Coffee Mornings / Learning Sessions

This course provides a foundational understanding of Google Gemini, a multimodal generative AI system capable of processing text, images, code, and more. Participants will explore how Gemini fits within the broader Generative AI and Large Language Model (LLM) ecosystem, and how it can be applied to improve productivity, creativity, and decision- making in business environments.

The session introduces key concepts such as:

• Generative AI fundamentals and LLMs
• Gemini capabilities and integration within Google tools
• Prompt engineering basics
• Real-world business use cases
• Ethical and responsible AI usage

Gemini is designed to help users write, summarize, analyze, and brainstorm more effectively across workflows, making it a key tool for modern digital productivity.

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: Introduction to AI and Generative AI What is Artificial Intelligence (AI)?

• Evolution of AI: Traditional vs Generative AI
• Introduction to Generative AI concepts
• Overview of Large Language Models (LLMs)
• Where Gemini fits in the AI ecosystem

Module 2: Understanding Google Gemini

• What is Google Gemini?
• Key features and capabilities:
  • Multimodal (text, images, audio, code)
  • Productivity and creativity use cases
• Gemini models overview (Flash, Pro, etc.)
• Integration with Google ecosystem (Docs, Gmail, Sheets, etc.)

Module 3: Practical Use Cases and Demonstrations

Writing & content generation

• Summarization and knowledge extraction
• Brainstorming and ideation
• Data interpretation (basic)
• Workflow automation examples
• Live demo or guided exercises

Module 4: Prompt Engineering Fundamentals What is prompting?

• Good vs poor prompts
• Prompt frameworks:
  • Role + Task + Context
  • Iterative prompting
• Prompting for different use cases:
  • Emails, reports, analysis
• Hands-on prompt practice

Module 5: Responsible AI and Limitations AI risks: hallucination, bias, misinformation

• Data privacy and governance considerations
• Human-in-the-loop validation
• Ethical use of AI in business

Participants will be able to receive their unique links sent via ZOOM/ECCP 1-2 days before the scheduled session.

Important Reminders for Paying Participants:

• Invoices will be sent to the registered email address.
• Full payment is required a week before or at least five working days before the event schedule. Please send your proof of payment to trainings@eccp.com and/or accounting@eccp.com.
• No shows and late cancellations will be billed at full cost. Cancellations should be made a week before or at least five working days before the event. Replacement is encouraged.
• The ECCP reserves the right to reschedule or cancel this training program.