YiribaAI
FR

Integrating Generative AI into Your Applications

Build Real AI Features into Real Products

Learn how to integrate Generative AI and Large Language Models (LLMs) into real applications using modern APIs and practical architectures.

This course focuses on what you can actually build and ship, from prompt design to AI-powered systems using your own data.

Developers & Product Builders
Beginner to Intermediate

No prior AI experience required. Basic programming knowledge is recommended.

For teams and executives

This course helps teams understand how to add AI features to real products, without unnecessary technical jargon.

You will learn how to:

  • ✓Use AI APIs effectively
  • ✓Design useful AI-powered features
  • ✓Work with your company's data
  • ✓Understand AI capabilities and limits

Concepts are explained clearly with a focus on practical implementation and business value.

What you'll learn

By the end of the program, you will be able to:

  • ✔Understand how modern AI systems work
    Learn the fundamentals of Large Language Models in practical terms.
  • ✔Design effective prompts
    Use prompt engineering techniques to improve AI responses.
  • ✔Integrate AI APIs into applications
    Connect your apps to AI services using real APIs and SDKs.
  • ✔Build AI features using your own data
    Learn Retrieval-Augmented Generation (RAG) techniques.
  • ✔Create AI-powered workflows
    Build systems that combine AI with external tools.
  • ✔Design AI agents and tool-based systems
    Understand how modern AI assistants work in real applications.

Why choose this course

  • ✓Small groups (maximum 7 students)
  • ✓Live instructor-led sessions
  • ✓Step-by-step structured curriculum
  • ✓Practical implementation focus
  • ✓18+ hours of instruction per level
  • ✓Real-world examples
  • ✓Ebook included
  • ✓Certificate after examination

Technologies Covered

Depending on your projects:

  • ✓LLM APIs (OpenAI-compatible)
  • ✓Prompt engineering techniques
  • ✓REST APIs
  • ✓JSON-based AI workflows
  • ✓Retrieval-Augmented Generation (RAG)
  • ✓Vector databases concepts
  • ✓AI agents and tools

Course Format

General Class

Structured learning in small groups

  • 5–7 students per group
  • 2 classes per week
  • 45 minutes per class
  • 3 months per level
  • Instructor-set schedule

Best for students who want practical AI skills at an affordable price.

Private Class

Personalized learning and faster progress

  • One student per class
  • 2 classes per week
  • 45 minutes per class
  • 3 months per level
  • Flexible schedule

Best for students who want individual guidance and faster learning.

Exclusive Class

Intensive AI training

  • Maximum 2 students
  • 3 classes per week
  • 90 minutes per class
  • 1.5 months per level
  • Flexible schedule

Best for students who want rapid AI skill development.

What you get

  • ✓Structured AI learning path
  • ✓Guided implementation examples
  • ✓Instructor feedback
  • ✓Progress evaluation and examination
  • ✓E-certificate signed by instructor
  • ✓Ebook included

Final Project

During the course, you will build a real AI-powered feature or application, such as:

  • ✓AI chatbot connected to data
  • ✓AI-powered assistant
  • ✓Prompt-based automation
  • ✓AI API integration

This project can be used in your portfolio or product development.

Enroll Today

Start building real AI features with structured lessons and expert guidance. Choose the plan that fits your learning style and schedule.