Claude Cowork Course

Lesson 1 • Setting Up Your Workspace

Guides students through accessing Claude and configuring a productive environment. Connects interface familiarity to efficient daily use.

Lesson 2 • What Claude Is and Does

Covers Claude's nature as a large language model and its core functional capabilities. Establishes the conceptual baseline for all subsequent skill-building.

Lesson 3 • Understanding Claude's Limitations

Identifies knowledge cutoffs, hallucination risks, and reasoning boundaries. Prepares students to verify outputs and avoid over-reliance.

Lesson 1 • Common Prompting Patterns

Introduces proven patterns such as role assignment, step-by-step requests, and examples. Builds a practical toolkit applicable across task types.

Lesson 2 • Advanced Prompt Techniques

Explores multi-step prompting, conditional logic, and structured output requests. Prepares students for complex, high-stakes professional applications.

Lesson 3 • Prompt Templates and Reuse

Covers building a personal library of reusable prompt templates for recurring tasks. Reduces rework and ensures consistency across projects.

Lesson 4 • Anatomy of an Effective Prompt

Breaks down the components of a well-formed prompt: instruction, context, format, and constraints. Provides a reusable framework for all prompt writing.

Lesson 1 • Content Creation for Channels

Adapts Claude for channel-specific content such as newsletters, social posts, and presentations. Builds versatility across professional communication formats.

Lesson 2 • Editing and Proofreading with AI

Uses Claude for grammar correction, clarity improvement, and structural feedback. Teaches students to treat AI edits as suggestions requiring human judgment.

Lesson 3 • Tone and Audience Adaptation

Trains Claude to adjust tone for different audiences, from executives to clients. Ensures communication remains appropriate and effective across contexts.

Lesson 4 • Drafting Professional Documents

Uses Claude to generate first drafts of emails, reports, and proposals. Establishes a human-in-the-loop drafting workflow for quality control.

Lesson 1 • Fact-Checking and Source Validation

Addresses Claude's limitations in sourcing and teaches external validation workflows. Ensures research outputs meet professional accuracy standards.

Lesson 2 • Extracting Insights from Text

Applies Claude to analyse documents, extract themes, and identify patterns. Builds analytical efficiency for large volumes of text-based information.

Lesson 3 • Building Knowledge Bases

Guides students in using Claude to organise research outputs into structured knowledge repositories. Supports long-term information reuse and team sharing.

Lesson 1 • Building Analytical Frameworks

Uses Claude to co-create structured frameworks for evaluating options and solving problems. Accelerates analytical thinking for complex decisions.

Lesson 2 • Interpreting Data with Claude

Teaches pasting or describing datasets for Claude to interpret trends, anomalies, and insights. Bridges raw data and actionable business understanding.

Lesson 3 • Limitations in Quantitative Analysis

Clarifies where Claude's numerical reasoning may fail and when dedicated tools are required. Prevents costly errors in data-sensitive professional contexts.

Lesson 4 • Generating Reports from Analysis

Converts analytical outputs into professional reports and dashboards using Claude. Connects data interpretation to stakeholder-ready communication.

Lesson 1 • Measuring Productivity Gains

Establishes metrics to quantify time saved and quality improvements from AI-assisted workflows. Supports business cases for broader AI adoption.

Lesson 2 • Mapping Workflows for AI Integration

Identifies which workflow steps benefit most from AI assistance versus human judgment. Creates a structured approach to workflow redesign.

Lesson 3 • Building Repeatable Task Pipelines

Constructs multi-step task pipelines where Claude handles sequential subtasks. Increases consistency and reduces cognitive load on repetitive work.

Lesson 1 • Knowledge Sharing Across Teams

Uses Claude to capture, document, and distribute institutional knowledge efficiently. Reduces knowledge silos and accelerates team onboarding.

Lesson 2 • Building a Culture of AI Literacy

Develops strategies to grow AI fluency across teams through training, feedback loops, and champions. Sustains long-term adoption and continuous improvement.

Lesson 3 • Establishing Team Prompt Standards

Creates shared prompt libraries and style guides to ensure consistent AI outputs across a team. Reduces variability and builds collective capability.

Lesson 4 • Governance and Usage Policies

Defines acceptable use policies, data handling rules, and oversight mechanisms for team AI use. Ensures compliance and reduces organisational risk.

Lesson 1 • Evaluating and Improving AI Outputs

Establishes rigorous quality evaluation frameworks for AI-generated content in high-stakes contexts. Builds professional judgment for when AI outputs are production-ready.

Lesson 2 • Complex Problem-Solving with Claude

Uses structured multi-turn conversations to tackle ambiguous, multi-variable problems. Develops advanced reasoning collaboration between human and AI.

Lesson 3 • AI-Augmented Strategic Planning

Integrates Claude into long-horizon planning processes including roadmapping, forecasting, and scenario planning. Enhances strategic foresight with AI-generated perspectives.

Lesson 4 • Designing AI-Augmented Roles

Reimagines job functions and team structures to maximise human-AI complementarity. Prepares students to lead organisational transformation through AI integration.