Creating Digital Assistants with AI

Course ID : AIM-009

Duration In-class (в days) : 4 hours

Duration Online : 4 hours

Сurriculum : in-class, Virtual Instructor-Led Training - ONLINE

Overview

In this masterclass, you’ll learn the process of creating an AI assistant that will help you process requests, prepare texts, analyze information, and work with internal documents.

You’ll learn how a digital assistant differs from a simple prompt and the limits of AI assistant application in a corporate environment. You’ll learn how to formulate system instructions, build interaction logic, and limit the digital assistant’s scope of responsibility.

Ultimately, you’ll be able to independently create and customize an AI assistant for specific business scenarios.

Audience for this course

For professionals of any profession who work daily with texts, requests, documents, or communications and want to reduce routine time with an AI assistant.

This course is suitable for those who already use neural networks but want to take it to the next level—from one-time prompts to creating fully-fledged digital assistants. It’s also suitable for those who are just beginning their exploration of AI and want to understand how to apply it to real-world work tasks. Regardless of your position or experience, you’ll learn how to customize assistants to suit your needs.

Prerequisites for this course

Confidently build prompts in generative AI systems.

Experience building AI assistants is not required—an understanding of how to formulate tasks correctly and a general understanding of how AI services work is sufficient.

Outcomes

After completing the course, students will gain the skills to:

    • Apply generative AI to automate common tasks.
    • Configure digital assistants to solve specific problems.
    • Understand the limitations and risks of using digital assistants in a corporate environment.
    • Formulate system instructions and design interaction scenarios.
    • Design the logic of digital assistants.
    • Test AI assistants, identify incorrect responses, and refine their behavior.

Outline

  1. Introduction to digital assistants based on generative AI.
  • What is a digital assistant?
  • The difference between an assistant and a one-time request (prompt).
  • How virtual assistants work: instructions, context, behavioral restrictions.
  • The difference between digital assistants and AI agents. Applicability limits for work tasks.
  • Typical use cases:
    • Processing requests.
    • Preparing texts.
    • Analyzing and structuring information.
    • Supporting internal documents.
  • Overview of Russian and international AI services for creating digital assistants.
  • Features of use in a corporate environment: data limitations, security issues, and results monitoring.
  1. Fundamentals of designing digital assistants.
  • Setting the task for a virtual assistant.
  • Defining the role and functions of a digital assistant.
  • Formulating system instructions.
  • Structuring interaction scenarios.
  • Task decomposition.
  • Constructing the logic of a digital assistant.
  • Limiting the scope of responsibility of a digital assistant.
  • Typical design errors and how to avoid them.

    Approaches to testing digital assistants are discussed:

    • Testing on typical user scenarios.
    • Identifying incorrect responses and refining instructions.
    • Evaluating the stability of the digital assistant’s behavior.
  1. Practical work on creating an AI assistant.

As part of this work, participants create their own digital assistant using provided test accounts. The tasks of writing instructions, developing interaction scenarios, processing various types of requests, and changing the behavior of the digital assistant are discussed.

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