📚 Learn Step-by-Step
AI Tutorials
FROM ZERO TO EXPERT
Structured, practical tutorials that take you from AI beginner to builder. No fluff — just working knowledge you can apply today.
Learning Path
Your Structured AI Journey
Follow the path or jump straight to what you need. Each tutorial builds on the last.
01
🌱 What is Artificial Intelligence? A Complete Introduction
Understand AI, ML, and GenAI from scratch. No math required. The perfect starting point for absolute beginners.
Beginner⏱ 10 min read
02
🤖 How to Use ChatGPT Like a Pro — 20 Power Prompts
Go from basic questions to expert-level prompts. Learn role prompting, chain-of-thought, and output formatting.
Beginner⏱ 15 min read
03
🐍 Python for AI Beginners — Zero to First Program
Learn just enough Python to work with AI libraries. Variables, functions, loops, and your first OpenAI API call.
Intermediate⏱ 30 min readCode Included
04
🔌 OpenAI API Tutorial — Build Your First AI App
Connect to GPT-4 via API. Build a real chatbot with Python and Flask. Deploy to the web in one hour.
Intermediate⏱ 45 min readProject
05
🦜 LangChain Tutorial — Build AI Agents with Tools
Create multi-step AI agents that use web search, calculators, and custom tools. The future of AI development.
Advanced⏱ 60 min readProject
06
🏗️ Build a RAG System — AI That Knows Your Documents
Use vector databases and retrieval to build a private AI that answers questions about your own data.
Advanced⏱ 90 min readFull Project
Latest Tutorials
Recent Publications
Fresh, updated tutorials published weekly by AI practitioners.
Level:
📝
Prompt Engineering Masterclass: 10 Frameworks That Work
From zero-shot to chain-of-thought. Learn the prompting techniques that professional AI engineers use daily.
🐍
Build an AI Chatbot with Python + OpenAI in 1 Hour
Complete code walkthrough. Streamlit UI, conversation memory, custom system prompt — fully functional app.
🏗️
RAG System from Scratch — PDF Q&A with LangChain
Build a production-ready RAG pipeline. Chunk, embed, index, and query your documents with GPT-4.
🎨
Midjourney v6 Guide — Create Stunning AI Art
Master prompting, aspect ratios, stylize, chaos, and seed parameters for consistent, professional imagery.
🔌
OpenAI Function Calling — Build Smart AI Tools
Give your AI the ability to call external APIs, query databases, and perform real-world actions.
🤖
AutoGen Multi-Agent Framework — AI Teams That Work
Build collaborative AI agent systems where multiple models work together to solve complex tasks autonomously.
Code Sample
Taste of What You'll Build
# BuildGenAIHub Tutorial — Your First AI Chatbot
from openai import OpenAI
client = OpenAI(api_key=
"your-api-key")
def chat(message, history=[]):
history.append({
"role":
"user",
"content": message})
response = client.chat.completions.create(
model=
"gpt-4o",
messages=[{
"role":
"system",
"content":
"You are a helpful AI"}] + history,
max_tokens=
500
)
return response.choices[
0].message.content
# Run it!
print(chat(
"Explain Generative AI in simple terms"))