Generative Ai With Chatgpt For Beginners

Master the Basics of Generative AI with Real-World ChatGPT Examples

What you'll learn

Understand the basics of AI and generative models

Create AI-generated images from text prompts

Write structured prompts for better output

Understand the ethical considerations of AI content

Build a basic portfolio of AI-generated content

Gain confidence using AI tools for creative projects.

Understand the limitations and best practices of AI generation

Requirements

No previous experience needed, everything you need to know will be taught in the course

Description

Unlock the Power of Generative AI with ChatGPT – No Experience Needed!Welcome to Generative AI with ChatGPT for Beginners, your step-by-step guide to understanding and using one of today’s most powerful AI tools. Whether you're a student, professional, or simply AI-curious, this course will take you from basic concepts to hands-on applications with ease.We start with foundational topics—what is Artificial Intelligence, and how do Machine Learning, Deep Learning, and NLP (Natural Language Processing) relate? You'll gain a solid understanding of LLMs (Large Language Models), Transformers, tokenization, and key concepts like temperature, top-k, and top-p sampling.Next, we dive into how AI models are built, trained, and fine-tuned. Learn the difference between supervised, unsupervised, and reinforcement learning, and explore concepts like bias, overfitting, underfitting, and analytics types.Then it’s time to get practical. Through real-world examples, you'll learn how to use ChatGPT for writing, planning, data generation, image prompting, and even creative tasks. You'll explore prompt engineering, structure design, and how to verify vs. generate information effectively.We go further with advanced topics like Retrieval-Augmented Generation (RAG), embeddings, vector databases, and multimodal and diffusion models. You'll learn where and how ChatGPT gets its information—and how to guide it responsibly.Finally, we address the big questions: ethical use, hallucinations, job impact, privacy, and how to use AI responsibly with human oversight.Each section includes quizzes, use cases, and interactive hands-on demos to ensure your learning sticks.By the end of the course, you’ll not only understand how generative AI works—you’ll know how to use it confidently and ethically in everyday life and work.Let’s demystify AI together!

Overview

Section 1: Course Introduction

Lecture 1 Introduction

Lecture 2 ChatGPT and OpenAI Introduction

Lecture 3 What is Generative AI?

Lecture 4 Speed of Course

Lecture 5 Course Material

Section 2: Hands-On With ChatGPT

Lecture 6 Section Overview: Hands on With ChatGPT

Lecture 7 Write Our First Prompt - Hands On

Lecture 8 What is Context? - Hands On

Lecture 9 What is Prompt Engineering?

Lecture 10 How to Structure a Prompt

Lecture 11 Vacation Use Case - Hands On

Lecture 12 Operator Agent Overview

Lecture 13 Multimodal Models

Lecture 14 Degrees of Image Generation - Hands On

Lecture 15 Diffusion Models

Lecture 16 Video Generation with Sora - Hands On

Lecture 17 Connectors Overview

Lecture 18 Connectors - Hands On

Lecture 19 Codex Intro - Hands On

Lecture 20 Verify Data vs Generate Data - Hands On

Lecture 21 Powerpoint Generation - Hands On

Lecture 22 Section Summary: Hands-On With ChatGPT

Section 3: Custom ChatGPT Plugins

Lecture 23 Section Overview: Custom ChatGPT Plugins

Lecture 24 Plugins Subscription Update

Lecture 25 Plugins/Custom GPTs Overview - Hands On

Lecture 26 Diet Prompt with Instacart GPT - Hands On

Lecture 27 Kayak Vacation Example with Custom GPT - Hands On

Lecture 28 Coloring Book GPT - Hands On

Lecture 29 Write a Book GPT - Hands On

Lecture 30 Lyric Maker GPT - Hands On

Lecture 31 Dungeons and Dragons GPT - Hands On

Lecture 32 Dungeons and Dragons Art Creation GPT - Hands On

Lecture 33 Create Our Own GPT - Hands On

Lecture 34 GPT Creation Limitations - Hands On

Lecture 35 Section Summary: Custom ChatGPT Plugins

Section 4: Generative AI Terminology

Lecture 36 Section Overview: Generative AI Terminology

Lecture 37 What is a Transformer?

Lecture 38 NLP, LLM, and LRM

Lecture 39 AI vs Machine Learning vs Deep Learning

Lecture 40 How are Models Created?

Lecture 41 Temperature, Top K, Top P

Lecture 42 Random Number in ChatGPT

Lecture 43 Fine Tuning

Lecture 44 Bias, Underfitting and Overfitting

Lecture 45 Supervised, Unsupervised, Reinforced Learning

Lecture 46 Prescriptive vs Descriptive vs Predictive

Lecture 47 AI Input and Output Tokens, Pricing

Lecture 48 Section Summary: Generative AI Terminology

Section 5: Retrieval Augmented Generation

Lecture 49 Section Overview: Retrieval Augmented Generation

Lecture 50 What is a RAG?

Lecture 51 Tokenizing Words - Hands On

Lecture 52 ChatGPT Embeddings: Vector Database

Lecture 53 Vacation PDF RAG -Hands On

Lecture 54 Other Use Cases For RAG

Lecture 55 Section Summary: Retrieval Augmented Generation

Section 6: Ethical Generative AI and AI Limitations

Lecture 56 Section Overview: Ethical Generative AI and AI Limitations

Lecture 57 ChatGPT Write Me a 300 Word Paragraph. Count The Letters.

Lecture 58 Privacy Concerns - Hands On

Lecture 59 Ethic Scenarios

Lecture 60 Guardrails, Human In The Loop - Hands On

Lecture 61 Hallucinations - Hands On

Lecture 62 Is My Job Save? New AI Jobs

Lecture 63 Section Summary: Ethical Generative AI and AI Limitations

Section 7: Other Concepts

Lecture 64 Section Overview: Other Concepts

Lecture 65 Other Use Cases for ChatGPT

Lecture 66 ChatGPT Batch for Large Processing

Lecture 67 AI Workflows and Agents with N8N

Lecture 68 AWS Generative AI Tools

Lecture 69 Veo 3

Lecture 70 Section Summary: Other Concepts

Section 8: You Finished The Course!

Lecture 71 Congratulations!

Beginners wanting to learn how to best use generative ai