Artificial Intelligence (AI) and Machine Learning (ML) are no longer the stuff of science fiction; they are now integrated into many aspects of our daily lives, from smartphone applications to online algorithms that influence our decisions. This burgeoning field is becoming increasingly crucial for everyone to understand, not just those with a technical background. Thankfully, several free online courses are available to help non-technical individuals gain a solid understanding of AI. In this blog, we will explore eight such courses, and answer some common questions about them.
The Introduction to Generative AI course by Google is a microlearning course designed to provide a concise overview of generative AI (GenAI). This course includes a 22-minute video along with approximately half an hour of reading materials. Upon completion, participants can take a quiz to earn a certificate that can be showcased on LinkedIn.
Google AI Essentials offers a more comprehensive overview of AI fundamentals and their applications in everyday life. The course requires around 10 hours to complete, making it suitable for those seeking a deeper understanding of AI.
IBM's Introduction to Artificial Intelligence (AI) course covers a broad range of AI topics. These include deep learning, neural networks, natural language processing (NLP), computer vision, and AI ethics. This course is ideal for learners who want to gain a well-rounded understanding of AI technologies.
The Generative AI: Introduction and Applications course is perfect for anyone interested in the real-world applications of generative AI. This course covers the use of generative AI in generating text, code, images, audio, and video. It serves as an excellent entry point for professionals, students, and enthusiasts alike.
This hands-on course titled Building AI-Powered Chatbots Without Programming teaches participants how to create AI-powered chatbots without requiring any coding knowledge. Completing the course and passing the final exam awards participants with a certificate of completion.
The Generative AI: Prompt Engineering Basics by IBM course is designed for individuals with a foundational understanding of generative AI. This seven-hour course delves into prompt engineering techniques used by professional prompt engineers to generate precise AI outputs.
Available on LinkedIn Learning, Build Your Generative AI Productivity Skills with Microsoft and LinkedIn focuses on using generative AI to enhance productivity. The course covers basic prompt engineering skills and practical applications like creating PowerPoint presentations and Excel spreadsheets.
The Career Essentials in Generative AI by Microsoft and LinkedIn course combines introductory AI knowledge with practical tutorials on using AI for professional tasks, particularly with Microsoft's Copilot AI. The skills learned in this course are versatile and applicable to various AI tools.
The Generative AI: Prompt Engineering Basics by IBM course equips learners with the skills needed to execute prompt engineering techniques. Participants learn how to design and craft prompts that lead to precise and useful AI-generated outputs. This knowledge is especially useful for those looking to specialize in AI prompt engineering, a critical aspect of generative AI applications.
In a professional setting, the Build Your Generative AI Productivity Skills with Microsoft and LinkedIn course can significantly enhance productivity. The course covers practical applications, such as using generative AI to create PowerPoint presentations and Excel spreadsheets, allowing professionals to automate repetitive tasks and focus on higher-value activities. These skills can be directly applied to improve efficiency in roles like data analysis, project management, and content creation.
The main difference between the two courses lies in their focus areas. Google's Introduction to Generative AI is a microlearning course that provides a concise overview of generative AI, focusing on its basic concepts and applications in generating text, images, audio, and video. On the other hand, IBM's Introduction to Artificial Intelligence (AI) offers a broader and more in-depth exploration of various AI technologies. It covers a wide range of topics, including deep learning, neural networks, NLP, computer vision, and AI ethics, making it suitable for learners seeking a comprehensive understanding of AI.
These eight free online AI courses provide valuable resources for anyone at the beginning of their AI journey or those looking to enhance their existing knowledge. From understanding the basics of generative AI to applying AI in practical scenarios, these courses can help individuals stay competitive in an increasingly AI-driven world. By taking advantage of these free educational opportunities, non-technical people can effectively bridge the gap and join the AI revolution.
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