Nina Applied AI

Explore AI —
from theory to
practice

Learning designed around your goals.

My workshops can be tailored to your needs by combining theory and hands-on implementation to match your focus and experience.

You can choose individual modules or mix different areas to build a personalised learning plan for yourself or your team.

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Data literacy & responsible AI.

Goal: Build strong AI literacy — from model logic to data ethics — and empower participants to use AI responsibly and transparently.

Includes:

  • Responsible AI & Foundations — key principles, terminology, and best practices
  • How AI Technology Works — model architectures and reasoning processes
  • Data Literacy & the EU AI Act — transparency, compliance, human oversight
  • Ethics, Bias & Hallucinations — identifying and reducing bias, ensuring fairness
  • AI in Social Media Algorithms — personalization, echo chambers, and digital responsibility

Outcome: Participants understand both the how and why of AI — ready to apply it ethically in research, teams, and strategy.

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Sustainable AI & efficient use.

Goal: Equip participants to plan, optimize, and scale AI use responsibly while improving performance and minimizing impact.

Includes:

  • Efficient Prompting & Resource Optimization — token efficiency, clarity, and performance
  • Advanced Prompt Engineering — hands-on workshops to learn effective prompting and reasoning chains
  • Project Planning & Resource Awareness — how to start sustainable AI projects

Outcome: Participants learn how to make AI projects sustainable — technically and environmentally — through smart design, optimization, and planning.

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Process automation & Applied AI.

Goal: Build AI-driven workflows, assistants, and creative tools for text, image, and video generation.

Includes:

  • AI Tools & Workflow Integration — connecting tools and APIs for automation
  • Applied AI Use Cases — solving real problems and prototyping ideas
  • Media Generation — creating visuals and videos using AI tools
  • Optimizing Processes with AI Assistants — text generation and productivity automation
  • Automation Essentials — workflow design and when to automate
  • Process Automation with AI Agents — designing autonomous workflows with LLMs

Outcome: Participants gain hands-on experience building real applications — from AI assistants to creative media tools — learning how to integrate AI into existing processes.

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