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Course Outline
Foundations of Generative AI for Training Professionals
- Core concepts: large language models, multimodal capabilities, 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
- Leveraging AI for needs analysis, instructional design, and curriculum planning.
- Automating logistics, communications, and administrative workflows.
- Utilizing AI-assisted monitoring, evaluation, and learning analytics.
Prompt Engineering and Custom AI Assistants
- Prompting frameworks and structured instruction design techniques.
- Iterating, personalizing, and grounding model responses.
- Developing custom assistants and specialized agents for training workflows.
AI Research, Curation, and Knowledge Productivity
- 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 narrations.
- Translating and adapting content with a focus on accessibility.
Validation, Quality, and Reliability of AI Outputs
- Verifying facts, detecting hallucinations, and grounding sources.
- Reviewing for bias, accuracy, and intellectual property risks.
- Establishing human review and quality assurance workflows.
Ethics, Governance, and Responsible AI Use
- Data protection, privacy compliance, and copyright obligations.
- Transparency and responsible-use policies.
- 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
- Fundamental understanding of training, instructional design, or learning and development processes.
- Proficiency with common productivity and content tools; programming experience is not required.
Audience
- Training managers and coordinators.
- Instructional designers and learning and development specialists.
- Professionals responsible for institutional training and capability enhancement.
32 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
