Study guides / CCAR-P

Your study plan

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 8 weeks.

01

Week 1

5 lessons
  1. D1 Auditing Tool and Agent Configuration for Capability Bloat Integration
  2. D1 Authentication and Authorisation Gaps in Claude Integrations Integration
  3. D1 Accuracy-Latency Trade-offs and Defending the Configuration Integration
  4. D1 Observability Challenges at Scale and Choosing a Monitoring Strategy Integration
  5. D1 Designing a RAG Pipeline: Chunking and Indexing Integration
02

Week 2

5 lessons
  1. D1 Retrieval Strategies Matched to Data Shape and Query Pattern Integration
  2. D1 Choosing an Integration Mechanism: MCP, API/CLI, or Agent-to-Agent Integration
  3. D1 Progressive Discovery vs a Monolithic Context Strategy Integration
  4. D2 Translating a Business Problem into a Claude-Based Solution Solution Design & Architecture
  5. D2 End-to-End Architecture: Input, Processing, Output and Feedback Loops Solution Design & Architecture
03

Week 3

5 lessons
  1. D2 Workflow, Agentic, or Augmented LLM: Choosing the Pattern Solution Design & Architecture
  2. D2 Multi-Agent Systems and Orchestration Strategy Solution Design & Architecture
  3. D2 Decomposition Techniques for Complex Problems Solution Design & Architecture
  4. D2 Aligning a Design to Business-Value Pillars and SLAs Solution Design & Architecture
  5. D3 Defining Evaluation Metrics: Accuracy, Latency, Cost, Safety and Security Evaluation, Testing & Optimisation
04

Week 4

5 lessons
  1. D3 Evaluation Datasets and Mixed-Methodology Test Frameworks Evaluation, Testing & Optimisation
  2. D3 A/B Testing and Iterative Improvement Evaluation, Testing & Optimisation
  3. D3 Diagnosing Failures: Prompt Failure, Hallucination and Model Mismatch Evaluation, Testing & Optimisation
  4. D3 Optimising Token Usage, Latency and Cost-Performance Evaluation, Testing & Optimisation
  5. D3 Production Monitoring with Logging and Observability Tooling Evaluation, Testing & Optimisation
05

Week 5

5 lessons
  1. D4 Implementing Guardrails and Safety Controls Governance, Safety & Risk Management
  2. D4 Risks, Limitations and Failure Modes of LLM Systems Governance, Safety & Risk Management
  3. D4 Human-in-the-Loop Validation Strategies Governance, Safety & Risk Management
  4. D4 Compliance in the Architecture: GDPR, HIPAA and FedRAMP Governance, Safety & Risk Management
  5. D4 Ethical AI: Bias, Fairness and Transparency Governance, Safety & Risk Management
06

Week 6

5 lessons
  1. D5 Structured Discovery and Requirements Gathering Stakeholder Communication & Lifecycle Management
  2. D5 Communicating Architectural Decisions and Trade-offs Stakeholder Communication & Lifecycle Management
  3. D5 Stakeholder Feedback Loops and Expectation and SLA Alignment Stakeholder Communication & Lifecycle Management
  4. D5 Documenting an Architecture and Giving Implementation Guidance Stakeholder Communication & Lifecycle Management
  5. D5 Supporting the Lifecycle: Discovery, Design, Handoff, Monitoring, Iteration Stakeholder Communication & Lifecycle Management
07

Week 7

5 lessons
  1. D6 Selecting a Claude Model on Cost, Latency and Capability Trade-offs Claude Models, Prompting & Context Engineering
  2. D6 System Prompts, Templates and Guardrails Claude Models, Prompting & Context Engineering
  3. D6 Prompting Techniques: Zero-Shot, Few-Shot and Chain-of-Thought Claude Models, Prompting & Context Engineering
  4. D6 Optimising the Context Window and Managing Token Usage Claude Models, Prompting & Context Engineering
  5. D6 Prompt Reuse: Caching, Modular Prompts and Skills Claude Models, Prompting & Context Engineering
08

Week 8

3 lessons
  1. D7 Configuring Claude Code and Environments for a Team Developer Productivity & Operational Enablement
  2. D7 AI-Assisted Developer Workflows Developer Productivity & Operational Enablement
  3. D7 Debugging and Operational Issue Resolution Developer Productivity & Operational Enablement
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