AI For Office Productivity

• How AI is changing workplaces in Nepal and globally

• Overview of all tools covered in the course

• Live demo: impressive AI outcomes students will achieve

• Course structure, schedule, and enrollment process

• Q&A session

• Get excited about practical outcomes from the course

• Know exactly what to expect from Level 1

• Make informed enrollment decision

• Setting up Gemini account and interface walkthrough

• Understanding prompts — what makes a good prompt vs bad prompt

• Prompt techniques: clarity, context, role-based prompting

• Gemini Deep Research — finding and summarizing information automatically

• Practical: Write 5 prompts relevant to your own work

• Practical: Run a Deep Research task on a real topic

• Write clear and effective prompts for professional tasks

• Use Deep Research to save hours of manual research

• Apply prompt engineering to real workplace scenarios

• ChatGPT — strengths, unique features (GPTs, image upload, voice mode)

• Claude — strengths, unique features (long documents, coding, analysis)

• DeepSeek — strengths, unique features (reasoning mode, free access)

• Meta AI — strengths, unique features (social media integration)

• Side-by-side comparison: same prompt, different tools

• Practical: Test all four tools with one real work problem

• When to use which tool — decision guide

• Choose the right AI tool for each type of task

• Use unique features of each tool that others don’t offer

• Build confidence switching between tools as needed

• Creating and organizing notebooks for different work projects

• Uploading documents, PDFs, and files into Gemini Notebook

• Asking questions and generating insights from your own documents

• What are Gems — creating personalized AI assistants

• Building a custom Gem for your specific job role

• Practical: Create a notebook for a real ongoing work project

• Practical: Build one custom Gem relevant to your work

• Query and extract insights from your own documents using AI

• Create personalized AI assistants tailored to specific job roles

• Maintain context across multiple AI sessions for ongoing projects

• Setting up NotebookLM and uploading source documents

• Supported file types: PDF, Google Docs, text, YouTube links, websites

• Asking questions directly from your uploaded documents

• Generating summaries, key points, and study guides

• Creating FAQ documents from source materials

• Practical: Upload 2-3 work documents and extract key insights

• Practical: Generate a structured summary from a long document

• Ask precise questions and get answers grounded in your own documents

• Generate summaries and structured outputs from long documents

• Save significant time on document review and research tasks

• Customizing Audio Overview for specific audiences and purposes

• Interactive Q&A with NotebookLM during Audio playback

• Mind maps and visual concept generation from documents

• Creating presentation outlines from source materials

• Combining multiple sources into one unified knowledge base

• Practical: Generate an Audio Overview from a real work document

• Practical: Build a multi-source notebook for a work project

• Build multi-source knowledge bases for research and projects

• Create visual mind maps and presentation outlines automatically

• Use NotebookLM as a complete document intelligence workspace

• Real examples: tasks that can be automated in offices and schools

• Introduction to Make.com — interface walkthrough

• Key concepts: Scenarios, Modules, Triggers, Actions, Filters

• Setting up Make.com account and connecting first app

• Understanding the flow: Trigger → Action → Result

• Practical: Build first scenario — Gmail to Google Sheets logger

• Testing and activating a scenario

• Navigate Make.com interface confidently

• Understand core automation concepts: triggers, actions, filters

• Build and activate a simple two-step automation scenario

• Multi-step scenarios — chaining more than two apps together

• Working with data: mapping fields between apps

• Filters and conditions — automating only when specific criteria are met

• Practical Scenario 1: Form submission → Google Sheet → Email notification

• Practical Scenario 2: New file in Google Drive → Send alert notification

• Error handling basics — what to do when a scenario fails

• Scheduling automations — running scenarios at specific times

• Map data fields between different applications correctly

• Apply filters so automations run only when conditions are met

• Schedule automations to run automatically without manual intervention

• Using HTTP module to connect external APIs

• Practical Scenario: Receive form response → summarize with AI → send email

• Practical Scenario: New document uploaded → auto-generate summary → log to sheet

• Webhooks — triggering scenarios from external events

• Cloning and reusing existing scenarios

• Troubleshooting common Make.com errors

• Planning your own automation: identifying repetitive tasks at work

• Use webhooks to trigger automations from external events

• Build AI-powered automation scenarios relevant to professional work

• Independently plan and design automation for real workplace tasks

• Students identify one repetitive task from their own work

• Planning session: mapping out the automation flow on paper first

• Building the automation scenario independently in Make.com

• Testing, troubleshooting, and refining the scenario

• Student presentations: each student explains their automation

• Peer feedback and instructor review

• Course wrap-up: next steps, Level 2 introduction, resources

• Apply all course learning to a real problem from your own workplace

• Present and explain an automation workflow clearly

• Know exactly what Level 2 Specialized Training offers as the next step

AI Tools for Working Professionals

10 Days | Free Tools Only

AI-Powered Productivity for Educators

20 Days | Specialized & Advanced Tools