8 Free Google AI Courses That Beginners Can Try To Boost Their AI Skills
Google is offering a host of free AI courses in 2025 to help learners worldwide upskill in artificial intelligence. These beginner-friendly courses are available online and aim to empower individuals with foundational and practical AI knowledge across various domains. With tech companies now urging employees to become 'AI sound', these courses could be a great starting point.

Google lists a host of free AI courses as part of its ongoing efforts to make artificial intelligence education accessible globally. Available through online platforms, these courses aim to equip individuals with the essential knowledge and skills required to understand and work with AI technologies. With tech companies now urging employees to become 'AI sound', these courses could be a great starting point.
The initiative is part of Google’s broader push to promote digital literacy and help users, professionals, and developers adapt to the evolving technology landscape. These self-paced courses are suited for beginners and are designed to simplify complex AI concepts using real-world examples and interactive content.
The courses currently available include:
Introduction to Generative AI – This course provides a basic overview of generative AI technologies, how they work, and their use cases.
Introduction to Large Language Models (LLMs) – Learners explore the fundamentals of LLMs, their structure, and capabilities.
Introduction to Responsible AI – Focuses on building and deploying AI responsibly by addressing ethical considerations and bias mitigation.
Prompt Design in Vertex AI – Focuses on prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, and guide generative AI output.
Introduction to Image Generation – Covers AI techniques that create images using prompts, such as diffusion and GAN models.
Encoder-Decoder Architecture – Explains how encoder-decoder models work in tasks like language translation and summarization.
Attention Mechanism – A detailed look at how attention mechanisms enhance the performance of AI models.
Transformer Models and BERT – Introduces one of the most widely used model architectures, focusing on BERT and its NLP applications.
The courses are hosted on Google's learning platform and accessible to anyone with an internet connection. Most include video content, quizzes, and reading materials to reinforce understanding. Upon completion, participants can earn completion badges or certificates, depending on the course.
These courses are expected to benefit students, professionals, educators, and anyone interested in entering the AI field.
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