Study guides / CCAR-P
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A week-by-week checklist built from what you have left to study.
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0 of 38 lessons already done - 38 left, spread across 2 weeks.
01
Week 1
- D1 Auditing Tool and Agent Configuration for Capability Bloat Integration
- D1 Authentication and Authorisation Gaps in Claude Integrations Integration
- D1 Accuracy-Latency Trade-offs and Defending the Configuration Integration
- D1 Observability Challenges at Scale and Choosing a Monitoring Strategy Integration
- D1 Designing a RAG Pipeline: Chunking and Indexing Integration
- D1 Retrieval Strategies Matched to Data Shape and Query Pattern Integration
- D1 Choosing an Integration Mechanism: MCP, API/CLI, or Agent-to-Agent Integration
- D1 Progressive Discovery vs a Monolithic Context Strategy Integration
- D2 Translating a Business Problem into a Claude-Based Solution Solution Design & Architecture
- D2 End-to-End Architecture: Input, Processing, Output and Feedback Loops Solution Design & Architecture
- D2 Workflow, Agentic, or Augmented LLM: Choosing the Pattern Solution Design & Architecture
- D2 Multi-Agent Systems and Orchestration Strategy Solution Design & Architecture
- D2 Decomposition Techniques for Complex Problems Solution Design & Architecture
- D2 Aligning a Design to Business-Value Pillars and SLAs Solution Design & Architecture
- D3 Defining Evaluation Metrics: Accuracy, Latency, Cost, Safety and Security Evaluation, Testing & Optimisation
- D3 Evaluation Datasets and Mixed-Methodology Test Frameworks Evaluation, Testing & Optimisation
- D3 A/B Testing and Iterative Improvement Evaluation, Testing & Optimisation
- D3 Diagnosing Failures: Prompt Failure, Hallucination and Model Mismatch Evaluation, Testing & Optimisation
- D3 Optimising Token Usage, Latency and Cost-Performance Evaluation, Testing & Optimisation
02
Week 2
- D3 Production Monitoring with Logging and Observability Tooling Evaluation, Testing & Optimisation
- D4 Implementing Guardrails and Safety Controls Governance, Safety & Risk Management
- D4 Risks, Limitations and Failure Modes of LLM Systems Governance, Safety & Risk Management
- D4 Human-in-the-Loop Validation Strategies Governance, Safety & Risk Management
- D4 Compliance in the Architecture: GDPR, HIPAA and FedRAMP Governance, Safety & Risk Management
- D4 Ethical AI: Bias, Fairness and Transparency Governance, Safety & Risk Management
- D5 Structured Discovery and Requirements Gathering Stakeholder Communication & Lifecycle Management
- D5 Communicating Architectural Decisions and Trade-offs Stakeholder Communication & Lifecycle Management
- D5 Stakeholder Feedback Loops and Expectation and SLA Alignment Stakeholder Communication & Lifecycle Management
- D5 Documenting an Architecture and Giving Implementation Guidance Stakeholder Communication & Lifecycle Management
- D5 Supporting the Lifecycle: Discovery, Design, Handoff, Monitoring, Iteration Stakeholder Communication & Lifecycle Management
- D6 Selecting a Claude Model on Cost, Latency and Capability Trade-offs Claude Models, Prompting & Context Engineering
- D6 System Prompts, Templates and Guardrails Claude Models, Prompting & Context Engineering
- D6 Prompting Techniques: Zero-Shot, Few-Shot and Chain-of-Thought Claude Models, Prompting & Context Engineering
- D6 Optimising the Context Window and Managing Token Usage Claude Models, Prompting & Context Engineering
- D6 Prompt Reuse: Caching, Modular Prompts and Skills Claude Models, Prompting & Context Engineering
- D7 Configuring Claude Code and Environments for a Team Developer Productivity & Operational Enablement
- D7 AI-Assisted Developer Workflows Developer Productivity & Operational Enablement
- D7 Debugging and Operational Issue Resolution Developer Productivity & Operational Enablement