Machine Learning (ML) – Think “training” an AI to make predictions. (Used in trading bots, recommendations, etc.)Generative AI

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Machine Learning (ML) – Think “training” an AI to make predictions. (Used in trading bots, recommendations, etc.)Generative AI – Like ChatG

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⚙️ Step 1: Understand What AI Actually Is
AI isn’t magic — it’s just pattern recognition on steroids. It learns from data, spots trends faster than humans, and automates decisions.
There are three main flavors you’ll be dealing with:
Machine Learning (ML) – Think “training” an AI to make predictions. (Used in trading bots, recommendations, etc.)
Generative AI – Like ChatGPT or Midjourney; it creates text, code, or images.
Automation AI – Uses rules + ML to perform actions automatically (Zapier, n8n, AutoGPT, etc.).
💸 Step 2: Using AI in Trading
AI trading isn’t new — hedge funds have been doing it for decades. But now you can do it too.
Here’s the stack you’d look at:
Data Source – Pull data from APIs (like Binance, Alpha Vantage, or Polygon.io).
Model – Use AI to find signals. Common tools:
Python + TensorFlow/PyTorch → train models that predict price movement.
GPTs → analyze news sentiment.
Execution – Automate trades using APIs (like Binance or Alpaca).
Testing – Backtest with historical data before going live.
If you want plug-and-play options, try:
Koyfin, TrendSpider, or Trade-Ideas for AI-driven analysis.
Composer or Stoic.ai if you want “autopilot” portfolios.
(Pro tip: the real edge isn’t in fancy models — it’s in feeding your AI clean, unique data.)
📱 Step 3: Using AI to Build Apps
This is where things get fun. You don’t even need to code hardcore anymore.
No-code builders: Glide, Bubble, or Adalo → use AI APIs like OpenAI, HuggingFace, or Replicate to add brains.
AI dev tools: Replit Ghostwriter, GitHub Copilot, or ChatGPT’s code interpreter to write real code fast.
Frameworks (if coding):
Python/Flask or FastAPI for backend.
React or Next.js for frontend.
Firebase or Supabase for hosting & data.
Hook it all together with AI APIs (like OpenAI, Anthropic, or Stability AI).
🚀 Step 4: Learn by Doing (Don’t Just Watch YouTube)
The fastest way to master AI is to build real stuff:
Create a sentiment analyzer that trades crypto based on tweets.
Build an AI app that generates marketing copy for clients.
Automate your own work — make an AI that handles your emails or schedules.
📚 Step 5: Resources That’ll Level You Up
Learn ML basics: fast.ai or Google’s ML Crash Course.
Build AI apps: freeCodeCamp or YouTube’s “Code with Tomi” / “Nicholas Renotte.”
Trading AI: Check out “Algorithmic Trading with Python” by QuantInsti.
No-code AI apps: Buildspace or FlowiseAI.

Extra information

laptap

Location

Online from Belgium

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

45 minutes

60 minutes

90 minutes

The class is taught in

Dutch

English

Persian

Skills

Digital arts

Computer programming

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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