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Beginner to Intermediate4-6 hoursWorking mental model + reference materials

What actually happens inside a Large Language Model — from the moment you type a prompt to the moment it responds. No math. No fluff. Just a clear picture you can hold in your head.

...What is an LLM, really? LLM stands for Large Language Model. ChatGPT, Claude, Gemini — they're all LLMs. You've probably used one this week without thinking much about what's happening behind the screen....

2 DaysIntensive

Beginner FriendlyNo math required

LLMs Machine Learning Transformers Generative AI View Details

AI Tools, Landscape & Platforms

Beginner to Intermediate3-4 hoursPersonal AI tools map + selection framework + team stack recommendation

The AI tools landscape — what the major platforms are, how they actually differ, and how to choose the right one for the right job. Stop chasing every new launch. Start making deliberate choices.

...basic idea: your documents get converted into vectors (the same meaning-fingerprint concept from the LLMs guide) and stored in a vector database. When a question comes in, the system searches for the most...

Half DayIntensive

Beginner FriendlyNo technical background required

AI Tools AI Platforms Generative AI AI Landscape LLMs AI Fluency View Details

Effective Prompt Engineering

Beginner to Advanced6-8 hoursFull prompt design framework + personal prompt library

Every major prompt engineering technique — from basic clarity to advanced agentic reasoning. Not a list of tips. A mental model you can apply to any task, any tool, any context.

...are high. Chain of Thought — make it reason out loud Here's something most people don't realise about LLMs: they don't natively "think through" a problem before answering. They predict the next token. Without...

2 DaysIntensive

19 TechniquesComplete Coverage

Prompt Engineering LLMs Generative AI Productivity AI Workflows View Details

What is Generative AI?

Beginner3-4 hoursClear mental model of Generative AI + reference materials

Generative AI — what it actually is, how it works, what it's good at, and where it goes wrong. No hype. No math. Just clarity.

Half DayIntensive

Beginner FriendlyNo math required

Generative AI LLMs AI Fundamentals Machine Learning View Details

AI Architecture Clarity: Understanding LLM, RAG, Agents, and MCP Through the Brain Model

A clear executive guide explaining LLM, RAG, AI Agents, and MCP using the Brain model to prevent enterprise AI instability.

...systems without a shared vocabulary. One team called everything "AI." Another distinguished between LLMs, agents, and RAG — but couldn't agree on where the boundaries were. Architecture discussions were...

Technology Strategy Execution Ai Governance Ai Ai Strategy Read Insight

AI Agents and Automation

Intermediate to Advanced6-8 hoursAgent use case map + architecture blueprint + governance framework

AI agents — what they are, how they work, the protocols shaping them (MCP, A2A), and the governance you need before you let one act on your behalf. The bridge between AI that talks and AI that does.

...approval. Agents are not magic. They are structured loops — plan, act, observe, decide — powered by LLMs and connected to tools via protocols like MCP. The loop is simple. The emergent behaviour from scaling...

2 DaysIntensive

Agent DesignWorkshop

AI Agents Agentic AI MCP A2A Multi Agent Systems AI Orchestration View Details

AI Implementation & Technical Architecture

Intermediate to Advanced5-7 hoursAI architecture blueprint + MLOps framework + deployment playbook

Turning AI prototypes into reliable, scalable production systems. MLOps, model serving, RAG architecture, monitoring, and the engineering discipline that most AI projects are missing.

...what can you spend on GPU? Determines optimisation need RAG architecture — grounding AI in your data LLMs have a knowledge cutoff and they hallucinate. RAG — Retrieval-Augmented Generation — solves both...

2 DaysIntensive

ArchitectureBlueprint

AI Architecture MLOps Model Deployment AI Infrastructure Production AI View Details

Data and AI

Intermediate4-6 hoursData readiness assessment + governance framework + pipeline blueprint

The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.

...repositories, meeting transcripts, web content, images. Traditional AI could not use this data effectively. LLMs can — but only with the right architecture. Embeddings are numerical representations of meaning....

1.5 DaysIntensive

Data ReadinessAssessment

Data Quality Data Governance Data Architecture Feature Engineering Data Pipelines RAG Vector Databases GenAI Data AI Fluency View Details

AI Operating Model Workshop

CTO, CIO, VP Engineering, Enterprise Architects, AI LeadersAI ownership model, governance framework, capability map, 90-day activation plan

Stop running AI experiments in isolation. Build the ownership structure, governance model, and decision rights that turn scattered AI pilots into an organisation-wide capability.

...duplication check List every team in your organisation currently working on anything involving AI or LLMs. Now check: are any of them solving the same problem independently? Are any of them using different...

1 DayIntensive

Clear OwnershipAI at Scale

AI Strategy AI Governance Operating Model Organisational Design View Details