AI For Professionals (50 Hours)

The most important skill in AI. Students begin using tools from Day 1. Each session opens with a 10-minute AI terminology snippet woven into practice.

 

Day 1 : What is GenAI, LLM & Prompt Engineering — Hands-on from the Start

 

📌 Terminology Opener (10 min): What is Generative AI? What is an LLM? What is a prompt? How do they connect?

 

Theory (≤15 min)

• Generative AI: AI that creates new content (text, images, audio, video) rather than just classifying or predicting.
• Large Language Model (LLM): a type of GenAI trained on massive text data to understand and generate human language. Examples: Gemini, ChatGPT, Claude, DeepSeek.
• Prompt Engineering: the skill of writing instructions to an AI model to get the best possible output. It is the most transferable AI skill for any profession.
• Why prompting matters: same AI model, different prompts = completely different quality of output.

 

Hands-on Practice

• Open Gemini. Type a vague prompt: ‘Write something about business.’ Observe the output.
• Now write a specific prompt for the same task. Compare the two outputs side by side.
• Rewrite 5 provided vague prompts into clear, specific prompts and test each one.
• Document: what changed in the output quality when the prompt improved?

 

Tools: Gemini

 

Day 2 : RCTFC Framework — Role, Context, Task, Format, Constraints

 

📌 Terminology Opener (10 min): Tokens and context window — what they mean and why they affect your results.

 

Theory (≤15 min)

• RCTFC is a structured framework for writing high-quality prompts every time.
• Role: tell the AI who it should act as (e.g., ‘You are a senior marketing manager’).
• Context: give background information the AI needs to understand the situation.
• Task: clearly state what you want the AI to do.
• Format: specify how you want the output (e.g., bullet list, email format, table, 200 words).
• Constraints: set limits or rules (e.g., ‘do not use jargon’, ‘keep it under 100 words’, ‘formal tone only’).

 

Hands-on Practice

• Apply the full RCTFC framework to 6 real business tasks: professional email, project report, meeting agenda, job posting, customer complaint response, and executive summary.
• For each task, write the RCTFC components first, then combine them into a single prompt.
• Compare: RCTFC prompt output vs a one-line prompt for the same task.

 

Tools: Gemini, ChatGPT

 

Day 3 : Prompt Techniques — Chain-of-Thought & Few-Shot Prompting

 

📌 Terminology Opener (10 min): ChatGPT vs Gemini — what is different under the hood: training data, knowledge cutoff, web access.

Theory (≤15 min)

• Chain-of-thought prompting: instruct the AI to reason step by step before giving a final answer. Useful for analysis, decisions, and complex tasks.
• Few-shot prompting: provide 2–3 examples inside the prompt so the AI understands the exact pattern or style you want.
• When to use each: chain-of-thought for reasoning tasks; few-shot for style and format replication.

 

Hands-on Practice

• Solve 3 business problems using chain-of-thought: market entry decision, pricing strategy, team conflict resolution — ask AI to think step by step.
• Use few-shot prompting to generate 5 product descriptions matching a provided style example.
• Compare: standard prompt vs chain-of-thought prompt for the same analytical question.

 

Tools: Gemini, ChatGPT

 

Day 4 : Persona Prompting & Tone Control

 

📌 Terminology Opener (10 min): Claude vs DeepSeek vs Grok — what each is best at, and what their free tiers allow.

 

Theory (≤15 min)

• Persona prompting: assign a specific identity and expertise level to the AI to get more relevant, authoritative output.
• Tone control: instruct the AI to write in formal, casual, persuasive, empathetic, or executive tones.
• Why it matters: the same information delivered in different tones produces different business outcomes.

 

Hands-on Practice

• Generate the same business announcement in 4 tones: formal, friendly, persuasive, and executive summary style.
• Build a customer service persona prompt for a Nepali e-commerce brand — define the AI’s role, tone, language, and response rules.
• Test the persona with 5 realistic customer queries and evaluate consistency.

 

Tools: Gemini, Claude (free tier)

 

Day 5 : Iterative Prompting — Refine Until It Is Right

 

📌 Terminology Opener (10 min): Hallucinations — why AI confidently produces wrong information and how to spot it.

 

Theory (≤15 min)

• Iterative prompting: treating AI output as a first draft and using follow-up prompts to refine, expand, shorten, or redirect.
• Key techniques: ‘Make this more concise’, ‘Add a stronger opening’, ‘Rewrite from the perspective of a customer’, ‘Critique your own output and improve it’.
• AI self-critique: asking the AI to evaluate and improve its own response is one of the most powerful refinement techniques.

 

Hands-on Practice

• Start with a deliberately weak prompt. Generate output. Iterate with at least 5 follow-up prompts to reach a polished final result.
• Practice asking AI to critique its own output: ‘What is wrong with this response? Now fix it.’
• Refinement challenge: take a classmate’s AI-generated text and improve it using only iterative prompts — no manual editing.

 

Tools: Gemini

 

Day 6 : Prompting for Business Documents

 

📌 Terminology Opener (10 min): Perplexity vs Gemini — when cited sources and real-time data matter more than creativity.

 

Hands-on Practice

• Batch prompt session — produce all of the following in one hour using well-structured RCTFC prompts:
• A formal business email requesting a partnership meeting.
• A two-page business report on a topic of choice with executive summary, body, and recommendations.
• A SWOT analysis for a fictional Nepali startup.
• A job description for a Digital Marketing Executive position.
• A meeting agenda for a quarterly sales review.
• Review each output, iterate once on the weakest result.

 

Tools: Gemini, ChatGPT

 

Day 7: Chatbot Comparison Lab — Same Task, Four Tools

 

📌 Terminology Opener (10 min): AI and data privacy — what you should never paste into a public chatbot.

 

Theory (≤15 min)

• Different LLMs have different strengths: reasoning depth, writing style, creativity, accuracy, and response format.
• Free tier limitations vary: ChatGPT limits message frequency, Claude has context limits, Gemini offers generous free access.

 

Hands-on Practice

• Run the same 5 business prompts across Gemini, ChatGPT, Claude, and DeepSeek.
• Document results in a comparison table: quality, tone, accuracy, format, and response length.
• Class discussion: which tool performed best for which type of task, and why?
• Decision guide: build a personal cheat sheet — ‘Use X when you need Y.’

 

Tools: Gemini, ChatGPT, Claude, DeepSeek

 

Day 8 : Prompt Library Project

 

📌 Terminology Opener (10 min): When to choose which AI tool — a practical decision framework for professionals.

 

Hands-on Practice

• Build a personal reusable prompt library with a minimum of 10 prompts across 5 business categories: professional communication, research and analysis, HR and recruitment, marketing and content, and financial reporting.
• For each prompt: write the RCTFC breakdown, the final combined prompt, and a sample output.
• Peer swap: exchange prompt libraries with a classmate, test their prompts, and suggest improvements.
• Final output: a Google Doc prompt library that students will use throughout the rest of the course.

 

Tools: Gemini, Google Docs (to store and share library)

Deep mastery of Gemini as the primary AI tool. Students learn every major feature — personalization, Canvas, Deep Research, Gems, Notebooks, and Guided Learning — so they can use Gemini fluently in any professional context.

 

Day 9 : Gemini Interface, Personalization & Importing from Other Chatbots

 

📌 Terminology Opener (10 min): Gemini model versions — Flash, Pro, and Ultra: what differs in speed, reasoning, and capability.

 

Theory (≤15 min)

• Gemini free tier vs Gemini Advanced: capability differences students should know.
• Personalization settings: Gemini can remember your preferences, role, and communication style across sessions.
• Multimodal input: Gemini accepts text, images, audio files, PDFs, and video as input — not just text.

 

Hands-on Practice

• Set up your Gemini account: enable personalization, set your professional role and preferences.
• Import conversation history from ChatGPT into Gemini using the import feature.
• Multimodal practice: upload a PDF document, an image, and ask Gemini questions about each.
• Explore: what happens when you give Gemini an image of a business chart and ask it to analyze trends?

 

Tools: Gemini (personalization, import feature, multimodal input)

 

Day 10 : Gemini Canvas — Writing and Editing Side-by-Side with AI

 

📌 Terminology Opener (10 min): Generative AI vs Agentic AI — what is coming next and how it changes the way we work.

 

Theory (≤15 min)

• Gemini Canvas is a real-time co-editing workspace: the document appears on one side, the AI on the other.
• Canvas features: rewrite, shorten, expand, change tone, and apply inline suggestions without leaving the document.
• Use cases: drafting, editing, restructuring, and finalizing documents entirely within Gemini.

 

Hands-on Practice

• Open Gemini Canvas. Draft a 400-word business proposal from a 3-line brief.
• Use inline tools: shorten the introduction, rewrite the conclusion in a more persuasive tone, expand the middle section.
• Export the final document to Google Docs and format it professionally.
• Compare: writing in Canvas vs copy-pasting from standard Gemini chat — which is faster and cleaner?

 

Tools: Gemini Canvas

 

Day 11 : Gemini Deep Research — Part 1: Understanding the Tool

 

Theory (≤15 min)

• Deep Research is fundamentally different from normal Gemini chat: it creates a multi-step research plan, searches multiple sources, synthesizes information, and provides citations.
• When to use Deep Research: complex industry analysis, competitor research, academic topics, market studies — anything where accuracy and sourcing matter.
• Deep Research generates a visible research plan before executing — students can review and modify it.

 

Hands-on Practice

• Run a Deep Research query on a Nepali industry sector of your choice (e.g., tourism, IT, banking, agriculture).
• Review the auto-generated research plan: what questions did Gemini decide to investigate?
• Annotate the final report: highlight what is useful, what needs verification, and what is missing.
• Identify 3 sources cited in the report and open them to verify accuracy.

 

Tools: Gemini Deep Research

 

Day 12 : Gemini Deep Research — Part 2: Apply and Export

 

Hands-on Practice

• Run a Deep Research competitor analysis for a real Nepali business or brand.
• Export the completed research report to Google Docs.
• Format the exported document: add a cover page, executive summary, and section headings.
• Compare: run the same research query on Perplexity AI. Document differences in depth, sourcing, and format.
• Reflection: which tool is better for which research scenario?

 

Tools: Gemini Deep Research, Perplexity AI, Google Docs

 

Day 13 : Gemini Gems — Building Custom AI Agents

 

Theory (≤15 min)

• Gems are custom AI agents within Gemini: they have a persistent persona, fixed instructions, and a defined purpose.
• Gems differ from regular Gemini chat: every conversation with a Gem starts with the same persona and rules — no need to re-prompt.
• Use cases: a writing coach that always critiques in your preferred style, an interview assistant that always uses your industry’s terminology.

 

Hands-on Practice

• Create Gem 1 — ‘Business Writing Coach’: instructions to review any submitted text and provide specific, constructive feedback on clarity, tone, structure, and professionalism.
• Create Gem 2 — ‘Interview Prep Assistant’: asks interview questions relevant to a specified role, evaluates the student’s answer, and gives a score with improvement tips.
• Test both Gems with real inputs. Refine the instructions based on the quality of outputs.

 

Tools: Gemini Gems

 

Day 14 : Gemini Gems — Advanced and Practical Use

 

Hands-on Practice

• Create Gem 3 — ‘Market Research Analyst’: custom instructions to analyze any product, service, or industry and return a structured market insight report.
• Use all 3 Gems for a connected real-world task: research a market (Gem 3), draft a pitch based on it (standard Gemini), and get the pitch reviewed (Gem 1).
• Compare: identical input to a Gem vs standard Gemini chat — document the difference in output consistency and quality.
• Peer challenge: swap Gems with a classmate and evaluate whether their instructions are clear and effective.

 

Tools: Gemini Gems

 

Day 15 : Gemini Notebooks — Persistent Project Workspaces

 

Theory (≤15 min)

• Gemini Notebooks are persistent project workspaces inside Gemini — similar to ChatGPT Projects or Claude Projects.
• A Notebook maintains context, uploaded files, and conversation history across multiple sessions — unlike a regular chat which resets.
• Use cases: ongoing business projects, research campaigns, semester assignments, client work — anything that spans multiple working sessions.
• Notebooks vs Gems: Gems are reusable AI personas; Notebooks are persistent project spaces where your work lives.

 

Hands-on Practice

• Create 3 Notebooks: ‘Business Plan Project’, ‘HR Resources’, and ‘Marketing Campaigns’.
• In the Business Plan Notebook: upload a relevant document, ask Gemini questions about it, and save the output — the context remains for next session.
• Explore: open a Notebook from a previous session and continue the conversation — verify that Gemini remembers the uploaded content and prior discussion.

 

Tools: Gemini Notebooks

 

Day 16 : Gemini Notebooks — Working Across Sessions

 

Hands-on Practice

• Choose one Notebook and simulate a multi-session project workflow over the single class hour.
• Session A (first 20 min): upload files, define the project scope, ask 5 research questions, save outputs.
• Session B (next 20 min): return to the same Notebook, continue refining outputs, upload an additional document, ask follow-up questions that build on earlier answers.
• Session C (final 20 min): draft a summary document from all Notebook interactions — export to Google Docs.
• Compare: same task done in a fresh Gemini chat vs inside a persistent Notebook — which is more efficient for ongoing work?

 

Tools: Gemini Notebooks, Google Docs

 

Day 17 : Gemini Guided Learning

 

Theory (≤15 min)

• Guided Learning mode in Gemini: the AI acts as an interactive tutor rather than simply providing answers.

• Instead of stating facts, Guided Learning asks questions, checks understanding, corrects misconceptions, and adjusts explanation depth.
• Use cases: learning new business concepts, exam preparation, skill development — any situation where understanding matters more than quick answers.

Hands-on Practice

• Use Guided Learning to deeply understand one BBA concept — choose from: Porter’s Five Forces, Break-even Analysis, SWOT vs PESTLE, or the Marketing Mix.
• Let the AI guide you through the concept interactively — answer its questions, ask clarifying questions of your own.
• Reflection: compare the Guided Learning experience vs asking Gemini the same question normally. Which approach produced deeper understanding?

 

Tools: Gemini Guided Learning

A focused introduction to AI-generated visual and audio content using Gemini and complementary free tools. Detailed AI content creation is covered in Semester 8 — this unit provides foundational practical exposure.

 

Day 18 : AI Image Generation — Gemini Image

 

Theory (≤15 min)

• How text-to-image AI works: a prompt is converted into an image using a diffusion model trained on image-text pairs.
• Prompting for images: describe the subject, style, lighting, background, and mood. Be specific.
• Ethical considerations: avoid generating images of real people, copyrighted characters, or misleading content.
• Business use cases: product mockups, social media visuals, presentation cover images, brand concepts.

 

Hands-on Practice

• Generate a product mockup for a fictional Nepali consumer brand.
• Generate a social media banner for a business event with specific style and color requirements.
• Generate a professional presentation cover image for a quarterly report.
• Prompt refinement exercise: iterate the same image prompt 3 times, improving the description each time, and compare the visual progression.

 

Tools: Gemini image generation (Imagen 3)

 

Day 19 : AI Image Tools Beyond Gemini and Introduction to Video Generation

 

Hands-on Practice

• Compare Gemini Imagen vs Adobe Firefly (free) for the same branding task — evaluate output quality, style control, and ease of use.
• Use Adobe Firefly’s Generative Fill feature to edit and extend a product image.
• Introduction to text-to-video: brief demo of what Google Flow (Veo 2) can generate from a text prompt.
• Create a short 5-second brand video clip for a fictional Nepali startup using Google Flow or Whisk.
• Discuss: what are the current limitations of AI video generation and where is it heading?

 

Tools: Adobe Firefly (free), Google Flow (Veo 2), Whisk

 

Day 20 : AI Music Generation and Google Labs Tools

 

Theory (≤15 min)

• Text-to-music AI: describe a mood, genre, tempo, and instruments — AI generates original audio.
• Business use cases for AI audio: background music for presentations, brand jingles, content creation, event audio.
• Google Labs: a collection of experimental AI tools from Google that are free to try. Not all are production-ready, but they demonstrate what is coming.

 

Hands-on Practice

• Create 2 short audio clips using Gemini music generation: one corporate and professional, one energetic and modern.
• Add the audio to a Canva presentation slide to experience the full visual + audio workflow.
• Google Labs exploration: each student picks one Labs tool (GenType, Opal, Storybook, or Mixboard) and creates something relevant to a business scenario.
• Class share: each student shows what they created and explains how it could be used professionally.

 

Tools: Gemini music generation, Google Labs (GenType, Opal, Storybook, Mixboard

Google AI Studio offers capabilities not available in standard Gemini chat: system prompt engineering, multi-speaker audio narration, and real-time live mode. This unit covers only those exclusive features.

 

Day 21 : Google AI Studio — System Prompt Builder and Custom AI Personas

 

Theory (≤15 min)

• Google AI Studio vs Gemini chat: AI Studio gives direct access to model configuration — system prompts, model selection, temperature, and output formatting.
• System prompts: instructions given to the AI before the conversation starts. They define the AI’s role, tone, rules, and boundaries for every response.
• System prompts are the foundation of every AI product and chatbot you interact with — understanding them is a professional superpower.

 

Hands-on Practice

• Open Google AI Studio. Explore the interface: system prompt field, model selector, and parameter controls.
• Build a custom AI persona for a business scenario of your choice: define the role, communication tone, rules, and output format in the system prompt.
• Test the persona with 10 realistic user queries — evaluate consistency, tone, and quality.
• Iteratively refine the system prompt based on outputs until the persona behaves exactly as intended.
• Export the final system prompt as a text file — this is a reusable professional asset.

 

Tools: Google AI Studio — system prompt builder

 

Day 22 : Google AI Studio — Audio Narration and Live Mode

 

Hands-on Practice

• Single-speaker audio narration: paste a business document or presentation script and generate a professional voice-over.
• Multi-speaker narration: write a short script with two characters (e.g., interviewer and candidate, or sales manager and client) and generate a podcast-style audio dialogue.
• Export the audio and pair it with a presentation in Canva or Google Slides.
• Live mode demonstration: connect your camera or screen and interact with AI in real time — explore use cases such as live presentation coaching, document review, and real-time Q&A.
• Reflection: how could live mode change the way professionals prepare for meetings and presentations?

 

Tools: Google AI Studio — audio narration, live mode

Students already know Word, Excel, PowerPoint, and Canva from previous semesters. This unit focuses entirely on AI integration — what AI adds to tools they already use, not the tools themselves.

 

Day 23 : AI Integration with Microsoft Word

 

Theory (≤15 min)

• Two workflows for AI in Word: use Copilot directly inside Word (Microsoft 365), or draft in Gemini/ChatGPT and paste into Word.
• When to use each: Copilot for quick in-document editing; Gemini/ChatGPT for complex drafting before bringing into Word.

 

Hands-on Practice

• Draft a full business report in Word using AI: generate the structure with AI, fill each section using Gemini, format and finalize in Word.
• Use AI to rewrite a section of a provided poorly-written document — improve clarity, tone, and structure.
• Use AI to shorten a 500-word document to 150 words without losing key points.
• Use AI to translate a business email into formal Nepali and back into English — evaluate quality.
• Draft a contract template and an NDA outline using AI assistance.

 

Tools: Microsoft Copilot in Word, Gemini → export to .docx

 

Day 24 : AI Integration with Excel — Formulas and Data Analysis

 

Theory (≤15 min)

• AI in Excel can generate complex formulas from plain English descriptions, explain existing formulas, suggest corrections, and identify patterns in data.
• ChatGPT Advanced Data Analysis (Code Interpreter): upload a real CSV or Excel file and ask business questions — AI writes and runs code to analyze the data.

 

Hands-on Practice

• AI formula generation: describe 5 complex formula requirements in plain English (VLOOKUP, nested IF, SUMIFS, COUNTIF with conditions, pivot summary) — use AI to write them and apply them to a real dataset.
• Upload a provided sales dataset to ChatGPT Advanced Data Analysis.
• Ask 5 business questions: Which product had the highest revenue? Which month had the lowest sales? What is the average order value by region? Identify the top 3 customers. Show monthly revenue trend.
• Review and interpret the AI-generated analysis — verify accuracy against the raw data.

 

Tools: Copilot in Excel, ChatGPT Advanced Data Analysis

 

Day 25 : AI Integration with Excel — Dashboards and Charts

 

Hands-on Practice

• Upload a business dataset. Ask AI to recommend the most appropriate chart type for each data relationship — and explain why.

• Use AI to generate a pivot table summary in natural language: ‘Show me total sales by product category by quarter.’
• Build a business performance dashboard in Excel with AI guidance: AI recommends the layout, KPIs to display, and chart types — student executes in Excel.
• Use ChatGPT Advanced Data Analysis to identify a trend, anomaly, or insight in the dataset that is not immediately obvious from looking at the raw numbers.
• Export the dashboard and present it to a partner — explain what the AI helped you discover.

 

Tools: Copilot in Excel, ChatGPT Advanced Data Analysis

 

Day 26 : AI Integration with PowerPoint

 

Theory (≤15 min)

• Three tools for AI-powered presentations: Gamma.app (generates full decks from a brief, free), Microsoft Copilot in PowerPoint (edits and refines existing slides), Canva AI Presentations (design-focused generation).
• Workflow: generate structure and content with Gamma.app, then refine design and add speaker notes in PowerPoint.

 

Hands-on Practice

• Open Gamma.app (free). Write a 3-line brief for an investor pitch for a fictional startup.
• Generate a full 10-slide pitch deck from the brief — evaluate structure, content quality, and design.
• Export to PowerPoint. Use Copilot in PowerPoint to: add speaker notes to each slide, rewrite two slides for clarity, and suggest a stronger opening slide.
• Final review: present the deck to a classmate in 3 minutes — get feedback on clarity and flow.

 

Tools: Gamma.app (free), Microsoft Copilot in PowerPoint

 

Day 25 : AI Integration with Canva

 

Hands-on Practice

• Magic Write: use Canva’s built-in AI to generate ad copy, event captions, product headlines, and social media posts directly inside a design.
• AI image generation inside Canva: generate a custom background or product visual using the Canva AI image tool without leaving the design workspace.
• Background Remove: apply to a product photo — place it on a branded background.
• Magic Grab: edit individual elements inside a Canva-generated image.
• Full project: design a complete social media post set for a product launch — 3 formats (feed post, story, banner) using Canva AI tools throughout.

 

Tools: Canva AI (Magic Write, AI image generation, Background Remove, Magic Grab)

Gemini is embedded across Gmail, Docs, Sheets, and Slides in Google Workspace. This unit covers the integrated workflow — AI assistance without ever leaving the tool you are working in.

 

Day 28 : Gemini in Gmail and Google Docs

 

Theory (≤15 min)

• Workspace Gemini vs standalone Gemini chat: integrated AI means you do not need to copy-paste — Gemini reads your existing document or email thread and acts on it directly.
• Key difference from standard Gemini: Gemini in Workspace has context of your actual files, emails, and calendar.

 

Hands-on Practice

• Gmail: use Gemini to draft a professional email from a 3-word prompt. Use smart reply to respond to a thread. Summarize a long email thread into 5 bullet points. Change the tone of a drafted email from informal to formal.
• Google Docs: generate a full document from a topic prompt. Rewrite a poorly structured paragraph. Summarize a 2-page document into 3 sentences. Translate a paragraph into Nepali.
• Compare: doing these tasks in standalone Gemini chat vs Gemini inside Gmail/Docs — which is more efficient?

 

Tools: Gemini in Gmail, Gemini in Google Docs

 

Day 29 : Gemini in Google Sheets and Slides

 

Hands-on Practice

• Sheets: use natural language to generate a formula — ‘Calculate the percentage change between column B and column C for each row.’
• Sheets: ask Gemini to summarize a dataset in plain English: ‘What are the top 3 insights from this data?’
• Sheets: use AI to suggest and create a chart from selected data.
• Slides: take an existing Google Docs outline and use Gemini in Slides to auto-generate a presentation from it in one action.
• Slides: ask Gemini to suggest a more impactful title for each slide and apply the best suggestion.

 

Tools: Gemini in Google Sheets, Gemini in Google Slides

 

Day 30 : Full Google Workspace AI — End-to-End Workflow

 

Hands-on Practice

• Simulate a complete professional business task using only Google AI tools — no external tools allowed.
• Task: prepare a quarterly business review for a fictional company.
• Step 1: Gemini Deep Research — gather industry data and competitive insights.
• Step 2: Google Docs — draft the written review report with Gemini assistance.
• Step 3: Google Sheets — build a data table and chart from provided numbers using Gemini.
• Step 4: Google Slides — generate a presentation from the Docs report using Gemini in Slides.

• Debrief: how long would this have taken without AI? What did AI do well? What needed correction?

 

Tools: Full Google Workspace suite with Gemini integration

Each business function session uses NotebookLM as the grounding layer — students upload real documents relevant to the function first, then use Gemini to generate outputs anchored in actual sources. This mirrors real professional workflows.

 

Day 31 : NotebookLM + AI for Professional Communication

 

📗 NotebookLM Practice Setup: Upload: a company profile PDF, brand guidelines document, and 2 sample professional communications. Ask NotebookLM to extract the communication tone, key messages, and language rules from these documents.

 

Theory (≤15 min)

• NotebookLM is a separate Google product (notebooklm.google.com) that is fundamentally different from Gemini.
• NotebookLM only answers based on documents YOU upload — it cannot hallucinate facts from outside your sources.
• This makes it ideal for document-grounded tasks: policy questions, contract review, research synthesis, and fact-checking.

 

Hands-on Practice

• Use NotebookLM findings to brief Gemini: ‘Based on this company’s tone and style, write a formal partnership email.’
• Draft 4 communication types using AI, grounded in the uploaded company style: press release, internal memo, customer complaint response, and cold outreach email.
• NotebookLM Q&A: ask the Notebook 5 questions about the uploaded documents — verify that answers are grounded in the source, not invented.
• Export all 4 drafted communications to a Google Doc with proper formatting.

 

Tools: NotebookLM, Gemini, Google Docs

 

Day 32 : NotebookLM + AI for HR Tasks

 

📗 NotebookLM Practice Setup: Upload: an HR policy document, an organizational chart, and 2 existing job descriptions. Ask NotebookLM: What are the leave entitlements? What is the appraisal process? What qualifications does a similar role require?

 

Hands-on Practice

• Use NotebookLM answers to inform Gemini — draft a job description grounded in actual company policy and role requirements.
• Generate with AI: a complete shortlisting rubric with weighted criteria, a set of 10 behavioral interview questions, and a formal offer letter template.
• Create an AI-assisted onboarding guide for a new sales executive — draw content from the uploaded employee handbook in NotebookLM.
• Review: which AI-generated HR documents are production-ready and which need human review before use?

 

Tools: NotebookLM, Gemini, ChatGPT

 

Day 33 : NotebookLM + AI for Marketing

 

📗 NotebookLM Practice Setup: Upload: a market research report PDF, a competitor analysis document, and a customer survey summary. Ask NotebookLM: What are the top customer pain points? What differentiates our competitors? What market trends are relevant?

 

Hands-on Practice

• Use NotebookLM insights as the research foundation for all marketing outputs.
• Generate with Gemini: a 1-month social media content calendar with post topics, formats, and publishing schedule.
• Generate: ad copy in 3 variants (awareness, consideration, conversion) for the same product.
• Generate: a set of 10 Instagram captions with relevant hashtag strategies.
• NotebookLM audio feature: generate an audio overview of the uploaded market research report — use it as a team briefing resource.
• Reflection: how does grounding marketing content in real research data change the quality of AI output?

 

Tools: NotebookLM, Gemini, Canva AI

 

Day 33 : NotebookLM + AI for Finance and Operations

 

📗 NotebookLM Practice Setup: Upload: a Profit & Loss statement, a Balance Sheet, and an Annual Report excerpt. Ask NotebookLM: What was the revenue trend over the past 3 years? Which expense category grew fastest? What does management say about risks?

 

Hands-on Practice

• Use NotebookLM to extract key financial figures — then ask Gemini to explain the findings in plain, non-technical business English.
• Draft a financial narrative: a 300-word written explanation of the company’s financial position suitable for a non-finance audience.
• Upload a CSV of business expenses to ChatGPT Advanced Data Analysis — ask it to categorize expenses, calculate percentages, and generate a chart.
• Create an invoice template and a budget variance report template using AI.
• Discussion: where should AI financial analysis be trusted, and where does it require accountant review?

 

Tools: NotebookLM, Gemini, ChatGPT Advanced Data Analysis, Excel + AI

 

Day 35 : NotebookLM + AI for Entrepreneurship and Startups

 

📗 NotebookLM Practice Setup: Upload: an industry report, a feasibility study example, and 2 startup case studies. Ask NotebookLM: What are the critical success factors in this industry? What are common failure reasons for startups in this space?

 

Theory (≤15 min)

• AI compresses the startup validation process significantly — research, analysis, planning, and pitch creation that once took weeks can now be completed in hours.
• The key is grounding AI output in real data — which is exactly what the NotebookLM-first approach achieves.

 

Hands-on Practice

• Based on NotebookLM research findings, use Gemini to generate a full business plan outline for a startup idea of your choice.
• Generate: a feasibility checklist, a competitor landscape summary, and a go-to-market strategy brief.
• Use Gemini Deep Research to validate your startup idea in the context of the Nepali market.

• Use Gamma.app to generate a 10-slide investor pitch deck from your business plan outline.
• Present your startup concept in 3 minutes to the class — AI-generated deck, AI-grounded research.

 

Tools: NotebookLM, Gemini Deep Research, Gemini, Gamma.app

 

Day 36 : NotebookLM — Audio Overviews and Study Use Cases

 

Hands-on Practice

• Upload 4 business documents covering different topics (e.g., marketing, HR, finance, strategy). Generate an audio overview of each — listen to the summaries.
• Podcast feature: use NotebookLM to generate a two-speaker podcast-style discussion of a complex business topic from your uploaded documents.
• Study use case: upload 4 lecture notes or textbook chapters — ask NotebookLM to generate a study guide, a FAQ, and a set of 10 quiz questions.
• Comparison test: ask Gemini (without sources) the same questions you asked NotebookLM. Document where Gemini adds detail and where NotebookLM is more accurate and trustworthy.
• Final reflection: when does grounding AI in your own documents matter most in a professional context?

 

Tools: NotebookLM

AI-powered search tools differ from LLM chat in an important way: they retrieve current, cited information from the web. This unit covers when and how to use them alongside Gemini for professional research.

 

Day 37 : AI Search Tools — Perplexity and Google SGE

 

Theory (≤15 min)

• AI search vs LLM chat: LLMs generate answers from trained knowledge; AI search tools retrieve and synthesize current web content with citations.
• Perplexity AI: returns answers with inline citations and source links — ideal for fact-checking, recent events, and sourced research.
• Google SGE (Search Generative Experience): AI summary at the top of Google Search results — good for quick overviews with source links.
• When to use which: use Perplexity or SGE when you need current data with verifiable sources; use Gemini Deep Research when you need deep synthesis across multiple sources.

 

Hands-on Practice

• Run the same research query on Perplexity AI, Gemini Deep Research, and Google SGE.
• Build a comparison table: which tool returned the most current information, the best citations, the clearest summary, and the most actionable business insight?
• Evaluate: for a business report that will be submitted to a client, which tool’s output would you trust most, and why?

 

Tools: Perplexity AI, Google SGE, Gemini Deep Research

 

Day 38 : AI-Assisted Competitive and Market Research

 

Hands-on Practice

• Choose a real Nepali business or brand. Conduct a full AI-assisted competitor analysis using Perplexity AI for current market data and Gemini Deep Research for strategic depth.
• Structure the analysis: company overview, market position, product/service comparison, pricing strategy, strengths, weaknesses, and market opportunities.
• Synthesize all findings into a structured 1-page research brief in Google Docs.
• Peer review: swap research briefs with a classmate — evaluate credibility, depth, and practical usefulness.

 

Tools: Perplexity AI, Gemini Deep Research, Google Docs

Make.com is a visual, no-code workflow automation platform that connects apps and automates repetitive business processes. Students build 7 progressively complex workflows, culminating in an AI-integrated automation project.

 

Day 39 : Introduction to Automation — Why It Matters for Business

 

Theory (≤15 min)

• Workflow automation: connecting apps so that actions in one app automatically trigger actions in another — without manual intervention.
• com concepts: Scenarios (the automation), Modules (individual app actions), Triggers (what starts the automation), and Operations (each action executed).
• com free tier: 1,000 operations per month — sufficient for learning and small business use.
• Business value: automation eliminates repetitive tasks, reduces human error, and allows professionals to focus on higher-value work.

 

Hands-on Practice

• Create a Make.com account and explore the interface: scenario canvas, module library, and connection manager.
• Build your first scenario: Google Form submission → automatic Gmail notification to the instructor.
• Test the scenario: submit the form and verify the email arrives within seconds.
• Explore the module library: identify 5 apps relevant to a business context that could be connected.

 

Tools: Make.com, Google Forms, Gmail

 

Day 40 : Make.com — Core Business Workflows

 

Hands-on Practice

• Workflow 1: New row added to a Google Sheet → automated email sent to a team member with the row details. Use case: inventory alert, new order notification.
• Workflow 2: Google Form submission → data saved to Google Sheet AND a WhatsApp message sent to a specified number. Use case: customer inquiry or event registration.
• Test both workflows with live data. Debug any errors.
• Reflection: how many hours per week could these two automations save in a real business context?

 

Tools: Make.com, Google Sheets, Gmail, WhatsApp (via Make module)

 

Day 41 : Make.com — Connecting AI to Workflows

 

Theory (≤15 min)

• com can include ChatGPT or Gemini as a module inside a workflow: data enters the scenario, AI processes it, and the result flows to the next step.
• This means AI can automatically summarize, classify, translate, draft, or analyze any data that passes through your automation.

 

Hands-on Practice

• Workflow 3: Google Form response received → Make.com sends it to ChatGPT API → ChatGPT summarizes the response in 3 bullet points → summary emailed to the manager.
• Set up the ChatGPT API module in Make.com: configure the prompt, connect the form data as input, and route the AI output to Gmail.
• Test with 3 different form responses. Evaluate the quality and consistency of the AI summaries.
• Discuss: what other business data could benefit from automatic AI processing inside a workflow?

 

Tools: Make.com, ChatGPT API, Google Forms, Gmail

 

Day 42 : Make.com — Multi-Step Business Automation

 

Hands-on Practice

• Workflow 4: Lead capture form submitted → AI (ChatGPT) qualifies the lead (hot/warm/cold) based on answers → result logged in a CRM Google Sheet → automated follow-up email sent with content tailored to lead quality.
• Workflow 5: New file uploaded to a Google Drive folder → Make.com triggers → AI generates a summary of the file name and type → email notification with summary sent to team.
• Test both workflows end-to-end. Identify where the workflow could fail and add error handling.
• Map the workflow on paper first: identify triggers, data transformations, AI processing, and final actions before building.

 

Tools: Make.com, Google Drive, Google Sheets, ChatGPT API, Gmail

 

Day 43 : Make.com — Marketing and HR Automation

 

Hands-on Practice

• Workflow 6: A Google Sheet content calendar is updated with a new post idea → Make.com triggers → AI generates the full post caption and hashtags → saves to a ‘Ready to Post’ Sheet for review.
• Workflow 7: Job application submitted via Google Form → Make.com sends it to AI → AI extracts name, experience, key skills, and a shortlist recommendation → result appended to a candidate tracking Sheet.
• Test both workflows with realistic sample data.
• Reflection: how do these automations change the day-to-day work of a marketing team or HR department?

 

Tools: Make.com, Google Sheets, Google Forms, ChatGPT API

 

Day 44: Automation Mini-Project

 

Hands-on Practice

• Each student independently designs and builds a complete Make.com automation scenario relevant to a business function of their choice.
• Requirements: minimum 3 modules, at least one AI processing step, a clear business purpose, and live test evidence.
• Each student presents their automation to the class: explain the business problem, demonstrate the workflow live, and describe the value it creates.
• Peer feedback: class evaluates each automation on usefulness, creativity, and execution quality.

 

Tools: Make.com — full student choice of connected apps

A focused, discussion-driven session on the professional and ethical dimensions of AI use — grounded in real examples and relevant to students entering the workforce.

 

Day 45 : Using AI Responsibly in Professional Life

 

Theory (≤15 min)

• Deepfakes and misinformation: AI can generate convincing fake audio, video, and text — professionals must be able to identify and respond to AI-generated misinformation.
• Plagiarism and disclosure: many organizations and academic institutions now require disclosure of AI use — knowing when and how to disclose is a professional responsibility.
• Data privacy: pasting confidential company data, client information, or personal data into public AI tools is a serious security risk.
• Over-reliance: AI is a powerful assistant, but over-reliance without critical evaluation leads to errors, missed nuances, and professional risk.
• Job market reality: AI will not eliminate most jobs, but professionals who use AI effectively will have a significant advantage over those who do not.

 

Hands-on Practice

• Debate (25 min): ‘AI use in professional work should always be disclosed to clients and employers.’ Students argue both sides with structured rebuttals.
• Case study analysis (15 min): review 2 real-world examples of AI misuse in business — discuss what went wrong and what should have been done differently.
• Personal AI use policy (20 min): each student writes a one-page personal AI use policy they would apply in their future workplace — covering disclosure, data privacy, verification, and limits.

 

Tools: No specific AI tools — discussion and reflection session

Students apply everything learned in the course to solve a real business problem using a minimum of 4 AI tools. The capstone demonstrates job-readiness by producing professional deliverables that mirror actual workplace outputs.

 

Day 46 – 48 : Capstone Work Sessions — Build Your AI-Powered Business Solution

 

Theory (≤15 min)

• Capstone brief: choose a real business problem or startup idea. Apply a minimum of 4 AI tools learned in this course to research, plan, communicate, and present a solution.

 

Hands-on Practice

• Deliverable 1 — Research Report: use Gemini Deep Research and NotebookLM with uploaded industry documents to produce a minimum 500-word grounded research report. Export to Word or Google Docs with proper formatting.
• Deliverable 2 — Presentation Deck: create a minimum 8-slide presentation using Gamma.app or Canva AI, refine in PowerPoint. Must include an executive summary slide, problem statement, solution, and recommendation.
• Deliverable 3 — Make.com Automation: design and implement one automation scenario directly relevant to the chosen business problem. Must include at least one AI processing step.
• Optional Deliverable 4 — AI-generated visual: a product image, brand visual, or audio clip created with Gemini Imagen or AI Studio audio narration, relevant to the business scenario.
• Instructor check-in on Day 47: brief progress review for each student or group — course-correct if needed.

 

Tools: Gemini Deep Research, NotebookLM, Gamma.app or Canva AI, PowerPoint, Make.com, Google AI Studio (optional), Gemini Imagen (optional)

 

Day 49 – 50 : Capstone Presentations and Course Wrap-Up

 

Hands-on Practice

• Each student or group presents for 5–7 minutes: demonstrate the tools used (live where possible), walk through the research report, show the presentation deck, and run the Make.com automation live.
• Instructor Q&A after each presentation: justify your tool choices, explain the automation logic, and reflect on what you would do differently.
• Peer evaluation: each student fills a structured feedback form for 3 classmates — rating clarity, tool use, and practical value of the solution.
• Course close (final 20 min): group reflection — what changed in how you work? What will you use from Day 1 at your next job? What do you want to learn next in AI?
• Instructor summary: the AI landscape is changing fast — here is how to stay current after this course ends.

 

Tools: All tools used throughout the course