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AI Application Development Track

Combine the power of artificial intelligence with application development. You will learn to use OpenAI APIs (such as ChatGPT API) and integrate machine learning models into your practical applications.

3 levels
70 training hours
3-4 months to complete
iconPractical Applications
iconGraduation Project
iconCertificate of Completion

Overview of the course

This track focuses on how to integrate AI into real applications, not on deep machine learning theory. You will start by understanding types of AI applications (text analysis, images, recommendations). Then you learn to use popular APIs like OpenAI and Hugging Face. Finally you build a practical app (such as a chatbot, summarization tool, or sentiment analysis) and deploy it.

What will you learn?

Types of AI applications that can be built quickly
Using OpenAI API (ChatGPT, GPT-4, DALL-E)
Working with Hugging Face and Replicate APIs
Building a custom intelligent chatbot
Adding image generation to your applications
Text summarization and sentiment analysis using APIs
Image recognition using pre-built models
Integrating AI with Flutter, React, or Python
Optimizing API cost and performance
Deploying an AI application on the internet

The levels within the path

Applied AI Basics

Understand concepts (Prompt Engineering, Tokens, Temperature), learn how to get an API key from OpenAI and make your first ChatGPT API call.

Building Integrated Apps with AI APIs

Use OpenAI API to build a simple web app (such as an email writing assistant or product description generator), handling errors and controlling context.

Complete App + Images & Files

Add image generation using DALL-E API, upload and analyze files (PDF, text), and deploy the final app on the internet.

After completing the course, you will be able to

  • Build web or mobile apps that integrate ChatGPT and DALL-E
  • Use any AI API (OpenAI, Hugging Face, Google Gemini)
  • Create a custom chatbot for your field of work
  • Deploy a real AI application used by others

Admission Requirements

  • Basic programming experience (preferably JavaScript or Python)
  • Basic understanding of APIs (can be covered at the start of the track)
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AI Application Development Track

3 levels in this track

  • Applied AI Basics
  • Building Integrated Apps with AI APIs
  • Complete App + Images & Files

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