Generative AI
A project-based path through generative AI. Build practical apps with open-source models, from text summarizers to multi-agent systems, and deploy them on Hugging Face Spaces.
Learn from: the original creator. Original content published on YouTube. DigitalSkillX organizes these public resources into a structured learning path. DigitalSkillX does not claim ownership or partnership.
Now playing: 50+ Gen AI Projects: Create Stunning AI Art from Text using SD3!
This path follows the GenAILearniverse playlist in order. Each lesson walks through building a working generative AI application, starting with setup and a text summarizer, then moving through summarization, sentiment analysis, translation, document Q&A, computer vision, image generation, and ChatGPT integration. Tools used include Hugging Face, Gradio, TensorFlow, PyTorch, Streamlit, and OpenAI APIs. The path suits beginners who want hands-on practice and professionals building a portfolio. Some lessons are short fixes or concept videos rather than full builds. Video lengths vary, and a few titles use promotional language that does not reflect the lesson content.
Beginners who want a structured free introduction before deeper practice.
Lesson 1: Build 50+ Gen AI Projects from Scratch
The first lesson introduces the series and covers installation and setup. It then builds a text summarizer as the first project. This sets the foundation for the projects that follow.
Open on YouTubeLesson 2: Dive Into Gen AI: YouTube Video Summarizer
The second project builds a YouTube video summarizer. It takes a video script or transcript and produces a summary. The lesson continues the hands-on approach from the first video.
Open on YouTubeLesson 3: Transform Your Skills with Gen AI - Sentiment Analyzer
The third project is a sentiment analyzer. It walks through building an app that classifies text sentiment. The lesson is longer and covers the full build process.
Open on YouTubeLesson 4: Explore Gen AI: Hands-On Build - Multi-Language Translator
The fourth project builds a multi-language translator. It shows how to translate text between languages using AI models. The lesson is a hands-on build from start to finish.
Open on YouTubeLesson 5: Crafting the Future using Gen AI - Document Q&A
The fifth project creates a document Q&A tool. It lets users ask questions about a document and get answers. The lesson covers the build process for this retrieval-based app.
Open on YouTubeLesson 6: Unlock AI Potential in 2024 - Object detector
This lesson builds an object detector. It uses computer vision to identify objects in images or video. The project is the sixth in the series.
Open on YouTubeLesson 7: Object Detector with Audio - Best Gen AI Learning Roadmap - Part 7
The seventh project extends the object detector with audio. It adds a text-to-speech model so detected objects can be spoken aloud. This builds on the previous object detection lesson.
Open on YouTubeLesson 8: How to Fix the 'eSpeak Not Installed on Your System' Error
A short troubleshooting video. It shows how to fix the eSpeak not installed error that can appear in text-to-speech projects. Useful if you hit this issue during the audio object detector lesson.
Open on YouTubeLesson 9: Turn Pictures into Stories with AI: Image Captioning Tutorial
This lesson builds an image captioning app. It turns pictures into short descriptive stories or captions. The video includes an intro, demo, and hands-on coding.
Open on YouTubeLesson 10: 50+ Gen AI Projects: Create Stunning AI Art from Text using SD3!
This project generates AI art from text using the SD3 model. It shows how to turn a text prompt into an image. The lesson is a full build with the Stable Diffusion 3 model.
Open on YouTubeLesson 11: Stunning AI Art from Your Photos in Any Style | 50 Gen AI Projects from scratch
This lesson transforms ordinary photos into art in different styles. It builds on image generation by applying style transfer to user photos. The result is stylized art from personal images.
Open on YouTubeLesson 12: Everything About Prompt Engineering: Is It Your Ticket to $20K/Month?
A concept video about prompt engineering. It explains what prompt engineering is, addresses common myths, and discusses how to use the skill effectively. It is not a coding project.
Open on YouTubeLesson 13: Stay Ahead in AI: Build Your Own Midjourney-like Tool | 50 Gen AI Projects
This lesson builds a Midjourney-like image generation tool. It is a longer project that covers building the tool from scratch. The focus is on creating a text-to-image application.
Open on YouTubeLesson 14: You Won't Believe What AI Can Do with Coloring Books! ๐จ๐๏ธ
This lesson covers two creative projects. The first is an AI coloring book generator that turns concepts into printable coloring pages. The second project is also creative and builds on image generation skills.
Open on YouTubeLesson 15: Build Your Own AI Background Blur App in 10 Minutes!
A short lesson on building an AI background blur app. It uses Streamlit for the web app and AI for person detection. The app adds a professional background blur effect.
Open on YouTubeLesson 16: Master ChatGPT Integration: Build a Smart Email Assistant from Scratch | 50+ Gen AI Projects
This lesson builds a smart email assistant using ChatGPT. It covers OpenAI setup and API integration. The project is a comprehensive guide to working with the ChatGPT API.
Open on YouTubeLesson 17: Why Your Resume Gets Ignored: Fix It with AI!
This project uses AI to improve resumes. It addresses why resumes get ignored and shows how to fix them with AI. The lesson is a practical build for job seekers.
Open on YouTubeLesson 18: OpenAI's New Image Model Just Killed Product Design Agencies
This lesson builds an AI product design prototype generator. It uses OpenAI's image model to turn product ideas into professional-looking prototypes. The focus is on a practical, commercial use case.
Open on YouTubeLesson 19: I Built Karpathy's AI Menu Generator (Saves $6,800)
The eighteenth project builds an AI menu generator. It creates restaurant menus with food photography in minutes. The lesson is inspired by a project attributed to Andrej Karpathy.
Open on YouTube0 of 19 lessons completed (0%).
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