TRAIN THE TRAINER
Overview
Although it may appear to be simple, conducting a training session requires specific skills and knowledge of how people learn. Training is no longer just about standing in front of a room and delivering contentβmodern trainers must integrate AI-powered learning tools, adaptive learning platforms, and digital engagement techniques to create interactive and high-retention learning experiences. AI-driven insights are revolutionizing how trainers analyse learner behaviour, personalize content, and measure learning effectiveness. Trainers who have taken the time to consider their own approaches, understandings, and skills will be better equipped to provide comprehensive, active and effective training courses. This training program provides the groundwork for trainers to begin developing and refining their training and facilitation skills using a variety of methods to deliver the best learning experiences and improve learner engagement and retention. Over time, trainers will develop their practical skills further because of this course.
Price: $5,000.00
5-Day Training Program (4 Hours per Day)
Delivery Methods
- Self-discovery and critique
- Group exploration and facilitator led discussions
- Practical exercises
- Questioning periods and review
Objectives:
By the end of this training course participants will be able to:
- Explain the different attitudes, skills, and knowledge a professional trainer needs to be successful.
- List the roles and responsibilities of a professional trainer.
- Explain the importance of the seven characteristics of outstanding trainers.
- Explain how adults learn.
- Identify the three most common learning styles and select appropriate learning strategies to accommodate each style.
- Use AI-driven adaptive learning models β Explore how AI-powered platforms tailor content to different learning styles and needs.
- Use Neuro-linguistic Patterning techniques to engage learners.
- Determine if a performance issue is a genuine training need or not.
- Determine whether to design materials in house or purchase off the shelf materials.
- Write observable performance objectives.
- Identify appropriate training methods.
- Get training sessions off to a good start.
- Use introductions and summaries to reinforce learning.
- Facilitate activities, role plays, and icebreakers.
- Use their body language and voice tone effectively.
- Handle pre-training nervousness.
- Use techniques to get participants back on time from breaks and lunch.
- Identify tough participants and use appropriate techniques to manage them.
- Explain how Gen X, Gen Y and Gen Z Generations prefer to learn.
- Optimize digital & hybrid training delivery with AI β Understand how AI improves virtual learning experiences through automation and interactivity.
Programme Outline
Day 1: The Role of a Trainer & Principles of Adult Learning
π Session 1: Making the Transition to Trainer
- Understanding the mindset shift: From expert to facilitator
- Attitudes, skills, and knowledge of a professional trainer
- Roles and responsibilities of a trainer
- The seven characteristics of outstanding trainers
β Break (20 min)
π Session 2: Principles of Adult Learning
- What makes adult learners different from younger learners?
- Characteristics of adult learners (self-direction, relevance, experience-based)
- Exploring diverse learning styles (VAK model β Visual, Auditory, Kinaesthetic)
- Introduction to Neuro-Linguistic Programming (NLP) for identifying learning styles
π Session 3: Applying Learning Styles in Training
- How to appeal to different learning styles in training design
- Learning considerations for adult learners (motivation, barriers, engagement)
- AI-Powered Learning Style Analysis: How AI-driven tools identify and adapt to individual learning preferences in real time.
Practical activity: Identify your own learning style and discuss implications
Day 2: Training Design & Methods
π Session 1: Identifying Training Needs
- Is it really a training problem? (Distinguishing between training and performance issues)
- The Training Needs Analysis (TNA) process
- Practical exercise: Analysing training needs with a case study
β Break (20 min)
π Session 2: Designing Effective Training Programs
- Deciding between in-house development vs. purchasing off-the-shelf content
- Writing effective, observable training objectives
- AI for Content Personalization: How AI-driven learning platforms tailor course content to individual needs
- Choosing the right training methods (lecture, case studies, role plays, experiential learning, simulations)
π Session 3: Training Methods in Action
- Group work: Matching training methods with different learning objectives
- Discussion: Pros and cons of different methods
- Facilitator demonstration: Applying a blended learning approach
Day 3: Power Presentation Skills & Facilitation Techniques
π Session 1: Getting Things Off to a Strong Start
- The importance of introductions & setting the tone
- How to create engagement from the beginning
- Icebreakers and their role in training
β Break (20 min)
π Session 2: The Art of Facilitation
- How to facilitate more interactive and engaging training sessions
- Balancing presentation vs. participant interaction
- Using storytelling to enhance training impact
π Session 3: Body Language & Voice Projection
- The power of non-verbal communication
- Effective voice modulation, pace, and emphasis
- Role play: Practicing effective delivery techniques
- AI-Powered Training Delivery Practice β Participants use AI-generated feedback to refine their facilitation techniques.
Day 4: Handling Challenges & Managing Participants
π Session 1: Dealing with Tough Training Situations
- Managing nervousness and overcoming imposter syndrome
- Techniques to get participants back on time after breaks
- How to handle difficult participants (silent, talkative, resistant learners)
- AI in Managing Resistance & Difficult Participants: How AI-driven behaviour tracking helps trainers address learning barriers.
β Break (20 min)
π Session 2: Generational Learning Styles & Engagement
- How Gen X , Gen Y and Gen Z learn differently
- Tailoring training styles for multi-generational audiences
- Discussion: Adapting techniques for virtual and hybrid training environments
π Session 3: Trainer Q&A & Peer Coaching
- Real-life training challenges β participants share and discuss solutions
- Trainer Q&A session for troubleshooting difficult training situations
- Personal development planning: Identify key areas for self-improvement
Day 5: Recap & Final Action Planning
π Session 1: Revisiting Key Learnings
- Recap of major insights from Days 1-4
- Group discussion: What stood out the most?
- Peer-sharing: Biggest βahaβ moments
β Break (20 min)
π Session 2: Personal Action Planning
- Self-reflection exercise: What will you apply immediately?
- Setting SMART goals for training effectiveness
- Creating a personal action plan for ongoing development
π Session 3: Final Practice & Trainer Feedback
- Each participant delivers a short training segment (5-7 min)
- Feedback session with structured peer and trainer input
- The Future of AI in Training & Learning: How AI-powered automation continues to shape the future of professional training.
- Graduation and next steps β How to keep developing as a trainer
Key Highlights of this Approach:
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Progressive learning structure β builds foundational skills first, then moves to advanced facilitation
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Mix of theory, discussion, practical exercises, and real-world application
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Final day dedicated to solidifying learning and setting action steps
This program ensures participants blend human expertise with AI-powered training insights, mastering engaging, interactive, and data-driven training in an AI-augmented world. π