Section 6: Multimodal and Deep Research
- Uploading and analyzing many file types: images, PDF, documents and screenshots
- Extracting data from images and documents for further use
- Using Deep Research to research and summarize in depth from multiple sources
- Citing sources and checking credibility
Section 7: Building Specialized Assistants with Gems
- What Gems are and how they differ from ordinary prompting
- Building a Gem: setting role, instructions and supporting knowledge
- Embedding organizational standards and rules into a Gem for consistent results, and sharing across the team
- Workshop: build one Gem for a recurring task, such as a document-draft or report-summary assistant
Section 8: Gemini in Google Meet and Drive
- Using Gemini in Google Meet to take and summarize meeting notes automatically
- Q&A from files and documents in Google Drive
- Searching and summarizing across organizational files, with access-rights and privacy cautions
Section 9: NotebookLM with Gemini
- What NotebookLM is and how it suits research and document summarization
- Building a notebook from your own documents and answering with source citations
- Creating a study guide, summary and audio overview from a document set, and using NotebookLM alongside Gemini
- Workshop: build a notebook from sample organizational documents and ask in-depth questions
Section 10: Automation in the Google Ecosystem
- The concept of automation with Google Workspace
- Connecting work across apps, such as email to document or form to spreadsheet
- Using AI to help build basic scripts and automation (Apps Script) without coding yourself
- Assessing which work to automate and which needs a human check
Section 11: Security, Data Privacy, PDPA and Capstone Project
- What data should and should not go into AI and protecting personal data under PDPA
- The difference between personal and organizational (Workspace) accounts and setting privacy safely
- Capstone project: design an end-to-end Gemini workflow for the learner's routine work, then present and get feedback
- A first-30-days adoption plan and extending AI use in the organization