AI for Busy People
AI That Makes
Sense for
Your Business.
17 lessons. No maths. No PhD required. Built for the professionals making decisions about AI — not the engineers building it. From first principles to autonomous agents, entirely practical.
Built for People Who Lead, Not Who Code
Most AI courses are built for developers. This one is built for the people who commission AI projects, manage AI teams, and make the strategic decisions that determine whether AI investments pay off.
Executives & Directors
You need to evaluate AI proposals, sponsor AI initiatives, and govern AI use across your organisation — without needing to understand every technical detail. This course gives you the vocabulary, the frameworks, and the judgment.
Managers & Team Leads
You're responsible for a team or function that AI will transform. You need to know which tools to evaluate, how to brief a technical team, and how to manage the change that comes with AI adoption. This is for you.
Entrepreneurs & Founders
You're building a product or business where AI is either an opportunity or a competitive threat. You need to understand what's actually possible, what it costs to build, and where to start — without hiring a consultant for every question.
Curious Professionals
You use AI tools already but want to understand the full picture — from the models underneath to the agents and workflows on top. You're here to go from consumer to fluent practitioner without writing a line of Python.
What You'll Be Able to Do After This Course
Understand the difference between model types, know what questions to ask, and spot inflated claims from vendors or internal teams pitching AI projects.
Use structured prompting techniques — templates, chaining, role-setting — to extract reliable, high-quality output from commercial AI models across any function.
Build and understand end-to-end automation using tools like n8n and Make — connecting AI reasoning to real data, real systems, and real business outputs.
Know the difference between RAG, fine-tuning, and agents. Understand when each is appropriate, what it costs to build, and how to brief a technical team to build it right.
17 Lessons. From
Foundations to
Autonomous Agents.
The course runs in three modules — each one building on the last. No lesson assumes anything beyond curiosity. Every lesson includes real tools, live demos, and practical exercises you can try immediately.
Understand what AI really is and how it differs from machine learning, deep learning, and NLP. Explore AI's evolution with simple analogies and a live model demo.
Explore the major AI models — GPT, Claude, Gemini, Mistral, and others — with visual tours, comparison charts, and real business use cases to guide your choice.
Discover the leading content generation platforms — Midjourney, Runway, Jasper, ElevenLabs — and how they're being applied in marketing, media, and content operations today.
Learn how to craft effective prompts with real-time comparisons, structured best practices, reusable templates, and chaining techniques for complex multi-step tasks.
Automate end-to-end processes using n8n, Make, or Zapier. Build a live working workflow that connects AI reasoning to real business data and systems — no code required.
Navigate the open-source model ecosystem. Learn how to evaluate, compare, and select models from Hugging Face for your specific use case — from lightweight to state-of-the-art.
Enrich AI responses by injecting data from your internal documents through a practical Retrieval-Augmented Generation example. See how RAG makes AI accurate on your specific content.
Understand what fine-tuning is, when it's the right approach, and how it compares to prompt engineering and RAG. Learn to make the right architectural choice for your requirements.
Map AI capabilities to sales, marketing, operations, and finance. Understand which types of systems are suited to which functional problems — and how to evaluate ROI before you build.
Explore responsible AI principles, EU AI Act requirements, bias and transparency considerations, and the governance frameworks that protect your organisation as AI scales across functions.
Create a working AI agent using Flowise and watch it perform real tasks autonomously using the ReAct pattern — reasoning, acting, and observing in a live demonstration.
Orchestrate multiple AI agents with specific roles, coordinating them for complex multi-step workflows using Google's Agent Framework. See how specialised agents collaborate on a real task.
Explore how persistent memory works in AI agents by simulating a session that retains context across days and interactions. See the difference between short-term, long-term, and shared memory architectures.
Watch AI agents use real tools — web browsers, file systems, APIs — in real time. See how tool use expands what AI can do beyond generating text into taking actions on your behalf.
Prototype full AI-powered applications without writing code using platforms like Retool or Make. Build dashboards that connect to AI reasoning and take automated actions based on live data.
Translate course knowledge into an actionable implementation plan. Learn how to select the right first use case, build the internal case, and manage the change that comes with AI adoption.
Leave with a personalised AI roadmap — a prioritised list of use cases, tool recommendations, and the next practical steps to go from fluent practitioner to AI-enabled organisation.
Individual, Team or Corporate
Available as self-paced individual access, cohort-based team training, or a fully customised corporate learning programme delivered to your organisation on-site or remotely.
Full access to all 17 lessons, at your own schedule.
Live sessions for groups of 5–20, with shared exercises and Q&A.
Fully tailored AI literacy programme for your organisation.
No guesswork.
No slide decks.
Just impact.
Ready to move from AI hype to a working system? In a free 30-minute call we'll identify your highest-impact use case and tell you exactly what it takes to get there.
No upfront cost · Italy · Malta · Europe · English & Italian