AI Fluency Foundations: The Leader’s 90-Minute Starter Course
A substantial free Tesseract Academy taster for busy, non-technical leaders who want to move beyond casual AI experimentation.
This mini-course previews the core behaviours of the AI Fluency Certification: clear briefing, safe use, executive synthesis, voice control, verification, strategic use-case selection, and one practical AI experiment.
Who’s This For
This course is for busy leaders, managers, founders, consultants, and senior professionals who want to move beyond casual AI experimentation. You do not need to code or understand model architecture. You do need to make better decisions about where AI fits into real work.
It is designed as a serious taster for the full AI Fluency Certification. In one focused session, you will learn the mental model, practise the core skills, use a simple strategy lens, and leave with a small starter portfolio of AI competence.
What You’ll Learn
- What AI fluency means for a non-technical leader.
- How to brief AI clearly, verify its work, and protect human judgement.
- How to turn information overload into decision-ready briefs.
- How to judge AI opportunities using value, feasibility, risk, and adoption.
- How to create an AI Fluency Starter Pack with prompts, a voice profile, a strategy lens, and one safe experiment.
Frequently asked questions
What does AI fluency mean for business leaders?
AI fluency means understanding how to direct, evaluate, and integrate AI tools into daily operations without needing technical coding skills. It involves knowing when to use generative models, how to prompt them effectively, and how to verify their outputs. Leaders who possess this skill can make faster, data-informed decisions and guide their teams through digital transformation confidently.
How long does it take to become AI literate?
Basic AI literacy can be achieved in under two hours of focused study. This timeframe allows a person to grasp core concepts, practice prompt engineering, and identify common failure modes. While mastery takes longer, this initial period provides enough knowledge to start experimenting with tools like ChatGPT or Midjourney in a controlled, low-risk environment.
What are the core skills required for AI fluency?
The three core skills are prompt engineering, output evaluation, and workflow integration. Prompt engineering involves crafting clear instructions to get desired results. Output evaluation means checking for factual accuracy and bias. Workflow integration is about embedding AI tasks into existing processes, such as summarising meeting notes or drafting initial reports, to save time and reduce manual effort.
How can leaders use AI to save time daily?
Leaders can save time by automating repetitive administrative tasks. For example, they can use AI to summarise long email threads, draft initial responses to common queries, or generate outlines for presentations. These small automations can reclaim thirty to sixty minutes per day, allowing leaders to focus on strategic thinking and high-value interpersonal interactions instead of busywork.
What is the difference between AI strategy and AI tools?
AI tools are the specific software applications, such as ChatGPT or DALL-E, used to perform tasks. AI strategy is the broader plan for how an organisation adopts these tools to achieve business goals. A good strategy defines which problems to solve, sets ethical guidelines, and allocates budget, ensuring that tool usage aligns with long-term objectives rather than being a random collection of apps.
