Claude Certified Associate – Foundations (CCAO-F) Exam Prep
Prepare for Anthropic's Claude Certified Associate – Foundations exam: prompting, checking Claude's output, choosing models and features, workflows, Projects, governance and troubleshooting. 25 lessons, each with a video, exam traps and self-checks. No coding needed.
This free, self-paced course is designed for beginner learners in ai & machine learning. Work through the lessons in order, use the objectives below as a checklist, and practice against real systems rather than memorizing slide labels. Estimated time: ~3.5 hours across 25 lessons.
Prerequisites
- Regular use of Claude (or another AI assistant) for work tasks
- No coding or API experience required
Course Curriculum
Each lesson is a focused read. Open one, complete any self-checks or exercises, then mark progress in this browser before moving on.
Prompt Engineering Techniques
6 min
Task Decomposition Strategies
6 min
Prompting Strategy by Task Type
6 min
Human-in-the-Loop Escalation
7 min
Evaluating Output for Accuracy and Completeness
7 min
Identifying Hallucinations, Inconsistencies and Bias
6 min
Editing and Adapting Outputs for the Intended Audience
6 min
Choosing Output Formats
7 min
Context Window Management
7 min
Claude Model Selection and Tradeoffs
6 min
Selecting the Right Claude Product Feature
7 min
Translating Business Requirements into Claude Solutions
6 min
Communicating AI Decisions and Value to Stakeholders
7 min
Using Claude for Research, Planning and Solution Development
7 min
Integrating Claude into Existing Workflows
6 min
System Prompts and Instructions
6 min
Configuring and Maintaining Claude Projects
7 min
Managing Uploaded Knowledge and Connectors
7 min
Regulatory Compliance for AI Systems (GDPR, HIPAA, FedRAMP)
8 min
Ethical AI Considerations (Bias, Fairness, Transparency)
7 min
Identifying Appropriate vs Inappropriate AI Use Cases
6 min
Following Organizational AI Governance Policy
8 min
Diagnosing Underperforming Prompts and Weak Output
7 min
Adjusting Approach Based on Feedback and Results
6 min
Optimizing AI Workflows for Efficiency
7 min
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