Wyłącz wtyczkę AdBlock, aby oglądać filmy i zapewnić prawidłowe działanie
strony.
|
Wykryto problem z odtwarzaniem tego filmu. |
|
Kanał jest niedostępny
Więcej
|
Developing a Python AI Agent for Job Search Automation. Part 2
Developing a Python AI Agent for Job Search Automation. Part 2
Build Intelligent Automation with Python and Large Language Models
This hands-on online workshop is designed for developers, students, and Python learners who want to move beyond AI theory and start building practical AI-powered solutions.
You will learn how modern AI agents work and apply generative AI technologies to real-world automation tasks.
Throughout the training, you will build an AI agent that automates the job search process.
The application will analyze a candidate’s CV and career preferences, collect job postings, compare requirements with skills, generate personalized cover letters, communicate with employers, submit applications, and help schedule interviews automatically.
Workshop Program
The training consists of two practical online sessions covering AI agent architecture, Python development, Gemini SDK integration, large language models (LLMs), structured outputs with the Instructor library, HTTP requests, JSON processing, vacancy analysis, automated employer communication, and calendar integration.
All coding examples are implemented in Jupyter Notebook and can be extended into your own AI applications.
The workshop is led by Kostiantyn Zivenko, Lead Software Engineer with seven years of commercial experience in Web Development, Artificial Intelligence, Machine Learning, DevOps, and database technologies.
After completing the workshop, you will be able to develop AI agents with Python, integrate LLMs into your own projects, automate business workflows, work with APIs, and create reusable AI components for more advanced intelligent applications.