Living skills map
Skills
Every skill is linked to the outcomes, weeks and textbook chapters that teach it. When a skill or outcome changes, every link is updated and recorded in the history.
Adaptation
Advanced
Advanced retrieval
Agentic & self-correcting retrieval (routing, Self-RAG, CRAG, multi-hop)
Agentic & self-correcting retrieval (routing, Self-RAG, CRAG, multi-hop).
2 outcomes · 2 weeks/phases · 0 chapters · v1
Structured retrieval: text-to-SQL & semantic layers
Structured retrieval: text-to-SQL & semantic layers.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Agentic engineering
Agents
Agent memory, budgets & guardrails
Give agents bounded memory, cost budgets and guardrails.
6 outcomes · 6 weeks/phases · 2 chapters · v1
Agents, robots & reinforcement learning
Explain agents and learning from rewards and add a safe tool to an app.
2 outcomes · 1 weeks/phases · 1 chapters · v1
Multi-agent orchestration
Choose and implement multi-agent patterns such as supervisor, pipeline and debate.
7 outcomes · 7 weeks/phases · 1 chapters · v1
Tool calling & MCP integration
Expose tools to models through function calling and the Model Context Protocol.
10 outcomes · 9 weeks/phases · 1 chapters · v1
Architecture
AWS deployment with Bedrock fallback
AWS deployment with Bedrock fallback.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Portability & open alternatives
Portability & open alternatives.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Reference architecture & trust boundaries
Reference architecture & trust boundaries.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Autonomous & optimization
Building
Agent CLI, hooks & custom loops
Run agents from the terminal and automate them with hooks and custom loops.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Agent rules & steering files
Write project rules and steering files that make agent behaviour consistent and reviewable.
1 outcomes · 1 weeks/phases · 0 chapters · v1
AI coding agent workflows (Agent, Plan, Composer)
Drive coding agents through plan, multi-file change and verification loops.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Building AI web & desktop apps
Build and test a web or desktop app on a local model, including answering from your own notes.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Context engineering
Assemble the right instructions, examples, retrieved facts and memory into a model's context.
12 outcomes · 13 weeks/phases · 2 chapters · v1
Prompt engineering
Design, version and test prompts that produce reliable behaviour.
7 outcomes · 5 weeks/phases · 2 chapters · v1
Running open models locally (Ollama)
Install and run open models on a laptop with Ollama and compare them on speed, quality, memory and licence.
4 outcomes · 4 weeks/phases · 1 chapters · v1
Structured outputs & schema validation
Constrain model outputs to JSON schemas and validate them in code.
10 outcomes · 10 weeks/phases · 1 chapters · v1
Business
Business Analysis
AI-assisted elicitation & transcript synthesis
Run interviews, workshops and surveys and synthesise transcripts with AI while verifying every claim.
1 outcomes · 2 weeks/phases · 1 chapters · v1
BABOK core concepts & knowledge areas
Use the BABOK v3 core concept model and knowledge areas to frame analysis work, and explain where AI helps and where it does not.
1 outcomes · 2 weeks/phases · 1 chapters · v1
Requirements life cycle & traceability
Manage requirements change and traceability, including with AI agents.
2 outcomes · 1 weeks/phases · 2 chapters · v1
Stakeholder analysis & BA planning
Plan analysis work and map stakeholders, influence and communication needs with AI support.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Core building
Python & TypeScript SDKs
Python & TypeScript SDKs.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Question wording iteration
Question wording iteration.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Raw API use & access paths
Raw API use & access paths.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Speculative fan-out & composite scoring
Speculative fan-out & composite scoring.
1 outcomes · 1 weeks/phases · 0 chapters · v1
State design & redaction
State design & redaction.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Core engineering
DSPy: metric-driven prompt optimisation
DSPy: metric-driven prompt optimisation.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Production LLM client engineering (streaming, retries, cancellation)
Production LLM client engineering (streaming, retries, cancellation).
3 outcomes · 3 weeks/phases · 0 chapters · v1
Prompt registry: versioning, A/B routing, rollback
Prompt registry: versioning, A/B routing, rollback.
3 outcomes · 3 weeks/phases · 0 chapters · v1
Data
Data platform
Index lifecycle: zero-downtime rebuild, blue/green, rollback
Index lifecycle: zero-downtime rebuild, blue/green, rollback.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Lakehouse storage, table formats & reproducibility (Iceberg, DuckDB)
Lakehouse storage, table formats & reproducibility (Iceberg, DuckDB).
2 outcomes · 2 weeks/phases · 0 chapters · v1
Orchestration & pipeline engineering (Airflow, Dagster, dbt, dlt)
Orchestration & pipeline engineering (Airflow, Dagster, dbt, dlt).
3 outcomes · 3 weeks/phases · 0 chapters · v1
Streaming ingestion & CDC (Kafka, Debezium, freshness SLAs)
Streaming ingestion & CDC (Kafka, Debezium, freshness SLAs).
3 outcomes · 3 weeks/phases · 0 chapters · v1
Databases
Engineering
Evaluation
Evaluation & observability
Foundations
Agent architecture: the four execution zones and ten layers
Agent architecture: the four execution zones and ten layers.
2 outcomes · 2 weeks/phases · 0 chapters · v1
AI capabilities, limits & work evidence
Explain what AI can and cannot do and the evidence on its effects on productivity, tasks and jobs.
1 outcomes · 2 weeks/phases · 2 chapters · v1
AI history & big ideas
Explain what AI is, its history and the five big ideas behind it.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Building an agent loop from primitives (no framework)
Building an agent loop from primitives (no framework).
5 outcomes · 5 weeks/phases · 0 chapters · v1
Choosing Choice / Score / Noul
Choosing Choice / Score / Noul.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Chunking strategy design & measurement (semantic, late, contextual)
Chunking strategy design & measurement (semantic, late, contextual).
3 outcomes · 3 weeks/phases · 0 chapters · v1
Confidence bands & expected utility
Confidence bands & expected utility.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Document parsing & layout-aware extraction (Docling, tables, OCR)
Document parsing & layout-aware extraction (Docling, tables, OCR).
3 outcomes · 3 weeks/phases · 0 chapters · v1
Feedback loops & control theory
Feedback loops & control theory.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Foundation model mechanics
Explain tokenization, context windows, sampling and characteristic failure modes of LLMs.
6 outcomes · 6 weeks/phases · 2 chapters · v1
Framing decisions vs generation (System One thinking)
Framing decisions vs generation (System One thinking).
1 outcomes · 1 weeks/phases · 0 chapters · v1
Harness architecture (model + harness)
Explain and design the control system around a model: guides, sensors, data plane and control plane.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Knowledge representation & logic
Represent knowledge with logic and rules and reason with it.
1 outcomes · 1 weeks/phases · 1 chapters · v1
LLM cost & latency estimation
Estimate and control token cost, latency and throughput for AI features.
11 outcomes · 11 weeks/phases · 2 chapters · v1
Probabilistic reasoning
Use probability to reason under uncertainty.
2 outcomes · 1 weeks/phases · 1 chapters · v1
Probability, calibration, Brier & ECE
Probability, calibration, Brier & ECE.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Python, Git, CLI & APIs
Python, Git, CLI & APIs.
3 outcomes · 3 weeks/phases · 0 chapters · v1
Search & planning algorithms
Solve problems with search, game playing and planning.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Token counting & context budgeting
Measure tokens and enforce a context budget in code, ordering and pruning content by utility per token.
3 outcomes · 3 weeks/phases · 0 chapters · v1
Workflow vs. agent decision-making and control selection
Workflow vs. agent decision-making and control selection.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Governance
AI ethics, inclusion & trust
Lead ethically and inclusively on AI and build trust with staff and the public.
2 outcomes · 3 weeks/phases · 4 chapters · v1
AI governance (NIST AI RMF & ISO/IEC 42001)
Design an AI governance model and AI management system using NIST AI RMF, its Generative AI Profile and ISO/IEC 42001.
1 outcomes · 2 weeks/phases · 1 chapters · v1
AI policy writing
Write an organisational AI-use policy with roles, tiers and escalation.
1 outcomes · 1 weeks/phases · 1 chapters · v1
AI risk, security & incident leadership
Lead the response to AI incidents and manage AI risk and security at board level.
2 outcomes · 1 weeks/phases · 1 chapters · v1
Enterprise AI developer tooling & governance
Evaluate, deploy and govern AI coding tools for teams and enterprises.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Responsible AI & regulatory compliance
Apply NIST AI RMF, EU AI Act risk tiers and ISO/IEC 42001; write system cards and risk registers.
10 outcomes · 10 weeks/phases · 5 chapters · v1
Governance & professional
Integration
Gateways & ecosystem selection
Gateways & ecosystem selection.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Knowledge-graph traversal (Neo4j)
Knowledge-graph traversal (Neo4j).
4 outcomes · 4 weeks/phases · 0 chapters · v1
LangChain & LangGraph integration
LangChain & LangGraph integration.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Knowledge & retrieval
Agent memory & state
Design short-term state, long-term memory, compaction and graph/entity memory.
5 outcomes · 5 weeks/phases · 0 chapters · v1
Citations, groundedness and the ten-cause RAG diagnosis
Citations, groundedness and the ten-cause RAG diagnosis.
4 outcomes · 4 weeks/phases · 0 chapters · v1
Metadata design, tenant isolation and clearance-aware filtering
Metadata design, tenant isolation and clearance-aware filtering.
7 outcomes · 7 weeks/phases · 0 chapters · v1
Multimodal context (images, PDFs, audio, video)
Bring images, layout-aware documents, audio and video into the context window within budget.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Query understanding: rewriting, decomposition, adaptive retrieval
Query understanding: rewriting, decomposition, adaptive retrieval.
4 outcomes · 4 weeks/phases · 0 chapters · v1
Knowledge graphs
Entity & relation extraction from text with LLMs
Entity & relation extraction from text with LLMs.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Entity resolution & record linkage (Splink, blocking, Fellegi–Sunter)
Entity resolution & record linkage (Splink, blocking, Fellegi–Sunter).
3 outcomes · 3 weeks/phases · 0 chapters · v1
Ontologies & semantic standards (RDF, OWL, SKOS, SPARQL, SHACL)
Ontologies & semantic standards (RDF, OWL, SKOS, SPARQL, SHACL).
2 outcomes · 2 weeks/phases · 0 chapters · v1
Leadership
AI operating model design
Design centres of excellence, hub-and-spoke models and human + agent teams.
2 outcomes · 1 weeks/phases · 2 chapters · v1
Change impact & stakeholder communication
Assess change impact and communicate AI-enabled change ethically to affected people.
2 outcomes · 1 weeks/phases · 1 chapters · v1
Change leadership for AI adoption
Lead adoption with change models, sponsorship and resistance management.
1 outcomes · 1 weeks/phases · 2 chapters · v1
Machine Learning
Computer vision & speech
Describe how perception systems see and hear and analyse their failures.
2 outcomes · 1 weeks/phases · 1 chapters · v1
Machine-learning workflow
Apply features, labels, train/test split, training and metrics to simple problems.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Model evaluation & overfitting
Measure models with errors and metrics and recognise overfitting.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Neural networks & deep learning
Explain how neural networks learn and where deep learning works.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Memory
Model layer
National AI Education
AI & Big Data; Technological Literacy
AI & Big Data; Technological Literacy — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
AI Awareness
AI Awareness — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
2 outcomes · 0 weeks/phases · 0 chapters · v1
AI Citizenship
AI Citizenship — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 0 weeks/phases · 0 chapters · v1
AI Conceptual Literacy
AI Conceptual Literacy — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
AI Creation
AI Creation — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
2 outcomes · 0 weeks/phases · 0 chapters · v1
AI Ethics
AI Ethics — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
AI Ethics Leadership
AI Ethics Leadership — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
AI Learning Analytics
AI Learning Analytics — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 1 weeks/phases · 0 chapters · v1
AI Solution Design
AI Solution Design — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
2 outcomes · 1 weeks/phases · 0 chapters · v1
AI Technical Literacy
AI Technical Literacy — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
AI Tool Proficiency
AI Tool Proficiency — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
AI Understanding
AI Understanding — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 0 weeks/phases · 0 chapters · v1
Analytical Thinking; AI & Big Data
Analytical Thinking; AI & Big Data — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
Analytical Thinking; Resilience
Analytical Thinking; Resilience — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
Career Readiness
Career Readiness — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
2 outcomes · 1 weeks/phases · 0 chapters · v1
Computational Thinking
Computational Thinking — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 0 weeks/phases · 0 chapters · v1
Creative Thinking; Leadership
Creative Thinking; Leadership — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
Curiosity and Lifelong Learning
Curiosity and Lifelong Learning — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
Curiosity and Lifelong Learning; Entrepreneurial Thinking
Curiosity and Lifelong Learning; Entrepreneurial Thinking — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
Data Literacy
Data Literacy — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
Leadership and Social Influence
Leadership and Social Influence — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
No-Code AI Building
No-Code AI Building — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
2 outcomes · 1 weeks/phases · 0 chapters · v1
Pedagogical AI Integration
Pedagogical AI Integration — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
Resilience; Motivation and Self-Awareness
Resilience; Motivation and Self-Awareness — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
Student Facilitation
Student Facilitation — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
3 outcomes · 1 weeks/phases · 0 chapters · v1
Systems Thinking
Systems Thinking — as defined in the Bangladesh National AI Education competency frameworks (BNQF Levels 1–7).
1 outcomes · 0 weeks/phases · 0 chapters · v1
Operations
Explainability and lineage drill-down UI
Explainability and lineage drill-down UI.
0 outcomes · 0 weeks/phases · 0 chapters · v1
Kubernetes, IaC and supply-chain security
Kubernetes, IaC and supply-chain security.
0 outcomes · 0 weeks/phases · 0 chapters · v1
LLMOps observability & SLOs
Trace, monitor and deploy AI systems safely against cost and latency SLOs.
8 outcomes · 7 weeks/phases · 1 chapters · v1
Scale, HA, disaster recovery and FinOps
Scale, HA, disaster recovery and FinOps.
0 outcomes · 0 weeks/phases · 0 chapters · v1
Orchestration
Cloud & parallel agent orchestration
Run, steer and review many background or cloud agents in parallel.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Graph orchestration with typed state and conditional control flow
Graph orchestration with typed state and conditional control flow.
6 outcomes · 6 weeks/phases · 0 chapters · v1
People
Human–AI teaming & oversight
Set decision rights and meaningful human oversight, and counter automation bias.
2 outcomes · 1 weeks/phases · 2 chapters · v1
Workforce reskilling & career architecture
Plan reskilling and redesign roles and career paths for AI-augmented work.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Platform & professional
Process
AI-assisted requirements (Mob Elaboration)
Turn product intent into requirements and units of work with an AI agent and a team.
2 outcomes · 3 weeks/phases · 2 chapters · v1
AI-native SDLC & AI-DLC workflow
Run an AI-Driven Development Lifecycle with Inception, Construction and Operations phases and human approval gates.
2 outcomes · 4 weeks/phases · 3 chapters · v1
Process mining & conformance
Discover processes and check conformance from event logs.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Process modelling with BPMN 2.0
Model current- and future-state processes in BPMN 2.0.
1 outcomes · 1 weeks/phases · 1 chapters · v1
Production
Production & operations
Containerisation, secrets management and CI/CD for agents
Containerisation, secrets management and CI/CD for agents.
3 outcomes · 3 weeks/phases · 0 chapters · v1
Cost and latency optimisation against a quality gate
Cost and latency optimisation against a quality gate.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Failure taxonomy, improvement flywheel, labelling operations and incident response
Failure taxonomy, improvement flywheel, labelling operations and incident response.
5 outcomes · 5 weeks/phases · 0 chapters · v1
Prompt caching & cache-aware context design
Order and version context so provider prompt caches hit, and handle invalidation safely.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Staged rollout, kill switches, scaling and backpressure
Staged rollout, kill switches, scaling and backpressure.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Professional
Executive & technical communication
Present a prioritised business case and requirements package to executive and technical audiences and defend it orally.
2 outcomes · 2 weeks/phases · 2 chapters · v1
Platform architecture (enterprise capstone)
Platform architecture (enterprise capstone).
1 outcomes · 1 weeks/phases · 0 chapters · v1
Teaching & continuous evaluation
Teaching & continuous evaluation.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Team delivery & technical communication
Ship as a team, keep an AI-use log, write runbooks and defend decisions orally.
15 outcomes · 16 weeks/phases · 2 chapters · v1
Protocols & integration
A2A: agent cards, delegation and cross-framework interoperability
A2A: agent cards, delegation and cross-framework interoperability.
1 outcomes · 1 weeks/phases · 0 chapters · v1
MCP authorization, scoping and enterprise hardening
MCP authorization, scoping and enterprise hardening.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Quality
AI-system acceptance criteria & eval thresholds
Write stories and measurable acceptance thresholds for AI features, including data, oversight and fallback.
1 outcomes · 1 weeks/phases · 2 chapters · v1
CI regression gates for AI
Run evaluation suites in continuous integration and block regressions.
7 outcomes · 8 weeks/phases · 2 chapters · v1
Evaluation engineering with golden sets
Build golden datasets and metrics to measure AI system quality.
12 outcomes · 12 weeks/phases · 2 chapters · v1
LLM-as-judge calibration
Use and calibrate model-graded evaluation against human labels.
6 outcomes · 6 weeks/phases · 1 chapters · v1
Retrieval
Embeddings & vector search
Create embeddings and query vector stores such as pgvector or Qdrant.
6 outcomes · 6 weeks/phases · 1 chapters · v1
Hybrid search, chunking & reranking
Tune chunking, combine keyword and vector search and rerank results for production RAG.
9 outcomes · 8 weeks/phases · 1 chapters · v1
RAG pipeline design
Build retrieval-augmented generation pipelines with grounding and citations.
10 outcomes · 10 weeks/phases · 3 chapters · v1
Security
Agent environments & sandboxing
Give agents isolated, reproducible environments with containers, gVisor or Firecracker.
6 outcomes · 6 weeks/phases · 0 chapters · v1
AI red-teaming
Plan and run adversarial testing with tools such as garak and promptfoo.
7 outcomes · 7 weeks/phases · 1 chapters · v1
AI security & prompt-injection defence
Apply OWASP LLM and Agentic Top 10 controls, including prompt-injection defences.
9 outcomes · 8 weeks/phases · 1 chapters · v1
Policy-as-code for agents (OPA, Cedar)
Enforce agent permissions and rules as versioned, tested policy code.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Security & governance
Semantics
Serving & performance
Inference math, capacity planning & load testing
Inference math, capacity planning & load testing.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Quantization: GPTQ, AWQ, GGUF and measured quality cost
Quantization: GPTQ, AWQ, GGUF and measured quality cost.
1 outcomes · 1 weeks/phases · 0 chapters · v1
vLLM serving, PagedAttention & speculative decoding
vLLM serving, PagedAttention & speculative decoding.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Strategy
AI investment & portfolio management
Manage an AI portfolio with risk-adjusted value, stage gates and CPMAI-informed oversight.
1 outcomes · 1 weeks/phases · 1 chapters · v1
AI product metrics
Define and track product and business metrics for AI features.
2 outcomes · 2 weeks/phases · 2 chapters · v1
AI strategy & value pools
Formulate an AI strategy, choose build/buy/partner and align AI to mission.
1 outcomes · 1 weeks/phases · 1 chapters · v1
AI transformation planning
Integrate strategy, governance, people and value into an AI transformation plan.
4 outcomes · 2 weeks/phases · 1 chapters · v1
AI value cases: ROI, TCO & prioritisation
Build value cases with baseline, benefits, TCO, ROI and sensitivity, and prioritise AI use cases.
2 outcomes · 2 weeks/phases · 2 chapters · v1
Model strategy: prompting vs RAG vs fine-tuning
Choose between prompting, retrieval and fine-tuning using evidence.
4 outcomes · 3 weeks/phases · 1 chapters · v1
Organisational AI readiness assessment
Assess data, talent, culture and infrastructure readiness for AI.
1 outcomes · 1 weeks/phases · 2 chapters · v1
Strategy analysis & AI opportunity discovery
Analyse current and future state and identify where AI creates value.
2 outcomes · 1 weeks/phases · 1 chapters · v1
Tools & capability
AI-native editor fluency (Tab, Chat, Inline Edit)
Use predictive editing, chat and inline edits in an AI-native editor fluently and safely.
1 outcomes · 1 weeks/phases · 0 chapters · v1
Read/write separation, propose-commit and dry-run patterns
Read/write separation, propose-commit and dry-run patterns.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Reliability plumbing: timeouts, retries, idempotency, circuit breakers
Reliability plumbing: timeouts, retries, idempotency, circuit breakers.
3 outcomes · 3 weeks/phases · 0 chapters · v1
Tool contract design, descriptions and token-efficient returns
Tool contract design, descriptions and token-efficient returns.
4 outcomes · 4 weeks/phases · 0 chapters · v1
Trust
Bi-temporal modelling and point-in-time queries
Bi-temporal modelling and point-in-time queries.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Multi-level data quality scoring and gates
Multi-level data quality scoring and gates.
2 outcomes · 2 weeks/phases · 0 chapters · v1
Provenance (W3C PROV) and claim-to-cell traceability
Provenance (W3C PROV) and claim-to-cell traceability.
2 outcomes · 2 weeks/phases · 0 chapters · v1