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Vibe Coding: Creating digital business solutions with AI without writing code

255000,00
₸
Регистрация
₼900
2 days | 16 аcademic hours

Trainings are conducted when forming a group of 7 or more people
Language of the training - English.


Please note: the date of the training may change.
✨ Please check the exact dates with the coordinators.
Training objectives
What You Will Gain
Day 1
Day 2

Training objectives

  • Recognize key concepts such as Vibe Coding, AI prototyping, prompt engineering, APIs, MCP, and enterprise integration in the context of internal digital solutions.
  • Explain how a business idea is transformed into an application prototype and understand the respective roles of people, AI tools, and corporate data throughout the process.
  • Use AI tools to define requirements, describe user scenarios, and rapidly validate automation hypotheses for business processes.
  • Analyze real business workflows, identifying stages, roles, data sources, constraints, and opportunities where AI can deliver measurable value.
  • Evaluate AI solutions based on business value, user experience, security risks, output quality, and implementation complexity.
  • Design the concept of an AI application ready for further development, including user logic, AI workflows, integration architecture, and a roadmap for future enhancement.

What You Will Gain

  • Practical skills in using Vibe Coding tools
  • Ability to translate a business idea into a clear AI-ready specification, including objectives, context, constraints, user scenarios, and quality criteria
  • Skills for integrating AI applications with enterprise data and services
  • A ready-to-use AI prototype for automating a real business process within the organization
  • Skills in testing, debugging, and quality assurance of generative AI solutions
  • A curated guide to the most effective AI tools and services for different use cases
  • Electronic training materials
  • Professional recommendations from an expert trainer
  • EY Academy of Business Certificate of Completion

Day 1

From Idea to a Functional AI Application
Vibe Coding as a New Approach to Building Enterprise Solutions
  • What Vibe Coding is and how Generative AI is transforming the development of internal digital products
  • The new role of business users in the AI era: from problem definition to solution design
  • Overview of modern tools such as Cursor, Lovable, v0, Bolt, Claude Code, and Codex, and their use in enterprise environments
Algorithmic Thinking and Task Design for AI
  • How AI interprets business requirements and turns them into functional applications
  • The formula for an effective prompt: objective, context, constraints, and expected outcome
  • Practical exercise: decomposing a real business process and preparing a technical specification for AI
Building User Interfaces Without Programming
  • Generating web interfaces, forms, internal portals, and dashboards
  • Iterative development using natural language: modifying interfaces, business logic, and functionality through prompts
  • Practical exercise: designing an interface for a corporate service, such as:
  • An AI assistant for proposal preparation
  • An internal request submission portal
  • A business travel request and approval system
  • An AI assistant for searching internal documents and knowledge bases
Debugging and Quality Assurance of AI Applications
  • Common Generative AI errors and how to identify them
  • Using AI for testing, debugging, and issue resolution

Day 2

Integration, Automation, and Deployment of AI Solutions
Adding Artificial Intelligence to Your Own Application
  • Creating AI-powered features: document analysis, text generation, information classification, and user question answering
  • API fundamentals: obtaining, securely storing, and using OpenAI and Google Gemini API keys
  • Configuring model behavior for specific business needs through system instructions
  • Practical exercise: integrating AI capabilities into your own application
Integration with Enterprise Services
  • MCP (Model Context Protocol): secure integration of AI with corporate data and external services
  • Working with enterprise platforms such as Notion, Slack, Jira, Microsoft 365, and other business systems
  • Process automation: notifications, document processing, approvals, and reporting
Deployment and Maintenance of AI Solutions
  • Publishing applications using one-click deployment and managing user access
  • Key information security requirements for working with AI
  • Maintaining AI solutions, implementing enhancements, and expanding functionality
Final Project
  • Participants independently develop an AI prototype to automate a real business process within their organization
  • The final session includes project presentations, discussions of solution architectures, and expert recommendations for further development and scaling.