Basics Of Practical Genai - English

From Zero to GenAI Hero – Learn, Build, and Launch ChatGPT-like Apps

What you'll learn

Understand the foundations of GenAI

Master OpenAI API Chat API

Build ChatGPT Clone with OpenAI API and Streamlit

Understand and apply Prompt Enigneering techniques

Practice with advanced OpenAI Assitants API and Function Calling

Get introduced to LangChain

Requirements

Python

NLP

Generative AI Foundations

Transformers

Description

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.

Overview

Section 1: Overview of Practical GenAI Sequel

Lecture 1 Overview of Practical GenAI Sequel

Lecture 2 Practical GenAI Sequel Contents

Section 2: GenAI Basics Introduction

Lecture 3 Introduction

Lecture 4 What is GenAI?

Lecture 5 Generative vs. Discriminative models

Lecture 6 Encoder-Decoder design pattern

Lecture 7 GenAI mappings

Lecture 8 Language Models

Lecture 9 Large Language Models (LLMs)

Lecture 10 Pre-trained Transformers

Lecture 11 BERT

Lecture 12 GPT

Lecture 13 ChatGPT

Section 3: ChatGPT Clone

Lecture 14 Generative AI Engineer (Why LLMs)

Lecture 15 OpenAI API

Lecture 16 OpenAI API Basics

Lecture 17 Basic API calls

Lecture 18 API Key Management

Lecture 19 Async Client and Streaming

Lecture 20 ChatGPT Clone in Command Line

Lecture 21 Azure OpenAI API (Optional)

Lecture 22 ChatGPT Clone in Streamlit

Lecture 23 ChatGPT Clone in Streamlit with Streaming

Lecture 24 ChatGPT Clone in Streamlit with History Management

Lecture 25 Deployment of ChatGPT Clone in Streamlit

Section 4: Prompt Engineering

Lecture 26 Prompt Engineetring - Part 1

Lecture 27 Prompt Engineetring - Part 2

Lecture 28 Prompt Engineetring - Part 3

Lecture 29 Prompt Engineetring - Part 4

Section 5: Agents

Lecture 30 Agents

Lecture 31 Custom GPTs

Lecture 32 Assistants API

Lecture 33 Function Calling

Section 6: LangChain

Lecture 34 LangChain

Lecture 35 Code

Section 7: Code

Lecture 36 Code

Entrepreneurs that want to build new ideas with GenAI,Developers that integrate AI capabilities in their apps,GenAI engineers/developers