Basics of Practical GenAI - English

Disclaimer: The audio narration in this course is AI-generated, based on human-written scripts and human-designed slides. The use of AI narration is to improve clarity for learners, while all instructional content remains instructor-created.

This is Part 1 of the Practical GenAI Sequel.

The goal of this sequel is to prepare you to become a professional GenAI engineer or developer. We’ll start from the ground up—covering the foundations of LLMs and GenAI—and progress all the way to building real, production-grade applications.

The sequel is built around a hands-on approach. Every concept is demonstrated with code-based examples, and you’ll work through step-by-step projects in Python, Google Colab, and Streamlit.

By the end of this course, you’ll have built your own ChatGPT clone. Along the way, we’ll dive into prompt engineering, explore how to create custom apps that go beyond ChatGPT’s capabilities, and leverage powerful tools such as OpenAI APIs, LangChain, and more. We’ll use Streamlit as our UI and deployment framework, taking advantage of its simplicity and Python-friendly design.

Who is this course for?

• Entrepreneurs with a developer background who want to quickly prototype and prove their ideas (PoC).

• Developers with AI experience who want to integrate GenAI into their applications.

• Aspiring GenAI engineers who aim to master both the theory and practice of GenAI, and confidently handle the challenges of building GenAI-powered apps.