How to use ChatGPT and Generative AI to help create content

Name: How to use ChatGPT and Generative AI to help create content
Rating: 4.5 (76773 reviews)

Master the art of language AI: Learn to generate high-quality content, automate tasks, and unleash your creativity.

Role Play

Created byJustin Barnett

Last updated 1/2026

English

Czech [Auto],German [Auto],

What you'll learn

How to use Dall-E, Midjourney, and Adobe Firefly to generate images
How to use ChatGPT, Bard, Gemini, Bing, & Llama to write content and answer questions
How to use GPT Builder to create your own GPTs
Future-proofing your work using Generative AI
Basics of Prompt Engineering and advanced prompting techniques
Priming to get more specific AI responses
High level understanding of GANs, Transformers, and Multimodal Models and how they power Generative AI
Live demonstrations on how to use ChatGPT, Bard, and Claude to write itineraries, chat with PDFs, pair program, and mor
How to Fine Tune a GPT 3.5 Turbo Model and use the OpenAI API for Text and Image Generation
Ethical implications of AI

Course content

6 sections • 73 lectures • 6h 42m total length

What is Generative AI1:20
Explore how generative AI creates images and text, from blog posts to art and videos, using tools like ChatGPT and image generators such as DALL·E, Stable Diffusion, and Midjourney.
Syllabus4:07
Learn the fundamentals of generative AI, including GANs for image and multimedia creation and transformer models like GPT for text and coding, with examples from DALL-E, Midjourney, and Stable Diffusion.
Familiarize yourself with the Udemy User Interface2:41
Connect with Me0:53
Why learn Generative AI7:51
Discover why generative AI matters, exploring tools like ChatGPT, Stable Diffusion, and Copilot to automate routine tasks, create content, and boost productivity through human-language interfaces and improved workflows.
AI Definitions and Acronyms5:25
What is Generative AI Course

Image Generation with ChatGPT10:25
Master auto-regressive image generation with ChatGPT-4o to create consistent, editable images and infographics with inline image editing by iterating left-to-right, top-to-down, and building on prior context, unlike diffusion models.
Generating Images with Midjourney6:48
Generating Images with Gemini4:33
Generating Audio and Video with Google Vertex AI Studio8:20
Explore Google Vertex AI Studio's media suite for generating images, audio, music, and video. See Veo video generation, Chirp text-to-speech, Lyra sound, and Imagine 3 image tools.
Auto Regressive Image Generation Models5:28
Explore auto regressive image generation models and the GPT-4o image generation approach, compare left-to-right creation with diffusion, and learn how context and text accuracy improve consistency and cost.
Generating Images with Adobe Firefly7:54
Under the hood: How GANs power Generative Images6:22
Generating Professional Infographics with Nano Banana Pro5:37
Explore generating professional infographics with Nano Banana Pro, a Google image model, using reference images, nine-panel layouts comparing LEO, MEO, and GEO, with guidance options and explain like a 13-year-old.
Generative Fill with Adobe Firefly8:30
Generate Text Effects with Adobe Firefly3:14
Recolor Logos and Artwork with Adobe Firefly4:42
Experimenting with Prompts using Playground AI5:56
Generalizing your AI Image Generation Knowledge3:58
Image Generation Quiz
Case study: Coca Cola2:49
Case study reveals Coca-Cola's use of Midjourney to create an AI-generated ad by editing each video frame and recombining them into a cohesive film.
Meeting with ARTi, the AI Creative Director

Demystifying LLMs3:30
Under the Hood: How Transformers power Generative AI10:12
Basics of Prompt Engineering5:59
Zero Shot and Few Shot Prompting3:55
How to Evaluate Prompts and Models5:32
Learn to evaluate models and prompts with evals scoring outputs against a rubric. Identify input, rubric, and response, and compare prompts using multiple choice, exact match, or rubric-based evaluations.
A Framework to Writing Powerful Prompts5:18
Priming: Providing Context to get a more Specialized Answer7:08
Prime prompts by framing context and adopting expert roles to elicit specialized, higher-quality AI responses. See how context shifts produce tailored outputs for cover letters, business plans, and executive guidance.
Chain of Thought Prompting5:03
Use chain of thought prompting to reveal the model’s work for better logical and math reasoning. Harness few-shot and zero-shot prompts with context and step-by-step thinking for more accurate answers.
Transformers Quiz
(Optional) Grounding LLMs for increased accuracy9:27
Learn how grounding large language models improves accuracy by supplying task-specific data via retrieval and augmented generation, and compare grounding with fine-tuning for context using embedding and a vector database.
Under the Hood: What makes a model Multimodal7:18
Explore multimodal LLMs that process images, audio, and video via alignment and modality modules, converting media into tokens the LLM understands; examine advantages and use cases.
(Optional) Under the Hood: How Encoders allow LLMs to Process Prompts13:29
What is RAG (Retrieval Augmented Generation)6:41
Discover how retrieval-augmented generation boosts LLM accuracy by fusing internal data with external sources and citing sources. Implement it with five lines of code and private data use cases.
What is MCP (Model Context Protocol)8:29
ChatGPT and Beyond: Generalizing your LLM Knowledge4:16
Case Study: Lawyer Fined for ChatGPT Hallucinations4:07

Generating Text Content with ChatGPT5:17
Generating Code with ChatGPT4:22
Learn to generate code with ChatGPT using prompts like 'write me code' in a chosen language. See how to parse addresses and phone numbers across Python, JavaScript, C++, and Perl.
Articles and Blogs5:29
Learn to use chatgpt as an ideas assistant for crafting watch-focused blog articles, from priming prompts to expanding topics and refining content within a $2,000 budget.
Update, Revise, and Proofread Blogs and Emails3:38
Update, revise, and proofread blogs and emails with ChatGPT
Summarizing Contracts, Documents, and Reports4:10
Summarize large contracts, documents, and reports into a succinct format with LLMs
Creating an AI Application using OpenAI API5:48
(Optional) Data Analysis with ChatGPT Code Interpretter6:51
Text Generation Quiz
Choosing the Best LLM for each use case7:00
What is an AI Agent9:20
Case Study: Buzzfeed3:11
This case study shows how Buzzfeed uses ChatGPT to generate on-the-fly content from quiz responses. It builds prompts from user answers and queries the ChatGPT API for personalized ideas.
(Optional) Fine-tune and build your own GPT with GPT Builder12:20
2024 Gemini Update Demonstration7:17
Explore the 2024 Gemini update in Bard, featuring a new ai model, multimodal image analysis, extensions for live data, and built-in fact-checking for content creation.
Hands on: Google NotebookLM4:29
Meeting with Max Ledger

Example: Planning an Italy Trip using Bard7:48
Example: Chatting with a PDF using Claude3:40
Use ChatGPT to write emails for sales3:20
Use ChatGPT to code a website4:20
Use ChatGPT to write website copy3:25
Example: Prompting with Images with Bard3:44
Example: Pair Programming with ChatGPT5:15
Dos and Dont's of using Generative AI2:59
Discover the do's and don'ts of generative AI, including benefits like original content, art inspiration, quick prototyping, and awareness of copyright and plagiarism risks.
Ethics Quiz

What is Fine Tuning and When to Use It5:34
Learn how fine tuning customizes pre-trained models like GPT-3.5 for specific use cases, including customer support and niche translations, using OpenAI APIs and a labeled fine-tuning set.
Creating an OpenAI API Account2:06
Setting up your Environment4:23
Set up your python environment using either a local install on Mac, Windows, or Linux, or a browser-based Replit workspace, then install the OpenAI library with pip.
Pricing and Usage Limits3:39
Learn OpenAI API pricing and usage limits, compare GPT-4 and GPT-3.5 Turbo, and set approved, hard, and soft usage limits using token-based costs on the dashboard.
OpenAI API Overview7:20
Update on the Completions API1:06
Update on the OpenAI API notes the Completions API deprecation and shift to chat completions, with GPT-3.5 Turbo Instruct as the supported completion model and DaVinci deprecated.
How to use the Completions API for Translation3:08
How to use the Completions API for Summarization2:47
Upgrading the OpenAI API Library1:54
How to use the Chat Completion API to create a Chatbot2:59
How to use the Image Generation API to Generate Midjourney like Images5:30
Demo: Using the Image Generation API to Generate Phone Wallpapers5:54
Demo: Using the Chat Completion API6:51
How to use the Text to Speech API to Generate Podcasts from Blog Posts3:05
Demo: Using the Text to Speech API to Generate Podcasts from Blog Posts5:37
Getting started with Gemini API in Google AI Studio9:14
Self Hosted Open Source Models vs Closed Source Models10:40

Requirements

No programming experience needed! You'll learn everything you need to know
A valid email to signup for an account
Basic knowledge of how to use a computer

Description

This course is designed to teach participants how to use cutting-edge language models ChatGPT, Google Gemini, DALL-E 3, Meta Imagine, and Midjourney to create a wide range of written content, including blog articles and code. The course will begin with an introduction to the basic concepts of these models and how they work. Participants will then learn how to use these models to generate text, including how to fine-tune them for specific tasks and how to use them for creative writing. In addition you will learn how to use GPT Builder to create your own GPT to share or list on the GPT Store. And with under the hood lessons, students will learn more about how the underlying transformers models generate text, how Generative Adversarial Networks (GANs) generate images, and encoder models allow LLMs to process prompts at a deeper level

In addition to learning how to use these models for writing, participants will also learn how to use them to generate generative new artwork. This will include learning about the different types of generative art that can be created using these models, as well as how to use them to create images, videos, and other forms of media.

Throughout the course, participants will work on hands-on projects, such as writing a blog post, creating a code snippet, coding a website, write engaging sales & website copy, and generating a piece of artwork. The course will also include exercises and quizzes to help solidify the concepts covered

By the end of the course, participants will have a deep understanding of how to use LLMs (Large Language Models) like ChatGPT, Google Gemini, Claude, Dalle-3, Midjourney, Playground AI, and Adobe Firefly to create a wide range of written content and generative new artwork. They will be able to use these models to create their own written content and artwork, and will have the skills and knowledge to continue learning and experimenting with these powerful tools.

Join us to navigate the AI-powered waters of the future, and position yourself at the forefront of innovation. With our course, you'll not just ride the wave of the AI revolution—you'll be leading it.

Who this course is for:

Entrepreneurs that want to make their work more efficient
Content Creators that want to increase their output
Digital Marketers, sales, customer services, and anyone that wants to save time and optimize their processes using AI
Software engineers that want to learn how to leverage Generative AI to write code and create AI applications

How to use ChatGPT and Generative AI to help create content

What you'll learn

Explore related topics

Course content

Introduction6 lectures • 22min

Generating Images and Video with AI using Midjourney, ChatGPT, Gemini, and more15 lectures • 1hr 25min

What are Transformers and how do LLMs work15 lectures • 1hr 40min

Text Generation with ChatGPT, Gemini, and OpenAI API14 lectures • 1hr 19min

Live Demonstrations, Prompt Ideas, and Ethics8 lectures • 35min

[For Developers] How to use the OpenAI API and Fine Tune the GPT 3.5 model17 lectures • 1hr 22min

Requirements

Description

Who this course is for: