2025 is shaping up to be a landmark year for artificial intelligence, with groundbreaking advancements on the horizon. Among the most anticipated developments are autonomous AI agents capable of making decisions independently. To help you stay ahead of the curve, we’ve curated a list of 6 free AI online courses accessible to everyone—whether you’re a beginner, a seasoned user, or a developer.
These courses cover a wide range of topics, from crafting effective prompts for ChatGPT to mastering advanced agent systems.
They are led by renowned experts from prestigious institutions and companies like Harvard, OpenAI, Google, and NVIDIA. Notably, NVIDIA has recently made all its AI courses free to access.
Whether you’re looking to enhance your professional skill set or explore the fascinating world of AI, these resources offer an invaluable opportunity to expand your knowledge in 2025.
1/ AI for Beginners
This 12-week, 24-lesson training program will introduce you to the entire world of AI. You’ll dive into foundational concepts such as Neural Networks and Deep Learning, working hands-on with tools like TensorFlow and PyTorch.
In addition, you’ll explore advanced topics like AI agents, Multi-Agent Systems, and the critical field of AI ethics. This course offers a comprehensive journey into the essential theories and practical applications of artificial intelligence.
Click here to enroll
2/ AI Applications and Prompt Engineering
This one-week course will teach you how to create AI applications using prompt engineering. By the end, you’ll be able to build an AI-powered API application. However, you will need to use ChatGPT’s API, which requires a paid subscription to OpenAI’s services. The course itself, offered on the edX platform, remains free of charge.
Click here to enroll.
3/ ChatGPT Prompt Engineering for Developers
In this 1.5-hour training consisting of 9 video lessons, you will learn how to leverage a large language model (LLM) to rapidly develop powerful applications using the OpenAI API. Taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), the course also covers techniques for crafting effective prompts and creating a custom chatbot.
Click here to enroll.
4/ Generative AI Explained
In this no-coding course offered by NVIDIA, you will explore the concepts and applications of Generative AI. Generative AI utilizes neural networks to analyze patterns and structures within existing data to create new content. In just 2 hours, you will gain a solid understanding of the fundamentals and learn how to effectively use the tools derived from this innovative technology.
Click here to enroll
5/ Creating LLMOps Pipelines
This 1-hour-and-21-minute course, comprising six video lessons, is taught by Erwin Huizenga, Developer Advocate for Generative AI on Google Cloud. The course focuses on teaching you how to create LLMOps pipelines. “Large Language Model Operations” (LLMOps) refers to specialized workflows designed to 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 (requiring 10–30 hours per week) is dedicated to teaching machine learning in Python. Offered online by Harvard, the course provides insights into key AI concepts such as graph search algorithms, knowledge representation, Bayesian networks, and natural language processing.
Click here to enroll.
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