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AI Capabilities, Limitations & Use Cases
Beginner to Intermediate3-4 hoursTask-to-AI fit judgment + reference materials

What AI is genuinely good at, where it will let you down, and how to match the right task to the right tool. The judgment you need before you touch a prompt.

...that date is invisible to it — unless you explicitly provide the information or the model has a web search tool connected. This catches people out more than they expect. It's not just recent news. It's:...

Half DayIntensive
Beginner FriendlyNo math required
Generative AIAI CapabilitiesAI LimitationsHallucinationUse CasesAI FluencyView 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.

...model Converts text to vectors OpenAI Ada, Cohere, Sentence Transformers Vector database Stores and searches embeddings Pinecone, Weaviate, Chroma, pgvector, Qdrant Chunking strategy How documents are...

2 DaysIntensive
ArchitectureBlueprint
AI ArchitectureMLOpsModel DeploymentAI InfrastructureProduction AIView Details
Operating Model Choices
Advanced (EA, TS)5-6 hoursOperating model design canvas + team topology guide + Conway's Law application worksheet + Communication Structure Heatmap

How the structure of technology teams shapes the structure of the systems they build — covering Conway's Law, centralised vs federated models, platform teams, product operating models, team topologies, and designing the organisation that produces the architecture you want.

...capabilities DevOps enablement, Security champions Complicated subsystem Own complex, specialist components Search engine, ML pipeline The three interaction modes: Mode What it means When to use Collaboration...

1 DayIntensive
StrategicEA · TS
ArchitectureOperating ModelConway's LawTeam TopologiesPlatform TeamsStrategyView 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.

...captures semantic similarity. Similar meanings produce nearby vectors. This is what makes semantic search possible — searching by meaning, not keywords. Vector databases store embeddings and retrieve...

1.5 DaysIntensive
Data ReadinessAssessment
Data QualityData GovernanceData ArchitectureFeature EngineeringData PipelinesRAGVector DatabasesGenAI DataAI FluencyView 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.

...engineers and marketing directors who all believed the same thing: that when you ask an AI a question, it searches the internet, finds the best answer, and hands it back. Like a very fast librarian with good...

Half DayIntensive
Beginner FriendlyNo math required
Generative AILLMsAI FundamentalsMachine LearningView 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.

...opens that up. It interleaves two types of steps: Reason (think about what to do) and Act (use a tool — search the web, run code, call an API). The model reasons about what it needs, takes an action to get...

2 DaysIntensive
19 TechniquesComplete Coverage
Prompt EngineeringLLMsGenerative AIProductivityAI WorkflowsView Details
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