Trainings

This program is a practical, hands-on workshop designed to help professionals use Google's AI capabilities to improve workplace productivity, research, communication, planning, and decision-making. Rather than focusing solely on Gemini features, participants will learn repeatable AI workflows that can be applied immediately in real business scenarios.

The workshop combines AI fundamentals, practical prompting techniques, business use cases, and guided exercises to help participants move beyond experimentation and begin using AI as a professional productivity partner.

Target Audience

This course is designed for:

• Business professionals and managers seeking productivity gains

• Marketing, HR, Finance, and Operations teams using digital tools

• Educators and students exploring AI in academic settings

• IT and non-technical staff beginning their AI journey

• Leaders and decision-makers evaluating AI adoption

• General Public: curious about AI but not necessarily technical

Course Outline

Module 1: The New AI-Powered Workplace and Understanding Google Gemini

• The evolution of workplace AI

• How professionals are using AI today

• What is Google Gemini

• Key features and capabilities:

• Gemini models overview (Flash, Pro, etc.)

• Integration with Google ecosystem (Docs, Gmail, Sheets, etc.)

Module 2: Mastering Prompts that Produce Results

• The Anatomy of a Great Prompt

• Professional Prompt Frameworks

Module 3: Gemini for Research and Knowledge Work

• Research acceleration techniques

• Summarizing lengthy materials

• Market and industry scanning

• Competitive intelligence

• Extracting insights from reports

• Information synthesis

Module 4: Gemini for Communication and Content Creation

• Professional emails

• Executive summaries

• Reports and proposals

• Social media content

• Marketing copy

• Presentation outlines

• Meeting preparation

Module 5: Gemini for Planning, Decision-Making, and Productivity

• Brainstorming and innovation

• Strategic planning support

Module 6: Responsible AI in Professional Environments

• Privacy considerations

• AI limitations and hallucinations

• Validating AI-generated outputs

• Governance and compliance considerations

• Human oversight and accountability