Course Outline
Foundations of Generative AI for Training Professionals
- Essential concepts: large language, multimodal, and reasoning models
- Evaluating current AI tools against specific training requirements
- Understanding the limitations, biases, and potential failure modes of generative AI
Integrating AI into the Training Management Lifecycle
- Utilizing AI for needs analysis, instructional design, and curriculum planning
- Streamlining logistics, communication, and administrative workflows through automation
- Enhancing monitoring, evaluation, and learning analytics with AI support
Prompt Engineering and Custom AI Assistants
- Frameworks for prompting and structured instruction design
- Refining, personalizing, and anchoring model responses for better accuracy
- Developing custom assistants and specialized agents for training-specific workflows
AI-Driven Research, Curation, and Knowledge Management
- Conducting AI-assisted research and intelligent searches with source verification
- Summarizing, curating, and organizing institutional documentation
- Automating repetitive knowledge-based and administrative duties
Creating Learning Resources with Generative AI
- Generating text, presentations, and infographics
- Producing visual assets, video, and AI-driven voice narration
- Adapting and translating content with a focus on accessibility
Validating the Quality and Reliability of AI Outputs
- Fact-checking, identifying hallucinations, and ensuring source grounding
- Reviewing content for bias, accuracy, and intellectual property compliance
- Implementing human review and quality assurance protocols
Ethics, Governance, and Responsible AI Practice
- Complying with data protection, privacy, and copyright regulations
- Establishing transparency and responsible-use policies
- Adopting AI governance frameworks and institutional best practices
Capstone: Designing an AI-Enhanced Training Program
- Mapping out an end-to-end AI-enabled training workflow
- Presentation and defense of a practical program design
Requirements
- Foundational knowledge of training, instructional design, or learning and development processes
- Proficiency with standard productivity and content creation tools; no programming background is necessary
Target Audience
- Training managers and coordinators
- Instructional designers and learning and development specialists
- Professionals tasked with 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
