Course Outline
Foundations of Generative AI for Training Specialists
- Key concepts: large language models, multimodal models, and reasoning architectures
- Evaluating current AI tools against specific training requirements
- Understanding the constraints, inherent biases, and potential failure points of generative AI
Integrating AI into the Training Management Lifecycle
- Leveraging AI for needs analysis, instructional design, and curriculum planning
- Streamlining logistics, communication, and administrative processes through automation
- Utilizing AI for monitoring, evaluation, and advanced learning analytics
Prompt Engineering and Custom AI Assistant Development
- Applying prompt engineering frameworks and structured instruction methodologies
- Refining, personalizing, and anchoring model responses for relevance
- Developing custom assistants and specialized agents tailored to training workflows
AI-Assisted Research, Curation, and Knowledge Productivity
- Conducting AI-assisted research and intelligent searches with verified sources
- Summarizing, curating, and structuring institutional documentation
- Automating repetitive knowledge management and administrative tasks
Developing Learning Resources with Generative AI
- Generating text, presentations, and infographics
- Creating images, video content, and AI-driven voice narrations
- Translating and adapting content with a focus on accessibility
Validating the Quality and Reliability of AI Outputs
- Fact-checking, detecting hallucinations, and ensuring source integrity
- Assessing content for bias, accuracy, and intellectual property risks
- Implementing human oversight and quality assurance protocols
Ethics, Governance, and Responsible AI Implementation
- 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
- Planning a comprehensive, AI-integrated training workflow
- Presenting and defending a practical program design
Requirements
- Familiarity with foundational concepts in 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 overseeing 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
