Course Outline
Generative AI Foundations for Training Professionals
- Core concepts: large language, multimodal, and reasoning models.
- Evaluating current AI tools against specific training requirements.
- Understanding the limitations, biases, and failure modes of generative AI.
AI Across the Training Management Lifecycle
- Applying AI to needs analysis, instructional design, and curriculum planning.
- Streamlining logistics, communication, and administrative workflows through automation.
- Enhancing monitoring, evaluation, and learning analytics with AI assistance.
Prompt Engineering and Custom AI Assistants
- Exploring prompting frameworks and structured instruction design.
- Refining, personalizing, and grounding model responses through iteration.
- Developing custom assistants and specialized agents for training workflows.
AI Research, Curation, and Knowledge Productivity
- Conducting AI-assisted research and intelligent search with source verification.
- Summarizing, curating, and organizing institutional documents.
- Automating repetitive knowledge management and administrative tasks.
Creating Learning Resources with Generative AI
- Generating text, presentations, and infographics.
- Producing images, video content, and AI voice narration.
- Translating and adapting content with a focus on accessibility.
Validation, Quality, and Reliability of AI Outputs
- Verifying facts, detecting hallucinations, and ensuring source grounding.
- Reviewing outputs for bias, accuracy, and intellectual property risks.
- Establishing human review and quality assurance workflows.
Ethics, Governance, and Responsible AI Use
- Addressing data protection, privacy, and copyright obligations.
- Implementing transparency and responsible-use policies.
- Adopting AI governance frameworks and institutional best practices.
Capstone: Designing an AI-Enhanced Training Program
- Planning an end-to-end AI-enabled training workflow.
- Presenting and defending a practical program design.
Requirements
- Basic familiarity with training, instructional design, or learning and development workflows.
- Proficiency with common productivity and content creation tools; no programming experience is required.
Target Audience
- Training managers and coordinators.
- Instructional designers and learning and development professionals.
- Professionals accountable for institutional training and capability development.
Testimonials (4)
Understanding of AI and LLM. How it works and ehat the watchouts and opportunities are!
Henk Jan Beltman - genuine business
Course - Advanced AI Concepts with Perplexity
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
