Artificial intelligence is reshaping education — from saving time on administrative tasks to personalizing instruction at scale. This collection of free courses covers AI fundamentals and practical applications for educators, instructional designers, and learning experience designers.
AI for Educators
Artificial intelligence is revolutionizing the education sector, offering tools and techniques that can transform teaching and learning experiences. From saving time on administrative tasks to personalizing instruction, AI’s potential in education is vast and growing.
Discover how to use generative AI tools to save time on everyday tasks, personalize instruction, and enhance lessons in creative ways — with a focus on responsible use.
What you'll learn- Save time on everyday tasks like drafting emails and correspondence
- Personalize instruction for different learning styles and abilities
- Enhance lessons and activities in creative ways
- Foundational understanding of AI, its opportunities and limitations
- Using AI responsibly in educational settings
A general introduction to AI for teachers and education professionals, covering applications, ethics, and practical integration strategies.
What you'll learn- Overview of AI, how it works, and why it matters in education
- AI-powered tools and resources for the classroom
- Ethical and social issues of AI in education
- Practical tips for AI integration and innovation
- Future trends and developments in AI for education
A hands-on course designed to help educators get started using ChatGPT to save time, engage students, and implement AI responsibly from day one.
What you'll learn- Getting started with AI and ChatGPT in an educational context
- Saving time on lesson planning and administrative tasks
- Creating engaging, personalized learning experiences
- Strategies for introducing AI to your students
AI for Instructional Design and Learning Experience Design
AI is rapidly transforming instructional design and learning experience design, offering innovative ways to create engaging and effective educational experiences.
Explores current trends, best practices, and challenges of using generative AI in educational settings — including personalization and adaptive learning.
What you'll learn- The potential of generative AI in education
- Challenges and risks associated with generative AI
- How generative AI can enable personalized and adaptive learning
A comprehensive specialization on AI's role in the learning design process — with practical strategies for using tools like ChatGPT throughout analysis, design, and assessment. Can be audited for free.
What you'll learn- AI's role as a partner in the learning design process
- Using AI tools to create educational content and assessments
- Strengths and limitations of generative AI in design workflows
Practical skills in working with generative AI for course development — designed for instructional designers and educators ready to integrate AI into their design process.
What you'll learn- Differences between LLMs, AI, and Generative AI
- Using AI to design courses and create content
- Benefits, challenges, and ethical implications of AI in education
AI in the Classroom
Shorter, practical courses for integrating AI tools directly into teaching and facilitation.
Demonstrates the intersection of AI and low-code development, showing how ChatGPT can be incorporated into GlideApps to build teaching tools.
What you'll learn- Integrating ChatGPT with GlideApps for educational applications
- Practical AI + low-code development for teaching contexts
A practical course on using ChatGPT to enhance student outcomes and reduce the administrative burden of teaching.
What you'll learn- Save time each week on administrative tasks
- Use AI for lesson planning, test questions, and student feedback
- Differentiate lessons with scaffolded activities
- Provide personalized feedback to students
Introduces educators to AI in teaching, focusing on practical applications for lesson planning, content creation, and accessibility using Canva's AI tools.
What you'll learn- Use Magic Write to generate lesson plans efficiently
- Enhance teaching materials with Magic Design and Magic Media
- Make learning content more accessible for all students
AI Courses for Beginners
New to AI? These foundational courses from Microsoft, Google, and the University of Helsinki are ideal starting points.
A beginner-level module introducing core AI concepts — from machine learning to computer vision, natural language processing, and responsible AI.
What you'll learn- Introduction to AI and machine learning
- Computer vision and natural language processing
- Generative AI and Responsible AI principles
A practical course teaching a 5-step framework for prompt design — applicable across AI tools and models, with advanced techniques for data analysis and multimodal prompting.
What you'll learn- A 5-step process for effective prompting
- Enhancing data analysis and presentations with AI
- Advanced techniques: prompt chaining and multimodal prompting
Completed by over 1 million people worldwide, this course demystifies AI — what it is, how it works, and what it can and cannot do — with no technical background required.
What you'll learn- What AI is and how it works (conceptually)
- Introduction to AI — core concepts and history
- Building AI — going deeper into AI methods and applications
Key Questions Answered
The most commonly asked questions about this topic, concisely answered.
- Yes. Several high-quality free AI courses are available, including Generative AI for Educators by Google and MIT RAISE, An Essential Guide to AI for Educators by AI for Education, Elements of AI by the University of Helsinki, and AI for Course Design on Coursera. Many are self-paced and take 1–4 hours to complete.
- AI is transforming instructional design in several ways:
- Content generation — drafting course outlines, learning objectives, and assessment questions faster
- Personalization — adapting content and pacing to individual learner needs
- Automation — handling administrative tasks like feedback and progress tracking
- Quality support — validating ideas, suggesting improvements, and checking alignment
- Generative AI refers to AI systems that can produce original content — text, images, audio, video — based on a prompt. For educators, this means being able to quickly generate lesson plans, quiz questions, explanations, differentiated activities, and learning materials. It does not replace pedagogical judgment, but it significantly reduces production time and lowers the barrier to creating varied, personalized content.
- Two excellent starting points are Generative AI for Educators (Google + MIT RAISE, 2 hours, free) and An Essential Guide to AI for Educators (AI for Education, 2 hours, free). Both are beginner-friendly, practical, and focus on real classroom applications — from saving time on lesson planning to engaging students and using AI responsibly.
- AI tools can accelerate several time-intensive tasks:
- Drafting course content, outlines, and scripts
- Writing and varying quiz questions and assessment rubrics
- Generating learner personas and scenario characters
- Summarizing research or source materials
- Responding to common learner questions via chatbots
- Translating or adapting content for different audiences
- Key ethical concerns include bias in AI outputs (reflecting biases in training data), data privacy (what learner data AI tools collect and store), academic integrity (AI-generated student work), transparency (disclosing when AI is used), and over-reliance (replacing human judgment with automated decisions). Most AI education courses include a module on responsible and ethical AI use.
- Prompt engineering is the skill of crafting clear, specific inputs to get high-quality outputs from AI tools like ChatGPT. For instructional designers, effective prompts lead to better first drafts, more relevant content suggestions, and more useful feedback. The Google Prompting Essentials course on Coursera teaches a 5-step framework for designing effective prompts applicable across different AI tools.
- The Generative AI as a Learning Design Partner Specialization by the University of Michigan (Coursera) teaches instructional designers how to use AI throughout the design process — from needs analysis and content creation to assessment design. It covers the strengths and limitations of generative AI and provides practical frameworks for human-AI collaboration in learning design. It can be audited for free.
- Elements of AI is a free, beginner-level course created by MinnaLearn and the University of Helsinki. It has been completed by over 1 million people worldwide. It demystifies AI concepts — what AI is, how it works, and what it can and cannot do — without requiring a technical background. It is an ideal starting point for educators and learning professionals who want a solid conceptual foundation before exploring AI tools.
- Yes. AI enables personalization by adapting content difficulty based on learner performance, recommending resources based on knowledge gaps, generating differentiated explanations for different learning styles, and providing immediate, tailored feedback. At the platform level, LMS and LXP tools increasingly use AI to build dynamic learning paths. Courses like Learning with AI by Eduflow Academy explore these possibilities in depth.
- AI courses for teachers focus on classroom applications — lesson planning, student engagement, differentiation, and administrative time-saving. Courses for instructional designers go deeper into the design process — using AI to create course structures, write learning objectives, build scenarios, design assessments, and streamline production workflows. The distinction is context: teachers work in real-time with learners; IDs work upstream on the design itself.
- AI in education is evolving rapidly — new tools and capabilities emerge monthly. To stay current: follow AI in education newsletters (like ISTE's AI resources and The Rundown AI), join online communities where educators share AI experiments, allocate regular time (even 30 minutes per week) to explore one new AI tool, and revisit foundational courses like Elements of AI annually to refresh your understanding of core concepts.
- No. The courses listed here are designed for educators without a technical background. They focus on practical applications — how to use AI tools effectively and responsibly — rather than programming or machine learning theory. Courses like Generative AI for Educators by Google and Elements of AI by the University of Helsinki assume no prior technical knowledge.
