7 Free Generative AI Courses Available Now for 2025

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As we step into 2025, the field of artificial intelligence continues to expand, with generative AI taking center stage. For those looking to dive into this exciting domain, numerous free generative AI courses are available online. This post highlights seven of the best free courses you can enroll in now to enhance your understanding and skills in generative AI.

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Free Generative AI Courses

About the Generative AI

Generative artificial intelligence (generative AI, GenAI, n or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. These models learn the underlying patterns and structures of their training data and use them to produce new data based on the input, which often comes in the form of natural language prompts.

Improvements in transformer-based deep neural networks, particularly large language models (LLMs), enabled an AI boom of generative AI systems in the early 2020s. These include chatbots such as ChatGPT, Copilot, Gemini, and LLaMA; text-to-image artificial intelligence image generation systems such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video AI generators such as Sora. Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu as well as numerous smaller firms have developed generative AI models.

Eligibility Criteria of Generative AI Courses

7 Free Generative AI Courses For College Students.

Here are 7 Free Generative AI Courses Available Now for 2025

1. Introduction to generative AI

This is an introductory-level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine-learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Course Link Click Here

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2. Introduction to AI with Python

This 7-week online course from Harvard University explores the concepts and algorithms at the foundation of modern AI, exploring ideas that give rise to technologies like game-playing engines, handwriting recognition and machine translation.

Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models (LLMs) and other topics in AI as they incorporate them into their own Python programs. Learning outcomes include graph search algorithms, logical inference, machine learning, neural networks and natural language processing.

Course Link Click Here

3.Generative AI for everyone

Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you’ll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI.

You’ll delve into real-world applications and learn common use cases, and get hands-on time with generative AI tools to put your knowledge into action, and gain insight into AI’s impact on both business and society.

Course Link Click Here

4. Introduction to responsible AI

This introductory level, microlearning course from Google Cloud explains what responsible AI is, why it’s important and how Google implements responsible AI in its products. It also introduces Google’s 7 AI principles. Participants will learn about the need for responsible AI practices within an organization, that decisions made at all stages of a project have an impact on responsible AI and how businesses can design AI to fit their own needs and values.

Course Link Click Here

5. Streamlining your work with Copilot

Accessible via a one-month free trial, this course explores the rise of AI chatbots, specifically Microsoft Bing Chat. Learn how Bing Chat can perform a wide variety of tasks and help to streamline workflows – from generating ideas and summarizing data to solving common work problems such as planning itineraries, scheduling and communicating with coworkers. It begins with a primer on how chat AI tools function before diving into putting them to work. By the end of the course, participants will be ready to perform robust online searches, generate ideas, compose text, automate work and fact-check results.

Course Link Click Here

6.ChatGPT Prompt Engineering for Developers

In ChatGPT Prompt Engineering for Developersyou will learn how to use a large language model (LLM) to quickly build new and powerful applications.  Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now.

This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including.

Summarizing (e.g., summarizing user reviews for brevity)

Inferring (e.g., sentiment classification, topic extraction

Transforming text (e.g., translation, spelling & grammar correction)

Expanding (e.g., automatically writing emails)

Course Link Click Here

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7.Generative AI Fundamentals

Throughout this specialization, you will complete hands-on labs and projects to help you gain practical experience with text, image, and code generation, prompt engineering tools, foundation models, AI applications, and IBM watsonx.ai.

Course Link Click Here

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