Claude Certified Associate - Foundations (CCAO-F) with Practice Exam
01
Skill level
All levels
02
Sections
9
03
Lectures
35
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Instructor
Jared M
What's inside
This course includes.
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9
Sections
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35
Lectures
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1
Quiz
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Chapter 1: Certification Overview 2 lectures
Lecture 1.01: What the CCAO-F Certification Measures
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Lecture 1.02: Exam Format, Scoring, Preparation, and Candidate Policies
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+ Chapter 2: Prompting and Task Execution 4 lectures
Lecture 2.01: Building Effective Prompts for Business and Technical Tasks
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Lecture 2.02: Decomposing Complex Tasks into Manageable Steps
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Lecture 2.03: Iterating Prompts to Improve Output Quality
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Lecture 2.04: Adapting Prompts for Analysis, Research, Drafting, and Brainstorming
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+ Chapter 3: Output Evaluation and Validation 6 lectures
Lecture 3.01: Evaluating Outputs for Accuracy and Completeness
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Lecture 3.02: Detecting Hallucinations and Unsupported Claims
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Lecture 3.03: Finding Inconsistencies, Ambiguity, and Reasoning Gaps
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Lecture 3.04: Recognizing Bias and Evaluating Representation
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Lecture 3.05: Fact-Checking and Source Validation
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Lecture 3.06: Human Review, Audience Adaptation, and Output Format
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+ Chapter 4: Product and Model Selection 4 lectures
Lecture 4.01: Choosing Between Chat, Projects, Research, and Artifacts
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Lecture 4.02: Understanding the Haiku, Sonnet, and Opus Model Families
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Lecture 4.03: Balancing Quality, Speed, and Cost
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Lecture 4.04: Managing Context, Memory, and Conversation Boundaries
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+ Chapter 5: Workflow Integration and Solution Design 5 lectures
Lecture 5.01: Analyzing Requirements and Selecting Suitable Use Cases
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Lecture 5.02: Using Claude for Research and Planning
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Lecture 5.03: Finding and Prioritizing Process Improvements
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Lecture 5.04: Designing and Iterating a Claude-Supported Solution
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Lecture 5.05: Integrating Claude and Communicating Value to Stakeholders
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+ Chapter 6: Configuration and Knowledge Management 5 lectures
Lecture 6.01: Configuring a Claude Project for Recurring Work
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Lecture 6.02: Writing Effective Project Instructions
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Lecture 6.03: Selecting and Managing Uploaded Knowledge
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Lecture 6.04: Using Connectors and Respecting Source Permissions
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Lecture 6.05: Maintaining Configurations, Knowledge, and Instructions
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+ Chapter 7: Governance, Risk, and Responsible Use 4 lectures
Lecture 7.01: Identifying Appropriate and Inappropriate Uses
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Lecture 7.02: Data Sensitivity, Privacy, and Regulatory Considerations
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Lecture 7.03: Applying Organizational AI Policies and Governance
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Lecture 7.04: Ethical Judgment, Fairness, Transparency, and Human Accountability
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+ Chapter 8: Troubleshooting and Optimization 3 lectures
Lecture 8.01: Diagnosing Underperforming Prompts and Poor Outputs
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Lecture 8.02: Improving Solutions Through Feedback and Controlled Testing
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Lecture 8.03: Optimizing Workflows for Efficiency and Effectiveness
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Instructors
Taught by people who ship.
JM
Jared M
Instructor
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