Build practical Generative AI skills by creating Python applications with Large Language Models (LLMs). This hands-on course is designed for learners who want to understand LLM development, prompt engineering, and AI application workflows through practical implementation.

You’ll begin by setting up a Python development environment, configuring LLM API access, and exploring prompts, temperature, and tokens. You’ll then build a command-line AI text generator and learn how to integrate LLM APIs into Python applications. As you progress, you’ll apply zero-shot, few-shot, and role-based prompting techniques to improve response quality. You’ll also design prompts that generate structured JSON outputs and reduce hallucinations for more reliable AI responses. Finally, you’ll bring these skills together by building an AI-powered Resume Analyzer using practical LLM workflows. By the end of the course, you’ll be able to configure an LLM development environment, build AI-powered Python applications, design effective prompts, generate structured outputs, and develop practical Generative AI solutions. The course combines foundational LLM concepts with hands-on development, helping you move from environment setup to a functional AI application.