In this Claude Certified Associate Foundations (CCAO-F) Certification Prep course, you'll learn:
Domain 1: Prompting & Task Execution
- Create effective prompts for business and technical tasks
- Apply task decomposition techniques to structure complex requests
- Iterate prompts to improve output quality
- Adapt prompting strategies based on task type (analysis, research, drafting, brainstorming)
Domain 2: Output Evaluation and ValidationÂ
- Evaluate Claude-generated outputs for accuracy and completeness
- Identify hallucinations, inconsistencies, and biases in responses
- Apply fact-checking and validation techniques
- Determine when human review or additional verification is required
- Edit, adapt, refine, and compare outputs for the intended audience
- Organize and curate information and select appropriate output formats (artifacts, inline, structured data)
Domain 3: Product and Model Selection
- Select appropriate Claude product features (Projects, research mode, chat, artifacts)
- Differentiate between Claude model types (Haiku, Sonnet, Opus)
- Align model selection with task requirements (cost, speed, quality)
- Understand and manage context limitations and memory considerations (when to restart, summarize, or persist)
Domain 4: Workflow Integration and Solution DesignÂ
- Apply Claude to analyze requirements and use cases
- Leverage Claude for research, planning, and process optimization
- Use Claude to support solution design, development, and iteration
- Integrate Claude into existing workflows to augment or redesign them
- Communicate Claude's value and limitations to stakeholders
Domain 5: Configuration and Knowledge ManagementÂ
- Configure Claude Projects with instructions and knowledge sources
- Manage uploaded knowledge and connectors (e.g., Google Drive, Gmail)
- Create effective system-level instructions
- Inform, maintain, and update Claude configurations, knowledge sources, and instructions
Domain 6: Governance, Risk, and Responsible UseÂ
- Identify appropriate and inappropriate use cases
- Apply data sensitivity, regulatory, and privacy considerations
- Follow organizational AI policies and governance standards
- Understand the ethical implications of AI usage
Domain 7: Troubleshooting and OptimizationÂ
- Identify, diagnose, and resolve issues with underperforming prompts or poor outputs
- Adjust approach based on feedback and results
- Optimize workflows for efficiency and effectiveness