The Best 8 Free AI Courses

Master AI in 2024 with These 8 Free Courses Curated by Mind University

As the field of Artificial Intelligence (AI) continues to expand, staying ahead in the game and having the latest knowledge as well as skills is essential to be successful. At Mind University, we are helping everyone navigate this exciting topic and have curated a list of 8 best FREE AI courses that will equip you with a robust understanding and practical skills in AI. Regardless of your expertise, we think these courses are a perfect start.

Read until the end to find a bonus AI tool sheet.

1. Google AI Courses Designed to Teach You AI from the Ground Up.

Google offers a comprehensive set of five courses designed to teach you generative AI from the ground up. These courses start with an Introduction to AI, guiding you through the fundamentals, and gradually delve into more complex topics, ensuring a well-rounded understanding of AI. It is designed to explain what Generative AI is, how it is utilized, and how it differs from traditional machine learning methods. Additionally, they include coverage of Google Tools to assist you in developing your own Generative AI application. Enter the innovation world with Google AI Courses.

2. Microsoft AI Course Made for Beginners

Microsoft's AI course begins with the basics and progressively covers advanced topics like neural networks and deep learning which form the foundation of modern AI. These courses will explain the key concepts behind these crucial topics using code examples in two of the most popular frameworks: TensorFlow and PyTorch. It is ideal for those who want a thorough understanding of AI, from introductory concepts to in-depth technical knowledge. Get started with Microsoft AI Course.

3. Introduction to AI with Python

Harvard University offers a seven-week course that explores AI concepts and algorithms that underpin modern artificial intelligence, examining the principles that power technologies such as game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, you will be introduced to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other AI topics, integrating these elements into their own Python programs. By the end of the course, you will gain practical experience with machine learning libraries and a solid understanding of AI principles, equipping you to design your own intelligent systems. Start learning AI with Python.

4. Prompt Engineering for ChatGPT

A six-module course for beginners on prompt engineering. This course will teach you effective prompting techniques, enabling you to craft better prompts and fully leverage ChatGPT’s capabilities. Also, you will discover how to develop intricate prompt-based applications tailored for personal, business, or educational use, and learn to utilize prompt patterns to unlock the powerful capabilities of large language models. Dive deep into Prompt Engineering for ChatGPT.

5. ChatGPT Prompt Engineering for Devs

Offered by OpenAI in collaboration with DeepLearning, this course is taught by Isa Fulford and Andrew Ng. It focuses on best practices in prompt engineering, providing hands-on practice to improve your skills in creating effective prompts. You will learn how to utilize a large language model (LLM) to rapidly develop innovative and powerful applications. With the OpenAI API, you’ll be able to create features that learn to innovate and add value in ways that were previously too expensive, technically complex, or unfeasible. Unveil the secrets of ChatGPT Prompt Engineering for Devs.

6. Advanced Course About Large Language Model Operations and Pipeline

Google Cloud and DeepLearning present this new course taught by Erwin Huizenga. It covers the LLMOps pipeline, including pre-processing training data and adapting a supervised tuning pipeline to train and deploy custom language models. Discover best practices such as versioning your data and models, and learn how to preprocess large datasets within a data warehouse. Face the challenge with LLMOps.

7. Learn the Interplay Between Big Data, Artificial Intelligence and Ethics

A four-module course that discusses the interplay between big data and AI, introducing IBM's Watson. This course emphasizes the opportunities and ethical considerations in AI. You'll use IBM Watson’s artificial intelligence to analyze the personality traits of individuals based on their digital text traces and explore the capabilities and constraints of machine learning by training two teachable machines from Google on your own. Get the core knowledge about Big Data, Artificial Intelligence, and Ethics.

8. AI Applications and Prompt Engineering

An introductory course on prompt engineering that goes beyond the basics. It starts with a foundational knowledge of framing questions or requests to receive the best possible answer and advances to creating your own AI applications with LangChain and ChatGPT, offering a comprehensive understanding of prompt engineering. Get started with AI Applications and Prompt Engineering.

BONUS SHEET: AI Tools That Will Make Your Work Easy.

Explore a comprehensive sheet featuring AI tools designed to streamline your work. These tools can enhance efficiency, simplify tasks, and boost productivity across various applications. Discover how integrating these AI solutions can make your professional life easier.

Note: Some of them are paid or include free trials.

That's a wrap! We hope these courses will enhance your self-growth path towards AI. Start your learning journey today and master AI with these curated courses from Mind University. Create your account and follow us to get exclusive learning resources for FREE!