deploying your AI Agent

In Part 3, you’ll build and deploy your AI Agent on Voiceflow. Voiceflow has a FREE options which you can use for this course.

Lesson 8: Building your AI Agent in Voiceflow

  • Starting your project

  • Setting up your Knowledge Base

  • Creating your first flow

Lesson 9: How to use LLMs, NLU & Prompt Engineering in Voiceflow

  • When & How to use LLMs & NLU

  • Using Prompt Chaining

  • Personalization, Sentiment Analysis, and answering user questions

  • Setting up a Dynamic Persona: A stable personality whose tone changes to meet user needs.

Lesson 10: Advanced Step By Step AI Agent Build

  • Follow Peter as he build a bot using flow, NLU, and LLMs

  • Knowledge Base

  • Prompt Engineering

  • DIY Home Depot Bot

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