Top 8 Free AI Courses From Microsoft, Google, Harvard, And Amazon (2025)

Artificial Intelligence (AI) is transforming industries, and leading tech giants like Microsoft, Google, Harvard, and Amazon offer free courses to help you master AI. Below are the top 8 free AI courses for 2025:

1. Microsoft – Career Essentials in Generative AI

Topics Covered:
Generative AI models
Ethical considerations
Impact of AI tools
Link: Microsoft Generative AI Course

Amazon – Generative AI Learning Plan (11 Hours)

– Courses Included:
– to Generative AI
– Planning a Generative AI Project
– Amazon Bedrock Getting Started
– Foundations of Prompt Engineering
– Building Generative AI Applications
– Link: Amazon Generative AI Course

3. Google – to Generative AI

Key Modules:
Large Language Models (LLMs)
Responsible AI principles
Link: Google Generative AI Course

4. Harvard – to AI with Python

Skills Gained:
AI basics with Python
Machine Learning (ML) project building
Link: Harvard AI Course

IBM – AI for Everyone: Master the Basics

– What You’ll Learn:
– ML, Deep Learning, Neural Networks
– AI career guidance
– Link: IBM AI Course

6. Linux Foundation – Data and AI Fundamentals

Coverage:
AI use cases across industries
AI career opportunities
Link: Linux Foundation AI Course

7. Google – Machine Learning and AI

Focus Areas:
ML model optimization
Google Cloud ML systems
Link: Google ML Course

8. ChatGPT Prompt Engineering for Developers

Key Takeaways:
Custom chatbot development
OpenAI API prompt engineering
Link: ChatGPT Prompt Engineering Course

You Should Know: Essential AI & Linux Commands

To complement these courses, here are key commands and tools for AI development:

Linux Commands for AI Workflows


<h1>Install Python & AI Libraries</h1>

sudo apt update && sudo apt install python3 python3-pip 
pip3 install tensorflow keras scikit-learn pandas numpy

<h1>GPU Acceleration (NVIDIA)</h1>

nvidia-smi # Check GPU status 
sudo apt install nvidia-cuda-toolkit # Install CUDA

<h1>Jupyter Notebook Setup</h1>

pip3 install jupyter 
jupyter notebook --ip=0.0.0.0 --allow-root

<h1>Clone AI Repositories</h1>

git clone https://github.com/openai/gpt-3

Windows AI Development (WSL + Linux)

wsl --install # Enable Windows Subsystem for Linux 
wsl --update

AI Model Training (Python)

import tensorflow as tf 
model = tf.keras.Sequential([tf.keras.layers.Dense(units=1, input_shape=[1])]) 
model.compile(optimizer='sgd', loss='mean_squared_error')

What Undercode Say

AI is the future, and these free courses provide a structured path to mastery. Whether you’re using Linux commands for AI model deployment or Python for neural networks, hands-on practice is crucial. Start with foundational courses like Harvard’s Python AI or Google’s Generative AI, then advance to specialized topics like prompt engineering.

Expected Output:

A structured learning path with verified AI courses, Linux/Python commands, and actionable steps to kickstart your AI journey.

(Note: Telegram/WhatsApp links and non-AI content removed.)

References:

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