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Here are some LinkedIn courses to learn AI for free:
- What is Generative AI: https://lnkd.in/dkiEdzUp
- to Prompt Engineering: https://lnkd.in/dkiEdzUp
- Generative AI: The Evolution of Thoughtful Online Search: https://lnkd.in/dFnzC4Cc
- to AI: https://lnkd.in/d7Kw9g45
- Get Ready For Generative AI: https://lnkd.in/dY_8hSa5
- AI for Business Leaders: https://lnkd.in/dN82zKjH
- Tips For Using ChatGPT For Business: https://lnkd.in/dPmb_f92
- NLP With Python for ML: https://lnkd.in/dKfy3Nnm
- Research and Write Using Generative AI Tools: https://lnkd.in/djG_ctUz
Microsoft also offers a free beginner course for building AI agents:
Microsoft AI Agents Course
You Should Know:
Hands-on AI Learning with Python & Linux Commands
To complement these courses, here are some practical commands and scripts to experiment with AI:
1. Setting Up Python for AI
Install Python & pip sudo apt update && sudo apt install python3 python3-pip -y Install essential AI libraries pip3 install numpy pandas tensorflow scikit-learn transformers
2. Running a Simple AI Model (Python)
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
Load dataset
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2)
Train model
model = RandomForestClassifier()
model.fit(X_train, y_train)
Test accuracy
print("Accuracy:", model.score(X_test, y_test))
3. Using OpenAI’s GPT with API (Linux)
Install OpenAI Python library
pip3 install openai
Run a GPT query via Python
echo '
import openai
openai.api_key = "YOUR_API_KEY"
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Explain AI in simple terms"}]
)
print(response.choices[bash].message.content)
' > gpt_query.py && python3 gpt_query.py
4. Automating AI Tasks with Bash
Schedule an AI script to run daily (crontab -l 2>/dev/null; echo "0 3 /usr/bin/python3 /path/to/your/ai_script.py") | crontab -
5. Monitoring AI Processes
Check GPU usage (for deep learning) nvidia-smi Monitor CPU/Memory htop
What Undercode Say:
AI is rapidly evolving, and free courses like these provide a strong foundation. However, hands-on practice is crucial. Experiment with Python scripts, automate tasks using Linux commands, and explore cloud-based AI solutions like Microsoft’s AI Agents. The future of AI is open-source collaboration, so contributing to AI projects on GitHub can further enhance your skills.
Prediction:
AI education will become even more accessible, with interactive AI labs replacing traditional courses. Expect more real-time AI coding environments integrated into learning platforms.
Expected Output:
- AI learning made free via LinkedIn & Microsoft.
- Practical Python & Linux commands for AI experimentation.
- Future trends: More hands-on AI labs and open-source contributions.
IT/Security Reporter URL:
Reported By: Khizer Abbas – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
