The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
AI+ Learning & Development Practitioner™
AP-420
Formerly known as AI+ Learning & Development™ AI-Enhanced Learning: Where Knowledge Meets Innovation
Education Innovation: Designed for educators and trainers to leverage AI in learning
Deep Insights: Includes ML, NLP, Data Analytics, and adaptive learning strategies
Capstone Delivery: Build AI-powered learning solutions tailored to diverse needs
Ethical Education: Address ethics, data-driven instruction, and emerging trends
- High-Quality Video, E-book & Audiobook
- Modules Quizzes
- AI Mentor
- Access for Tablet & Phone
- Online Proctored Exam with One Free Retake
- Hands-on Practices
Why This Certification Matters
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Growing Demand for AI-Integrated Training Experts: Organizations are actively seeking certified experts who can integrate AI with training programs to personalize learning and improve employee performance.
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Challenges of Poor AI Integration in Training: Inadequate integration of AI in learning and development programs can lead to ineffective training, low engagement, and poor employee outcomes.
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Creating AI-Powered Learning Strategies: Certified professionals play a key role in developing AI-powered learning strategies that ensure continuous improvement, skill enhancement, and alignment.
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Career Advancement: As AI transforms the learning and development sector, this certification provides professionals with the expertise to stay ahead and take on advanced roles.
At a Glance: Course + Exam Overview
Program Name
AI+ Learning & Development Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
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Learning and Development Professionals: Enhance employee training and development strategies using AI-driven learning tools.
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Instructional Designers: Apply AI techniques to design personalized learning experiences and optimize content delivery.
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AI Specialists: Leverage AI to create innovative solutions for improving learning outcomes and enhancing educational platforms.
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HR Professionals & Organizational Development Experts: Implement AI-powered systems to analyze employee performance and optimize training programs.
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Students & New Graduates: Build essential skills in AI and learning technologies to excel in the evolving field of education and training.
Skills You'll Gain
AI-Powered Learning AnalyticsPersonalized Learning PathwaysAdaptive Learning TechnologiesAI-Driven Curriculum DesignData-Driven Instructional Strategies.
What You'll Learn
- Education Innovation: Designed for educators and trainers to leverage AI in learning
- Deep Insights: Includes ML, NLP, Data Analytics, and adaptive learning strategies
- Capstone Delivery: Build AI-powered learning solutions tailored to diverse needs
- Ethical Education: Address ethics, data-driven instruction, and emerging trends
- Course Introduction Preview
- 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
- 2.1 Introduction to Machine Learning
- 2.2 Supervised Learning
- 2.3 Unsupervised Learning
- 2.4 Reinforcement Learning
- 2.5 Machine Learning in Practice
- 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
- 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
- 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
- 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
- 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
- 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
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Tools You'll Master
Prerequisites
- A basic understanding of artificial intelligence concepts and terminologies
- Proficiency in using digital tools and platforms for educational purposes
- Familiarity with learning theories and instructional design principles
- Some experience in educational or training roles, such as teaching, content development, or instructional design
- A willingness to engage with technical subjects and apply AI technologies in the context of learning and development.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint:
- Introduction to Artificial Intelligence (AI) in Education – 15%
- Machine Learning Fundamentals – 10%
- Natural Language Processing (NLP) for Educational Content – 15%
- AI-Driven Content Creation and Curation – 15%
- Adaptive Learning Systems – 15%
- Ethics and Bias in AI for L&D – 10%
- Emerging Technologies and Future Trends – 10%
- Implementation and Best Practices – 10%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
- 1 day (live or virtual) Self-Paced: 8 hours of content
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- 8 hours of content
- Learn anywhere, anytime, with modular quizzes to track progress
Need More Flexibility?
To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!
Let's Arrange a Call9/10 of our learners achieve their learning objectives after successful completionProcess Advisors
The course gave me a clear understanding of network security concepts and practical exposure. It helped me build confidence in handling real-world security tasks.
My path to cloud architecture had its hurdles, but Fortray was there every step of the way. They provided valuable insights into cloud technologies and architectural design. With their guidance, I turned challenges into opportunities, and today, as a Cloud Architect, I help organizations leverage the cloud for their growth and success.
The path to becoming a Cybersecurity Engineer felt like decrypting an impossible algorithm—until Fortray provided the key. Their mentorship was like a robust IPS, detecting and eliminating my weaknesses while optimizing my strengths. Now, I stand as a protector in the ever-evolving IT landscape, proud to carry their legacy forward.
This course strengthened my full-stack development skills and practical understanding. I am more confident in building and managing complete web applications.
This course improved my understanding of project management methodologies and workflows. I gained practical skills to plan and execute projects effectively.
The course provided valuable hands-on experience in data analysis tools and techniques. It enhanced my ability to extract meaningful insights from data.
The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
The course helped me understand automation testing frameworks and best practices. I gained practical experience in writing and executing automated test cases.
Frequently Asked Questions
No prior AI knowledge is required. The course starts with foundational concepts and progresses to advanced topics, making it accessible to learners with varying levels of experience.
This course is ideal for educators, instructional designers, training professionals, and anyone interested in leveraging AI to enhance learning outcomes.
The capstone project allows participants to apply their learning in a practical setting, addressing genuine educational issues using AI-driven strategies, thereby enhancing their skills and credentials.
This certification equips individuals to lead AI initiatives in educational institutions, design innovative learning solutions, and contribute to the future of educational technology as AI specialists or consultants.
The skills acquired in this course are applicable across various educational sectors including K-12 education, higher education, corporate training, and any industry that focuses on learning and development.
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