AI+ Learning and Development

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

The AI+ Learning & Development course is tailored for educators, corporate trainers, and learning specialists eager to harness the transformative power of Artificial Intelligence (AI) in educational and training environments. This course provides a deep dive into Machine Learning (ML), Natural Language Processing (NLP), and Educational Data Analytics, alongside practical applications of adaptive learning systems. By addressing ethical considerations and emerging trends, participants gain the skills to design personalized, data-driven, and AI-enhanced learning experiences. Learners will master the use of AI for content creation, adaptive instructional strategies, and data mining for educational insights, empowering them to address real-world challenges in the field of Learning and Development. Through a capstone project, attendees will develop innovative AI-powered solutions that align with diverse learner needs, ensuring impactful and scalable results in academic or corporate settings.

Recommended Prerequisites:

• Basic understanding of AI fundamentals along with key terminologies.
• Proficiency with digital tools and learning platforms for educational purposes.
• Familiarity with instructional design principles and learning theories.
• Experience in roles such as teaching, content development, or instructional design.
• A willingness to explore AI technologies and apply them effectively in learning and development scenarios.

Course Outline:

Lesson 1: Introduction to Artificial Intelligence (AI) in Education

• 1.1 Overview of Artificial Intelligence
• 1.2 AI’s Role in Education and Training
• 1.3 Impact of AI on Educational Content Creation
• 1.4 AI in Assessment and Feedback
• 1.5 Ethical Considerations and Challenges

Lesson 2: Machine Learning Fundamentals

• 2.1 Introduction to Machine Learning
• 2.2 Supervised Learning
• 2.3 Unsupervised Learning
• 2.4 Reinforcement Learning
• 2.5 Machine Learning in Practice

Lesson 3: Natural Language Processing (NLP) for Educational Content

• 3.1 Fundamentals of NLP in Education
• 3.2 Content Analysis and Enhancement
• 3.3 Personalized Learning and Adaptive Content
• 3.4 Assessment and Feedback Automation

Lesson 4: AI-Driven Content Creation and Curation

• 4.1 AI in Generating Educational Content
• 4.2 Adaptive Learning Materials Creation
• 4.3 Dynamic Assessment Item Generation
• 4.4 Curating Educational Resources
• 4.5 Challenges and Ethical Considerations in AI-Driven Content

Lesson 5: Adaptive Learning Systems

• 5.1 Foundations of Adaptive Learning
• 5.2 Designing Adaptive Learning Systems
• 5.3 Implementation Strategies
• 5.4 Assessment and Evaluation in Adaptive Systems
• 5.5 Ethical and Privacy Considerations

Lesson 6: Ethics and Bias in AI for L&D

• 6.1 Understanding AI Ethics in L&D
• 6.2 Privacy Concerns in AI-Driven L&D
• 6.3 Bias and Fairness in AI Assessments
• 6.4 Ethical AI Use and Learner Engagement
• 6.5 Future Challenges and Opportunities

Lesson 7: Emerging Technologies and Future Trends

• 7.1 Augmented Reality (AR) in Education
• 7.2 Virtual Reality (VR) in Learning Environments
• 7.3 AI-Driven Personalized Learning
• 7.4 Blockchain in Education
• 7.5 Emerging AI Technologies in Educational Research and Development

Lesson 8: Implementation and Best Practices

• 8.1 Strategic Planning for AI Integration
• 8.2 Selecting the Right AI Tools
• 8.3 Implementing AI Solutions
• 8.4 Monitoring and Evaluating Impact
• 8.5 Ethical Use and Data Governance

Optional Lesson: AI Agents for Learning & Development

• Understanding AI Agents
• Case Studies
• Hands-On Practice with AI Agents

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.