This 2-day course, Anthropic Claude: A Complete Guide, is designed to give professionals practical, hands-on skills for using Claude effectively in real work environments. It begins with the foundations of how Claude works, where it fits within the broader AI landscape, and how to use it responsibly in business and government contexts. Participants learn core prompt engineering techniques, including how to structure clear instructions, control outputs, and apply methods such as role-based prompting, few-shot examples, and constraint-driven design. A strong emphasis is placed on working with long-form documents, including summarization, analysis, and extraction of key insights from complex material.
In the second half of the course, the focus shifts from individual prompts to building repeatable, real-world workflows. Participants learn how to design structured AI processes for tasks such as policy analysis, reporting, communication drafting, and decision support. The course also covers advanced techniques including multi-step reasoning, scenario analysis, and generating structured outputs like tables and JSON for operational use. Practical exercises ensure participants can apply these skills directly to their own work contexts.
By the end of the course, participants will be able to confidently use Claude to accelerate analysis, improve writing quality, and streamline information-heavy tasks. More importantly, they will leave with a reusable framework for building AI-assisted workflows that improve speed, consistency, and decision-making across their organization.
Course Outline
Foundations, Prompting, and Core Capabilities
Introduction to Claude and Modern AI Workflows
- What Anthropic Claude is and how it works at a high level
- Where Claude fits in the current AI landscape (vs ChatGPT, Gemini, etc.)
- Key strengths: reasoning, long-context processing, writing quality, safety design
- Common use cases in business and government environments
- What Claude is good at vs what it should not be used for
Responsible AI Use and Limitations
- Understanding safe and appropriate use of Claude
- Data sensitivity, confidentiality, and compliance considerations
- Hallucinations and reliability risks
- When to trust outputs and when to verify
- Best practices for professional environments
Prompt Engineering Fundamentals
- What makes a prompt effective
- Structuring clear instructions for consistent outputs
- Role-based prompting (assigning context or persona)
- Defining tone, format, and output constraints
- Common prompting mistakes and how to avoid them
Basic to Intermediate Prompt Techniques
- Zero-shot prompting (direct instructions)
- Few-shot prompting (examples to guide output)
- Step-by-step instruction design
- Constraint-based prompting (format, length, structure control)
- Iterative prompting for improving results
Working with Documents and Long Context
- Uploading and analyzing long documents
- Summarization techniques (executive, detailed, thematic)
- Extracting key insights and structured data
- Comparing multiple documents
- Identifying risks, gaps, and inconsistencies in text
Hands-On Lab: Foundational Use Cases
- Turning raw documents into executive summaries
- Extracting structured insights from policy or reports
- Drafting clear professional communications
- Practicing prompt refinement and iteration
Advanced Use, Workflows, and Real-World Applications
From Prompts to Workflows
- Moving beyond single prompts to structured workflows
- Identifying repeatable tasks in daily work
- Designing step-by-step AI-assisted processes
- Building reusable prompt templates
- Workflow consistency and standardization
Structured Outputs and Data Formatting
- Generating tables, bullet frameworks, and structured reports
- Creating JSON and structured data outputs
- Formatting outputs for reuse in documents or systems
- Ensuring consistency and machine-readability
- Converting unstructured text into usable formats
Applied Use Cases in Professional Work
- Policy analysis and briefing note creation
- Research synthesis and summarization
- Drafting reports, memos, and stakeholder communications
- Decision support and comparative analysis
- Knowledge consolidation across multiple sources
Improving Accuracy and Output Reliability
- Prompt debugging and refinement techniques
- Iterative improvement loops
- Validating AI outputs for accuracy and bias
- Reducing hallucinations through structured prompting
- Building verification habits into workflows
Advanced Claude Techniques
- Multi-step reasoning workflows
- Scenario analysis and simulation prompting
- Persona-driven analysis (analyst, reviewer, critic)
- Complex task decomposition strategies
- Combining multiple outputs into unified reports
Capstone Exercise: End-to-End AI Workflow Design
- Design a complete AI-assisted workflow based on a real role
- Build prompts for each stage of the workflow
- Generate structured outputs and final deliverable
- Present and refine the workflow for practical use
- Feedback and optimization session
Course Outcome
- Confident, practical use of Claude in professional environments
- Ability to design effective prompts and structured outputs
- Experience building repeatable AI workflows
- Improved speed and quality in analysis, writing, and reporting tasks
- A reusable framework for integrating AI into daily work