Google, Harvard, and More Offering FREE AI Courses in 2024

By /

Listen to this Post

Here are 8 FREE courses to master AI in 2024:

1. Google AI Courses

Google offers 5 different courses to learn generative AI from the ground up.
🦾 Google AI Courses

2. Microsoft AI Course

Microsoft offers an AI course covering basics to advanced topics like neural networks and deep learning.
🦾 Microsoft AI Course

3. to AI with Python by Harvard University

A 7-week course exploring AI concepts and algorithms, including machine learning libraries.
🦾 Harvard AI Course

4. Prompt Engineering for ChatGPT by Vanderbilt University

A 6-module course teaching effective prompting techniques for ChatGPT.
🦾 Vanderbilt Prompt Engineering

  1. ChatGPT Prompt Engineering for Devs by OpenAI and DeepLearning
    A course by Isa Fulford and Andrew Ng focusing on best practices for prompt engineering.
    🦾 OpenAI Prompt Engineering

6. LLMOps by Google Cloud and DeepLearning

A course on the LLMOps pipeline, including pre-processing, training, and deploying custom LLMs.
🦾 LLMOps Course

  1. Big Data, Artificial Intelligence, and Ethics by UC Davis
    A 4-module course covering big data, AI ethics, and IBM’s Watson.
    🦾 UC Davis AI Course

8. AI Applications and Prompt Engineering by edX

An introductory course on prompt engineering and creating AI applications.
🦾 edX AI Course

You Should Know:

Here are some practical commands and codes to get started with AI and machine learning:

1. Python for AI

Install Python libraries for AI:

pip install numpy pandas scikit-learn tensorflow keras

2. Basic TensorFlow Command

Create a simple neural network:

import tensorflow as tf 
model = tf.keras.Sequential([ 
tf.keras.layers.Dense(128, activation='relu'), 
tf.keras.layers.Dense(10, activation='softmax') 
]) 
model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])

3. Linux Command for AI Workflow

Monitor GPU usage for AI training:

nvidia-smi

4. Windows Command for Python Setup

Set up a Python virtual environment:

[cmd]
python -m venv ai_env
ai_env\Scripts\activate
[/cmd]

5. Docker for AI Deployment

Run a TensorFlow container:

docker run -it tensorflow/tensorflow:latest-gpu

What Undercode Say:

The democratization of AI education through free courses is a game-changer for tech enthusiasts and professionals. These resources, combined with hands-on practice using tools like Python, TensorFlow, and Docker, can significantly enhance your AI skills. Whether you’re a beginner or an experienced developer, these courses provide a solid foundation to explore the rapidly evolving field of AI. Dive in, experiment with the commands provided, and leverage these free resources to stay ahead in the AI revolution.

For further exploration, visit the course links above and start your AI journey today!

References:

Reported By: Paul Storm – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅Featured Image

Related Posts: