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The year 2025 is set to become a pivotal moment for artificial intelligence, with exciting innovations on the horizon. One of the most eagerly awaited advancements is the emergence of autonomous AI agents that can make independent decisions. To ensure you remain at the forefront of this evolving landscape, we’ve compiled a list of 6 free online AI courses suitable for everyone—from novices to experienced users and developers.

These courses encompass a diverse array of subjects, ranging from the art of creating effective prompts for ChatGPT to the intricacies of advanced agent systems.

Led by esteemed experts from respected institutions and companies such as Harvard, OpenAI, Google, and NVIDIA, these resources are of high quality. Notably, NVIDIA has recently made all its AI courses available for free.

Whether you’re aiming to boost your professional expertise or delve into the captivating realm of AI, these resources present an excellent opportunity to expand your understanding in 2025.

1/ AI for Beginners

This comprehensive 12-week, 24-lesson course will immerse you in the fascinating world of AI. You’ll cover foundational topics like Neural Networks and Deep Learning while gaining hands-on experience with tools such as TensorFlow and PyTorch.

Furthermore, you’ll investigate advanced themes including AI agents, Multi-Agent Systems, and the significant area of AI ethics. This course is designed to provide a thorough exploration of both the essential theories and practical applications of artificial intelligence.

Click here to enroll.

2/ AI Applications and Prompt Engineering

In this one-week course, you’ll learn how to develop AI applications using prompt engineering. By the conclusion, you’ll possess the skills needed to create an AI-powered API application. Note that you will need a paid subscription to OpenAI’s services to access ChatGPT’s API, although the course itself is offered for free on the edX platform.

Click here to enroll.

3/ ChatGPT Prompt Engineering for Developers

This 1.5-hour training consists of 9 video lessons where you’ll discover how to utilize a large language model (LLM) to quickly develop impactful applications using the OpenAI API. Instructed by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), the course covers effective prompt crafting techniques and how to create a custom chatbot.

Click here to enroll.

4/ Generative AI Explained

This no-code course offered by NVIDIA delves into the concepts and applications of Generative AI. Through neural networks, Generative AI analyzes patterns and structures within existing data to produce new content. In just 2 hours, you’ll achieve a solid foundation and learn how to effectively harness the tools emanating from this cutting-edge technology.

Click here to enroll.

5/ Creating LLMOps Pipelines

This course, lasting 1 hour and 21 minutes and featuring six video lessons, is led by Erwin Huizenga, Developer Advocate for Generative AI at Google Cloud. The focus is on how to build LLMOps pipelines. “Large Language Model Operations” (LLMOps) pertain to specialized workflows that streamline the development, deployment, and management of AI models throughout their lifecycle.

Click here to enroll.

6/ HarvardX: CS50’s Introduction to Artificial Intelligence with Python

This 7-week course, which requires 10–30 hours of dedication per week, focuses on teaching machine learning using Python. Offered online by Harvard, it covers key AI concepts such as graph search algorithms, knowledge representation, Bayesian networks, and natural language processing.

Click here to enroll.

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