AI-EDUCATN.AE1
AI and the Future of Education
Learn how to develop effective, efficient, personalized learning products and environments using artificial intelligence in education.
- Practice in 12 Hands-On Labs — nothing to install
- 12 Interactive Lessons and 53 topics mapped to the official exam objectives
- 196 Practice Test Questions and 1 Full Length Tests
Intermediate Self-paced · 1 year access
12 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
12Interactive Lessons
53Topics
12LiveLab
196Practice Test Questions
36Flashcards
36Glossary of terms
01 / Skills you'll get
What you will be able to do
Try Free →
No credit card required
In our AI in education course, you’ll discover the groundbreaking AI's impact on the education industry. We’ll walk you through Generative AI, personalized learning, intelligent tutoring systems, and AI-powered assessment tools. Discover how you can leverage AI development in education to enhance student engagement, improve learning outcomes, and prepare educational institutions for AI-powered learning.
- Learn Generative AI algorithms, machine learning models, and natural language processing and their application in the education sector.
- Integrate AI tools such as intelligent tutoring systems, adaptive learning platforms, and automated grading systems into teaching practices
- Develop personalized learning curricula using techniques like Generative AI, knowledge tracing, student modeling, and adaptive testing
- Use data mining, data visualization, and predictive analytics to inform teaching decisions and improve student outcomes
- Prepare students for careers in AI-related fields by teaching computational thinking, problem-solving, and data literacy skills
- Address ethical concerns related to AI bias, privacy, and accountability in education
Course Highlights
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12 Structured Lessons Comprehensive coverage of core course objectives
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12 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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196 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
12 Interactive Lessons · 53 topics01 Introduction 3 topics +
- Who This Course Is For?
- What This Course Covers?
- To Get The Most Out Of This Course
02 Embracing AI in Education 3 topics +
- Opportunities And Challenges: AI In The Classroom
- Sustainable AI Integration Strategies
- Conclusion
03 Defining AI 4 topics +
- Fundamentals Of AI And Machine Learning
- Exploring Generative AI
- Effective Prompt Writing For Teachers
- Conclusion
04 Reframing Education in the Age of AI 5 topics +
- Preparing Students For The AI‐Driven Workforce
- Developing AI Literacy And Computational Thinking
- Fostering A Growth Mindset And Lifelong Learning Culture
- Cultivating Creativity And Innovation Skills In The AI Era
- Conclusion
05 Adapting Pedagogy for AI Integration 8 topics +
- Learning Theories In The AI Era: Constructivist, Behaviorist, And Sociocultural Approaches
- Active Learning And AI: Transforming The Classroom Experience
- Problem‐ And Project‐Based Learning Strategies With AI
- Bloom'S Taxonomy And Critical Thinking Skills In The AI‐Enhanced Classroom
- Differentiated Instruction: AI‐Generated Customized Activities
- Fostering Collaboration And Relationship‐Building Through AI Integration
- Inquiry‐Based Learning And AI: Encouraging Student‐Centered Exploration
- Conclusion
06 Using AI in Curriculum Development 7 topics · 6 LiveLab +
- Lesson Planning And Curricular Design
- Creating Learning Assets
- Formative Activities: Generated Worksheets, Games, And More
- Summative Assessments: Quizzes, Rubrics, And Performance Tasks
- Implications For Special Education, Ell, And Inclusive Classrooms
- Distance And Remote Education
- Conclusion
6 LiveLab in this lesson — see the labs panel →
07 Automating Administrative Tasks 4 topics · 3 LiveLab +
- Streamlining Communication And Scheduling
- AI‐Enhanced Feedback And Grading
- Optimizing Paperwork And Recordkeeping Tasks
- Conclusion
3 LiveLab in this lesson — see the labs panel →
08 Boosting Engagement and Motivation 6 topics · 1 LiveLab +
- Intelligent Tutoring Systems
- Personalized Learning Pathways
- Gamification And Learning Experiences
- Debates And Discussions
- Executive Functioning And Social‐Emotional Learning
- Conclusion
1 LiveLab in this lesson — see the labs panel →
09 Teaching Students about AI 5 topics · 2 LiveLab +
- Responsible And Ethical Use Of AI
- Digital Citizenship In The AI Era
- Refining And Iterating On AI‐Generated Content
- Addressing AI‐Related Misinformation And Bias
- Conclusion
2 LiveLab in this lesson — see the labs panel →
10 Ethical Considerations for AI in Education 4 topics +
- Reducing, Not Expanding, The Achievement Gap
- Addressing The Digital Divide And Ensuring Access
- Protecting Student Privacy And Data Security
- Conclusion
11 Teacher Professional Development in the AI Era 4 topics +
- The Importance Of Continued Adaptation And Growth
- Essential AI Competencies For Educators
- Leveraging AI For Personal And Professional Development
- Conclusion
12 Adapting and Growing with AI in Education +
Hands-On Labs Our edge
12 LiveLabs- Prompt for Generating Lesson Planning and Curricular Design
- Prompt for Generating Presentation Content
- Prompt for Generating Questions
- Prompt to Compose an Essay
- Prompt for the Content Modification
- Prompt for Creating a 5-minute YouTube Video Scr...t Universal Design for Learning Principles (UDL)
- Prompt to Draft an Email
- Prompt to Compose a Detailed Critique
- Prompt for Generating an Announcement for a School Event Celebrating International Cultural Day
- Prompt for Writing a Speech
- Prompt for Generating a Set of Guidelines for Employees on Cybersecurity Best Practices
- Prompt to Write a 100-word Speech Addressing the... of Promoting Mental Health Awareness in Schools
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
What is the “AI in Education” course about? +
This course focuses on generative AI (popularized by the rapid adoption of ChatGPT, Gemini, CoPilot, and more) and how it can help teachers and decision-makers in the education sector to automate workflow and increase student performance. It showcases how educators, instructional designers, and developers can build and develop smart tools and platforms.
How can AI improve student outcomes? +
AI can improve student outcomes by providing automated learning experiences, adapting to individual needs, and offering immediate feedback. It can lead to increased engagement, motivation, and academic achievement.
What are some ethical concerns related to AI in education?+
Ethical concerns include AI bias, privacy, and accountability. It’s important to consider how AI algorithms may perpetuate biases and ensure that student data is protected.
What are some practical examples of AI in education?+
Applications of AI in the education sector include intelligent tutoring systems, adaptive learning platforms, and automated grading systems.
Who is this course designed for?+
This course is designed for:
Teachers at all levels (elementary, middle, high school, and university)
School administrators
Curriculum developers
Instructional designers
Education technology specialists
AI Engineers
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- 1 year of full access
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No credit card required