Cut Through the Hype. Understand How AI Really Works. Make Smarter Decisions.
In today’s AI-driven landscape, it’s no longer enough to just use ChatGPT or delegate “all things AI” to your tech team. If you’re a founder, investor, product manager, or strategy lead, you need to understand the technology behind modern tools—especially when it comes to Large Language Models (LLMs) like GPT, Claude, Mistral, and LLaMA.
That’s why we created “Understanding the Transformer – A Course for Non-Technical Founders.”
This course is designed specifically for non-technical professionals who want to speak confidently about AI, understand product implications, and communicate effectively with developers, vendors, and clients—without having to become a machine learning engineer.
Delivered live via Google Meet in two sessions of two hours each, this course costs just £200 per seat and provides real-world understanding in a no-jargon, fully interactive format.
Why You Need to Understand Transformers
Transformers are the backbone of modern AI.
They power everything from chatbots to content generators, code assistants to compliance tools. But what are they, really?
At their core, transformers are statistical models trained on massive datasets. They don’t think or reason like humans. Instead, they predict the next word based on what has come before.
This process is called autoregression—a fancy way of saying, “guess what comes next.” And from this simple principle, combined with powerful architectures and vast training data, comes the illusion of intelligence.
But illusion it is.
LLMs don’t “understand” in the way we do. They don’t know facts. They don’t check sources. They don’t make logical deductions. What they do is match patterns in text, based on probability.
This creates powerful capabilities—but also critical limitations. And if you don’t understand both, you risk building products that underdeliver, mislead, or even fail.
Why Prompt Engineering Isn’t Enough
You may have heard the term “prompt engineering”—the art of writing clever prompts to guide the model’s output.
It works well… until it doesn’t.
Prompt engineering is unreliable for anything that requires:
- Consistency
- Accuracy
- Compliance
- Custom behavior
- Integration with structured data
At best, it’s a temporary workaround. At worst, it hides deeper technical or product gaps.
If you’re building an AI-powered tool or service, you can’t rely on prompting alone. You need to understand when to use fine-tuning, when to use retrieval-augmented generation (RAG), and how embeddings and vector search work.
This course gives you the strategic and conceptual understanding to ask the right questions—and avoid expensive mistakes.
What You’ll Learn
Over two engaging sessions (2 hours each), you’ll gain a practical, business-focused understanding of how transformers and LLMs work.
Session 1: The Foundations
- What a transformer is—and how it’s different from older AI
- How LLMs generate text using autoregression
- What training really means (tokens, loss functions, datasets)
- What transformers can do well—and where they fail
- Why models hallucinate and repeat errors
- How models learn patterns without reasoning
Session 2: Applications and Strategy
- What prompt engineering is—and why it’s limited
- When to use fine-tuning, embeddings, or RAG
- What a “vector database” really is (no math!)
- Common use cases: support, summarization, search, automation
- What to ask your tech team or agency before starting an AI project
- How to spot hype and evaluate product claims
Each session includes live examples, diagrams, and time for Q&A. You’ll also receive a summary cheat sheet covering all key terms and ideas.
Who Should Attend
This course is ideal for:
- Startup founders building or integrating AI
- Non-technical co-founders who want to level up
- Product managers leading LLM-related features
- Consultants and marketers working in AI-adjacent industries
- Investors evaluating AI startups
- Corporate managers overseeing innovation or digital transformation
No prior technical knowledge is required. Just curiosity and a willingness to learn.
Course Details
Course Name: Understanding the Transformer – A Course for Non-Technical Founders
Format: Live online (Google Meet)
Sessions: 2 x 2-hour workshops
Price: £200 per seat
Materials Included: Slides, recordings, cheat sheet, and follow-up reading list
Group bookings available on request.
Why Language Media?
At Language Media Ltd, we specialize in making complex technical topics accessible. Our clients include startups, educators, and organizations working at the intersection of data, communication, and innovation.
This course reflects our commitment to clarity, simplicity, and practical learning—no fluff, no jargon, no unnecessary theory.
You’ll leave with the confidence to make smart, informed decisions about AI in your business—whether you’re building, buying, or investing.