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Course Outline
Module 1. Introduction to Claude and Generative Artificial Intelligence
Topics
- Fundamentals of Generative Artificial Intelligence.
- What is Claude and how does it work?
- Capabilities, scope, and limitations.
- Benefits for executives and leaders.
- Use cases in the business environment.
- Best practices for getting started with AI.
Laboratory
- Platform exploration.
- Initial conversations with Claude.
- Initial setup of the work environment.
Module 2. Claude in Executive Work
Topics
- Workflow: from query to actionable result.
- Loading and analyzing documents (PDF, Word, Excel, and images).
- Context management and conversation continuity.
- Work organization to improve productivity.
- Strategies for obtaining more useful and consistent responses.
Laboratory
- Analysis of documents provided by participants.
- Organization of conversations and work scenarios.
Module 3. Prompt Engineering
Topics
- Principles for building effective prompts.
- Prompt components: context, objective, format, and constraints.
- Advanced techniques to improve results.
- Iterative refinement of responses.
- Creating reusable templates for executive tasks.
- Common errors and best practices.
Workshop
- Prompt design for real business situations.
- Iterative optimization using participant cases.
Module 4. Executive Productivity with Claude
Topics
- Drafting executive emails.
- Creating reports and summaries.
- Executive summaries.
- Meeting minutes.
- Presentation development.
- Drafting commercial and technical proposals.
- Activity and schedule planning.
Laboratory
- Developing real documents using Claude.
- Comparing results with and without AI to evaluate productivity and quality.
Module 5. Information Analysis for Decision-Making
Topics
- Analysis of complex documents.
- Comparison of alternatives and scenarios.
- Identification of risks and opportunities.
- Drafting structured recommendations.
- Organizing information to facilitate decision-making.
Practical Case
- Resolving a business case using Claude.
- Evaluating scenarios with analysis of advantages, risks, and recommendations.
Module 6. Process Optimization with Artificial Intelligence
Topics
- Automation of administrative tasks.
- Idea generation and brainstorming sessions.
- AI-assisted strategic planning.
- Market research and analysis.
- Process documentation and improvement.
- Support for project management.
- Integration with Microsoft 365, Google Workspace, ERP, and CRM.
Measuring Impact
- Productivity indicators.
- Measuring time savings and quality improvement.
- Evaluating return on investment (ROI).
- Adoption and digital maturity indicators.
- Comparison of results before and after AI implementation.
Workshop
- Identification of automation opportunities.
- Estimation of impact and ROI for real cases.
Module 7. Security, Privacy, and Responsible Use of AI
Topics
- Protection of sensitive information.
- Privacy and regulatory compliance.
- Risks associated with AI use.
- Validation and verification of responses.
- Ethical considerations.
- Corporate policies for the responsible use of Artificial Intelligence.
Exercise
- Evaluation of scenarios related to security and compliance.
- Drafting basic guidelines for the responsible use of AI within the organization.
Module 8. Enterprise Use Cases
Topics
Practical cases of Claude application across various sectors:
- Manufacturing.
- Services.
- Finance.
- Healthcare.
- Retail.
- Technology.
Additionally, the following will be analyzed:
- AI adoption trends by industry.
- Success stories.
- Best practices.
- Innovation opportunities through Artificial Intelligence.
Final Project
Each participant will develop a project applied to their work area using Claude to address a real need.
The project will include:
- Definition of the problem or opportunity.
- Prompt strategy design.
- Solution development.
- Results validation.
- Expected benefits.
- Implementation plan.
- Tracking indicators.
- Estimation of return on investment (ROI).
Requirements
- An active Claude account (the free version available on Claude is sufficient for the course).
- A laptop with an updated browser (Chrome, Edge, Firefox, or Safari).
- Stable Internet connection.
- Basic knowledge of productivity tools (email, word processor, and spreadsheets).
- No prior Artificial Intelligence knowledge is required.
Target Audience
- Directors.
- Managers.
- Area leaders.
- Project managers.
- Executives interested in incorporating Artificial Intelligence into their work processes and decision-making.
14 Hours
