AI and Data Analytics in Learning and Development Training Course

ICTI and Partners Certification

1 Week

20 hours

Classroom, In-House, Online

Price: £3500

Group discounts available. Get Registered for more details.

Get Registered!

The Imperial Corporate Training Institute presents AI and Data Analytics in Learning and Development, a practical, data-driven program designed for forward-looking organizations that want to optimize training outcomes, personalize learner journeys, and demonstrate tangible business impact. This course translates advanced AI concepts and analytics techniques into actionable strategies for designing, delivering, and evaluating learning programs at scale. Participants will learn how to harness AI to diagnose needs, tailor content, automate administrative tasks, and measure learning effectiveness with rigorous data analytics. Real-world case studies from diverse industries illuminate how to turn digital insights into smarter decisions, faster ROI, and stronger workforce performance.

Objectives

Leverage AI to understand learner needs, predict learning gaps, and customize experiences at scale
Apply data analytics to measure learning outcomes, engagement, and behavior change
Design data-informed learning architectures that optimize content, sequencing, and delivery
Implement AI-powered personalization and adaptive learning to boost retention and transfer
Automate routine L&D processes with intelligent tooling to increase efficiency
Communicate insights clearly to stakeholders with compelling dashboards and stories
Ensure ethical use of AI and data, with a focus on privacy, bias mitigation, and compliance
Create a culture of continuous improvement by leveraging analytics-driven feedback loops

Target Audience

Learning and development leaders seeking to embed AI and analytics into strategic programs
Instructional designers and developers aiming to create data-informed learning experiences
HR and talent professionals responsible for workforce development and performance improvement
Training managers coordinating enterprise-wide programs across multiple locations
Data analysts and analysts-turned-L&D professionals looking to apply analytics to learning
Chief learning officers and senior executives focused on measurable training ROI

Course Modules

Core AI concepts tailored to L&D, including machine learning basics and automation
Use cases for AI in content tagging, recommendation, and predictive analytics
Ethical considerations and privacy basics in AI-driven learning

Key metrics for learning outcomes, engagement, and performance
Data collection methods, data quality, and data governance in learning programs
Introduction to dashboards and data storytelling for stakeholders

Predictive models to identify skill gaps and training needs
AI-assisted persona development and learner segmentation
Prioritizing interventions based on potential business impact

Designing adaptive learning pathways driven by learner data
Content tagging, recommender systems, and dynamic sequencing
Balancing personalization with scalability and equity

Automating content curation, summarization, and translation for multilingual audiences
AI-assisted assessment design and feedback generation
Synchronous and asynchronous delivery enhancements powered by AI

FAQs

What practical benefits can I expect from this course?

You will gain the ability to design AI-powered personalized learning, implement analytics to measure outcomes, and demonstrate ROI to stakeholders.

Do I need a data background to take this course?

A basic understanding of data concepts helps, but the course provides foundations and practical applications for L&D professionals without requiring advanced math.

Will the course cover multiple industries and enterprise contexts?

Yes, the modules are designed to be adaptable across industries and scalable for large organizations with diverse learning needs.

What formats and tools will be used?

The program combines online learning, hands-on analytics exercises, case studies, and collaborative workshops using industry-standard analytics dashboards and AI tooling.

How will the course support ongoing impact after completion?

Participants leave with a data-driven playbook, a capstone project, and a blueprint for integrating AI and analytics into their L&D ecosystem.

Course Dates

Availiable Dates

Place

April 6, 2026

August 3, 2026

December 7, 2026

Register

Course:

Place:

Category:

Course Date:

Language:

Duration:

Number of Attendees:

Participant Type:

Full Name

Job Title

Phone

Mobile

Company

Address