Training for the Future: AI in Corporate Training Courses

Name: Leveraging AI for Competency Training & Skills Development
Availability: InStock

Inspired by Artificial Intelligence and the Future of Teaching and Learning

Training for the Future: AI in Corporate Training Courses

At a glance

Duration: 1 Week
Format: Classroom
Cities: New York, San Diego, Doha, Vienna, Tbilisi, Abu Dhabi and more
Next session: 26 – 30 October 2026, New York
Average fee: 5,750 €

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Leveraging AI for Competency Training & Skills Development

Artificial Intelligence and the Future of Training Overview

Artificial Intelligence (AI) is revolutionizing various aspects of corporate environments, especially in the domain of in house training. Our Artificial Intelligence and the Future of Training course aims to leverage AI to transform management training and equip training providers with state-of-the-art techniques. This course is part of our suite of corporate training courses designed to address the evolving landscape of training development and training management. We consider the process of training needs analysis, analyzing training needs, and understanding what are training needs as crucial aspects of our course design. This course equips trainers for training the trainer course, focusing on competency training while addressing audit training needs.

Target Audience

Training Managers
In-House Training Coordinators
HR Managers
Professionals involved in the training & development process
Individuals seeking to understand the process of training needs analysis
Professionals aiming to improve their skills training methods.

Targeted Organizational Departments

Training department
Human resources department

Targeted Industries

Information Technology
Manufacturing
Healthcare
Retail

Course Offerings

Participants will be able to:

Understand AI's role in training development
Manage in-house training more efficiently
Carry out a thorough analysis of training needs
Improve their competency training strategies
Develop a comprehensive understanding of the purpose of training needs analysis.

Training Methodology

Our training methodology involves interactive sessions and practical case studies to ensure an engaging learning environment. We believe that effective learning is best facilitated through active participation. Hence, our sessions are designed to foster engagement and collective learning. Feedback sessions will be conducted to assess progress and training records will be maintained to track each participant's performance.

Course Toolbox

Participants will receive:

A comprehensive workbook
Access to online resources
Access to AI-based training software
Checklists and templates for efficient audit training
Tools for recording and maintaining training records.

Course Agenda

Day 1: Introduction to AI and Training

• Topic 1: Rising Interest in AI in Education: Discuss the growing interest in AI in corporate training and development, in-house training, and skills training.

• Topic 2: Toward Policies for AI in Training: Introduction to the importance of ethical and effective AI policies in training management.

• Topic 3: Guiding Questions: Exploring key questions and considerations for incorporating AI into training.

• Reflection & Review: Review key points from the day's sessions and discuss how they apply to the participants' roles as training providers or in their training departments.

Day 2: Understanding AI & its Role in Learning

• Topic 1: What is AI? Understanding AI and its applications in the training & development process.

• Topic 2: Learning with AI: Discover how AI can enhance the learning experience and the process of training needs analysis.

• Topic 3: A Challenge: Systems Thinking About AI in Training: Explore the complexities of integrating AI into a training program.

• Reflection & Review: Reflect on the implications of AI for learning and its potential to improve in-house training.

Day 3: AI in Teaching & Assessment

• Topic 1: Teaching with AI: Discuss how AI can improve teaching jobs and enhance competency training.

• Topic 2: Designing, Selecting, and Evaluating AI Tools: Learn to choose and evaluate AI tools for your training department.

• Topic 3: AI in Formative Assessment: Discover how AI can enhance feedback loops and support assessment in training.

• Reflection & Review: Reflect on the role of AI in teaching and assessment and how these concepts apply to training & development.

Day 4: AI in Research and Development

• Topic 1: The Role of Research: Understand the importance of research in strengthening the role of context in AI.

• Topic 2: Partnership in Design-Based Research: Learn about the value of partnerships in AI research for training development.

• Topic 3: Connecting with Public Policy: Discuss how AI policies impact corporate training courses and training providers.

• Reflection & Review: Reflect on the day's sessions and review the importance of research and policy in AI for training.

Day 5: Recommendations and Next Steps

• Topic 1: Aligning AI to Policy Objectives: Learn about aligning AI with policy objectives and the training needs analysis process.

• Topic 2: Calling Education Leaders to Action: Discuss the role of leaders in advancing AI in education and training.

• Topic 3: Next Steps: Identify actions for integrating AI into your training design and in-house training programs.

• Reflection & Review: Reflect on the entire course, discuss key takeaways, and identify next steps for participants to apply what they've learned in their roles as training providers or within their training departments.

How This Course is Different from Other Training Management Courses

This course distinguishes itself from other similar offerings by taking a comprehensive, hands-on approach to understand the intersections of AI and various aspects of training. Our focus is on practical understanding and application, with the course designed to help participants navigate the complexities of leveraging AI for in-house training, management training, training development, and training needs analysis. We take pride in being an innovative training provider that stays abreast of the latest industry trends.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Location	Dates	Duration	Mode	Price
Amsterdam	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,700
Casablanca	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€4,100
Milan	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,700
Amman	Week 08, 2027 28 February – 4 March 2027	1 Week	Onsite	€4,100
Dubai	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€4,500
Prague	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€6,000
Rome	Week 11, 2027 15 – 19 March 2027	1 Week	Onsite	€5,700
Seoul	Week 11, 2027 15 – 19 March 2027	1 Week	Onsite	€10,000
Tashkent	Week 11, 2027 21 – 25 March 2027	1 Week	Onsite	€4,500
Paris	Week 12, 2027 22 – 26 March 2027	1 Week	Onsite	€5,700
Johannesburg	Week 12, 2027 28 March – 1 April 2027	1 Week	Onsite	€4,500
Cairo	Week 13, 2027 29 March – 2 April 2027	1 Week	Onsite	€4,100
Istanbul	Week 13, 2027 29 March – 2 April 2027	1 Week	Onsite	€4,500
Madrid	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€5,700
Frankfurt	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€5,700
Tokyo	Week 15, 2027 12 – 16 April 2027	1 Week	Onsite	€10,000
Jakarta	Week 16, 2027 19 – 23 April 2027	1 Week	Onsite	€5,700
Lisbon	Week 16, 2027 19 – 23 April 2027	1 Week	Onsite	€5,700
Dubai	Week 17, 2027 26 – 30 April 2027	1 Week	Onsite	€4,500
Vienna	Week 17, 2027 26 – 30 April 2027	1 Week	Onsite	€5,700