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10 Days 10 Generative AI Projects : Zero to Gen AI Hero

Name: 10 Days 10 Generative AI Projects : Zero to Gen AI Hero
Rating: 4.6 (2 reviews)

Generative AI course || Gen AI project || learn Generative AI || Generative AI expert || AI projects course || GEN AI

Created byARUNNACHALAM SHANMUGARAAJAN

Last updated 5/2026

English

English [Auto],

What you'll learn

Build 10 real-world Generative AI projects step by step
Work with LLMs and modern AI tools
Complete Understanding of GEN AI Projects
Develop a strong AI project portfolio

Course content

9 sections • 39 lectures • 2h 51m total length

Introduction to Generative Ai1:53
First Gen AI Project Class 1 : Setting Up Environment and Downloading Model6:02
First Gen AI Project Class 2 : Loading Model and Prompt Engineering3:13
First Gen AI Project Class 3 : Generate Output & Conclusion4:17

Second Gen AI Project Class 1 : Setting Up Environment & Installing Model6:13
Second Gen AI Project Class 2 : Loading Model and Prompt Engineering5:48
Learn to load the Gwen model and generate text with the gen text function using prompt, temperature, and limit, with a post to the Olama server and try-except error handling.
Second Gen AI Project Class 3 : Generate Output & Conclusion6:20
Define a main function and loop to capture user prompts, generate text with a gen text function, and exit when the user types exit. Validate prompts and print the output.

Third Gen AI Project Class 1 : Setting Up Environment & Installing Model5:34
Set up a genai project for an ai email generator using llama 3, install ollama, configure a local server on localhost:11434, and import the llama 3 model to generate outputs.
Third Gen AI Project Class 2 : Loading Model and Prompt Engineering4:20
Third Gen AI Project Class 3 : Generate Output & Conclusion4:29
build a Python main function that collects subject, recipient, tone, and purpose to generate and print an email with a gen email function.

Fourth Gen AI Project Class 1 : Setting Up Environment & Installing Model2:36
Fourth Gen AI Project Class 2 : Loading Model and Prompt Engineering3:02
Fourth Gen AI Project Class 3 : Generate Output & Conclusion8:26
Demonstrates loading a pre-trained stable diffusion model, configuring data type and device, enabling attention, prompting the model to generate and save an image (sample.png) with an apple example.

Sixth Gen AI Project Class 1 : Setting Up Environment & Installing Model6:13
Sixth Gen AI Project Class 2 : Loading Model2:32
Learn to read a pdf from a file path using a pdf reader package, extract text from each page, and assemble it into a final text output.
Sixth Gen AI Project Class 3 : Prompt Engineering5:25
Analyze resumes against job descriptions to predict ATS scores using a structured prompt, extracting keywords, strengths, weaknesses, and actionable suggestions to improve resume performance.
Sixth Gen AI Project Class 3 : Generate Output & Conclusion4:10

Seventh Gen AI Project Class 1 : Setting Up Environment & Installing Model6:15
Install and configure Ollama, download the lama3 model, and run a localhost 11434 server to build a YouTube video summarizer that processes transcripts via the transcript API.
Seventh Gen AI Project Class 2 : Extract Video ID2:36
Seventh Gen AI Project Class 3 : Get Transcript Video ID2:35
Seventh Gen AI Project Class 4 : Loading Model and Prompt Engineering3:39
Seventh Gen AI Project Class 5 : Generate Output & Conclusion3:21

Eighth Gen AI Project Class 1 : Setting Up Environment & Installing Model5:34
Eighth Gen AI Project Class 2 : Loading Model3:39
Explore loading a model by fetching website content with the beautiful soap package, removing script and style tags, extracting text, capping at 3000 characters, and handling errors.
Eighth Gen AI Project Class 3 : Prompt Engineering3:06
Explore prompt engineering to summarize website content using a sum website function and prompts for the model, returning a JSON summary.
Eighth Gen AI Project Class 4 : Generate Output & Conclusion4:18
COMPLETE NINTH PROJECT FULL CODE7:19

RAG QWEN Project Class 1 : Setting Up Environment & Installing Model7:51
Set up a drag pdf chatbot project using the Gwen model to summarize a sample pdf, introduce rag for source content, and configure a python app with olama.
RAG QWEN PROJECT CLASS 2 : LOAD PDF2:19
RAG QWEN PROJECT CLASS 3 : SPLIT TEXT2:12
RAG QWEN PROJECT CLASS 4 : CONVERT TEXT TO EMBEDDINGS2:36
RAG QWEN PROJECT CLASS 5 : EMBEDDINGS COMPLETE2:35
RAG QWEN PROJECT CLASS 6 : CREATE VECTOR DATABASE3:48
Create a vector database to store embeddings from chunks and enable fast search with Faiss by building a l2 index, converting embeddings to a NumPy float32 array, and adding them.
RAG QWEN PROJECT CLASS 7 : SEARCH USING FAISS LIBRARY3:01
RAG QWEN PROJECT CLASS 8 : PROMPT3:23
RAG QWEN PROJECT CLASS 9 : OUTPUT & CONCLUSION7:11
Learn to build a pdf chatbot using rag: load a pdf, split text into chunks, create a vector database, and answer queries via a Gwen llm.

Requirements

Willingness to learn and build

Description

Are you ready to become a Generative AI expert by building real-world projects in just 10 days?

This hands-on course, “10 Days 10 Generative AI Projects: Zero to Gen AI Hero,” is designed to help you master Generative AI, AI tools, and modern AI models by actually building powerful applications—one project per day.

Instead of just theory, this course focuses on learning by doing, making it perfect for beginners, developers, students, and professionals who want to gain practical experience in Generative AI projects.

Throughout this course, you will work with cutting-edge technologies like Ollama, Large Language Models (LLMs), prompt engineering techniques, and AI-powered tools to create real-world applications such as AI chatbots, content generators, image generation tools, and automation systems.

What is Generative AI?

Generative AI (Gen AI) is a type of artificial intelligence that can create new content such as text, images, code, audio, and videos. Instead of just analyzing data, it can generate completely new outputs based on user input.

Popular examples of Generative AI include:

AI chatbots like ChatGPT
Image generation tools
Code generation systems
AI content creators

Generative AI uses advanced models like Large Language Models (LLMs) and deep learning techniques to understand and generate human-like responses.

Why This Course?

Generative AI is one of the fastest-growing technologies in the world. Companies are actively looking for developers who can build AI-powered applications and automation systems.

This course helps you:

Learn Generative AI Project from scratch
Build portfolio-ready projects
Gain real-world AI development skills
Stand out in AI job interviews

This course focuses on learning by doing, making it perfect for beginners and developers who want to gain practical experience in Generative AI projects.

You will not just learn theory—you will actually build AI applications, which is exactly what companies are looking for today.

Who this course is for:

Beginners interested in Generative AI
Developers who want to build AI projects

10 Days 10 Generative AI Projects : Zero to Gen AI Hero

What you'll learn

Explore related topics

Course content

First Gen AI Project : 10 Days 10 Generative AI Projects: Zero to Gen AI Hero4 lectures • 15min

Second Gen AI Project : 10 Days 10 Generative AI Projects: Zero to Gen AI Hero3 lectures • 18min

Third Gen AI Project : 10 Days 10 Generative AI Projects: Zero to Gen AI Hero3 lectures • 14min

Fourth Gen AI Project : 10 Days 10 Generative AI Projects: Zero to Gen AI Hero3 lectures • 14min

Fifth Gen AI Project : 10 Days 10 Generative AI Projects: Zero to Gen AI Hero3 lectures • 14min

Sixth Gen AI Project : 10 Days 10 Generative AI Projects: Zero to Gen AI Hero4 lectures • 18min

Seventh Gen AI Project : 10 Days 10 Generative AI Projects: Zero to Gen AI Hero5 lectures • 18min

Eighth & Ninth Gen AI Project : 10 Days 10 Generative AI Projects5 lectures • 24min

Tenth Final Gen AI Project : Complete RAG PDF Chatbot Using Qwen Model9 lectures • 35min

Requirements

Description

Who this course is for: