Tools: None (conceptual). All roles

Why this matters: Set expectations, build trust in ethical Al use, and align the group on building a portfolio by the end of the program.

Real-world use case: “By the end of this program you’ll have at least 3 portfolio pieces: e.g. a mini marketing kit, an automated workflow or chatbot, and one end-to-end project (e.g. campaign + automation).”

Content outline

• Welcome, schedule, and how sessions will run (hands-on every time).
• What is Al in daily work: content, marketing, support, productivity (no jargon).
• Ethical Al use: fairness, privacy, accountability, not taking content or misleading others (short, practical guidelines).
• Portfolio mindset: what we’ll build in Sessions 9, 15, and the capstone (Session 22), and how to use it for jobs/freelance.
• Quick poll: who does content, marketing, support, data, or productivity today?

By the end: Everyone knows the roadmap, agrees on ethical basics, and is ready to start prompt engineering next session.

Tools: ChatGPT and/or Google Al Studio (Gemini) or Claude – free tiers. All roles Marketing Content Testers

Why this matters: Good prompts = better outputs for every tool we use later (copy, summaries, images, workflows).

Real-world use case: “Turn a one-line idea into a clear blog outline and then into a short social post.”

Content outline

• What is a prompt: role, task, context, format (simple framework).
• Hands-on: write a bad prompt vs a good prompt; compare outputs.
• Hands-on: “You are a marketing writer. Write a 3-bullet blog outline for [topic]. Then write one Instagram caption.”
• Tips: be specific, give examples when needed, ask for step-by-step or bullet points.
• Try it yourself: use your own product or service and get one outline + one caption.

By the end: Everyone has written at least 2 improved prompts and seen the difference in quality.

Tools: Google Al Studio (aistudio.google.com) – free. Testers Analysts Marketing

Why this matters: Free, powerful way to prototype ideas and get test cases, summaries, and structured text without code.

Real-world use case: “Turn one user story into 5 test cases in 2 minutes” or “Summarise a long article into 5 bullet points.”

Content outline

• Sign up and create a new prompt in Google Al Studio.
• Hands-on: paste a short user story → ask Gemini to generate 5 test cases (positive + negative).
• Hands-on: paste a 500-word article → ask for a 5-bullet summary.
• Brief note on rate limits (free tier) and when to “wait and retry”.
• Try it yourself: use your own requirement or article and get test cases or summary.

By the end: Everyone has used Google Al Studio for at least one test-case and one summarization task.

Tools: Rytr, Canva Magic Write, or Adobe Express – free tiers. Marketing Content creators Copywriters Social media

Why this matters: Speed up emails, ad headlines, and social captions for your job or freelance.

Real-world use case: “Create a short email sequence (welcome + one follow-up) and 3 social captions for a product launch.”

Content outline

• Pick one tool: Rytr, Canva (Magic Write), or Adobe Express; show free tier limits.
• Hands-on: choose a template (e.g. email, social post) and generate copy from a one-line brief.
• Hands-on: generate 3 variations of one caption; pick and tweak the best.
• When to use which: quick social (Canva/Adobe Express), longer copy (Rytr).
• Try it yourself: create one email and one social post for your own use case.

By the end: Each person has produced at least one email and one social caption using Al.

Tools: ChatGPT, Gemini, or Claude; NotebookLM; Fireflies.ai; Mem; Genius Sheets; Microsoft Copilot (optional). Analysts Project managers Admins Researchers

Why this matters: Cut reading time for long reports, meetings, and articles; stay organized and build reports from prompts—so you can act faster.

Real-world use case: “Summarise a long article or meeting notes into key action items; or build a report/financial model from a text prompt in Sheets; or keep notes and tasks organized with Al.”

Content outline

• Paste long text (article or mock meeting notes) into ChatGPT/Gemini/Claude; ask for “5 bullet points + 3 action items”.
• Hands-on: NotebookLM – go to notebooklm.google.com; create a notebook; upload 2 sources (e.g. a PDF and a Google Doc, or paste a webpage); ask 3 questions grounded in your sources (answers cite the source); use Studio to generate one output (e.g. Study guide or Briefing). Optional: try Audio Overview for a podcast-style summary. Great for researchers, analysts, and anyone preparing reports or exam prep.
• Hands-on: Fireflies.ai – how it joins meetings and creates transcripts + action items (for PMs, admins, consultants).
• Mem (get.mem.ai): Al-driven self-organizing workspace—gather information from diverse sources, automate routine tasks, keep individuals and teams organized. Quick demo: capture notes, link sources, let Mem surface relevant context.
• Genius Sheets (geniussheets.us): Al-powered tool that analyses text prompts in real time inside Excel or Google Sheets-build reports and financial models from natural language. Hands-on: try one prompt (e.g. “summarise this data by region” or “create a simple P&L table”) in your workbook. Great for analysts and anyone working with spreadsheets.
• Optional: show Copilot in Edge or Word for “summarise this page/document”.
• Try it yourself: summarise something you needed to read this week; try Fireflies on your next call; or build one small report in Genius Sheets from a prompt.

By the end: Everyone has summarised at least two pieces of content and extracted action items once.

Tools: Canva Al, Adobe Express, Google Gemini (image), Microsoft Copilot Designer – free tiers. Designers Marketing Social media Brand

Why this matters: Create marketing visuals and social graphics without a designer.

Real-world use case: “Generate a hero image for a blog or a product-style image from a text description.”

Content outline

• Prompting for images: subject, style, mood, simple composition.
• Hands-on: Canva or Adobe Express – use Magic Media / text-to-image or Express Al; generate one image; refine prompt once.
• Hands-on: Gemini or Copilot Designer – same prompt; compare outputs.
• When to use which: Canva/Adobe Express (designs + text overlay), Gemini/Copilot (standalone images).
• Try it yourself: create one image you could use for a real post or slide.

By the end: Everyone has generated at least 2 images and improved one prompt.

Tools: Canva (free), Adobe Express, Gamma (gamma.app). Marketing Designers Social media

Why this matters: Use Canva or Adobe Express to go from idea to finished post or ad for Instagram, Linkedin; Gamma for full presentations and pitch decks.

Real-world use case: “Create a complete Instagram post (image + caption) and a simple Linkedln graphic in Canva or Adobe Express; or a short pitch deck in Gamma from an outline.”

Content outline

• Pick a template in Canva or Adobe Express (e.g. Instagram post); replace text with Magic Write / Express or your copy.
• Hands-on: add or replace one element with an Al-generated image.
• Hands-on: resize or duplicate for another format (e.g. story or LinkedIn).
• Gamma (gamma.app): For full presentations or pitch decks – sign up (free tier); paste an outline or topic; let Gamma generate a designed deck in minutes. Optional: create one short deck from a 3-bullet outline.
• Export and quality check (resolution, readability).
• Try it yourself: produce one post and one alternate format for the same message; or one Gamma deck from your own topic.

By the end: Each person has one polished social post and one alternate format ready to use; optional: one Gamma deck.

Tools: ChatGPT/Gemini (brief → copy), Rytr, Canva, Adobe Express. Marketing Content Brand

Why this matters: Run a mini campaign yourself: one message, multiple formats (email, social, visual).

Real-world use case: “You have one product launch sentence. Create: 1 email subject + body, 2 social captions, 1 visual.”

Content outline

• Start with one sentence brief; use Al to expand into key messages and tone.
• Hands-on: generate email subject + short body (ChatGPT/Rytr) and 2 social captions.
• Hands-on: create one visual in Canva or Adobe Express that matches the message.
• Quick checklist: message consistent? CTA clear? Suitable for India/regional audience if relevant?
• Try it yourself: do the same for a real or practice product/service.

By the end: Everyone has a mini campaign: one email, two captions, one visual.

Tools: Any from Sessions 2-8 (prompting, copy, Canva, Adobe Express, Gamma, images). Marketing Designers Freshers (portfolio)

Why this matters: First portfolio piece: something you can show in interviews or to a client.

Real-world use case: “Deliver a mini marketing kit: logo idea or brand visual + 1 social post + 1 email (or short PDF one-pager or Gamma pitch deck).”

Content outline

• Choose: personal brand, local business, or fictional product.
• Hands-on: create 1 hero/brand image, 1 social post (image + caption), 1 email or one-pager – or a short pitch deck in Gamma.app from a 3-5 slide outline.
• Save and name files for portfolio (e.g. “Marketing Kit – [Your Name]”).
• Optional: 5-minute share – 2-3 participants show their kit and one thing they learned.
• Try it yourself: add one more format (e.g. story or WhatsApp status size) after the session.

By the end: Each person has a portfolio-ready mini marketing kit (3+ assets).

Tools: None new; screen-share or short presentations. All roles

Why this matters: Reinforce learning and get peer feedback before moving to video and automation.

Real-world use case: “Present your marketing kit in 3 minutes: what you made, which tools, one challenge.”

Content outline

• Volunteers present their Session 9 kit (3 min each); others give one positive + one suggestion.
• Recap: prompt engineering, copy tools, Canva, Adobe Express, image generation – when to use what.
• Preview Week 3: video, voice, chatbots, automation.
• Q&A and any catch-up for people who missed a session.

By the end: Clear picture of what’s working; everyone ready for video and automation.

Tools: None. All roles

Why this matters: Halfway through the program-clarify doubts, catch up on missed sessions, and share the step-by-step PDF for Session 10’s practice.

Real-world use case: “Get unstuck, see others’ questions, and leave ready for video, voice, and automation.”

Content outline

• Share the step-by-step PDF guide for Session 10’s between-session practice.
• Open Q&A: prompts, Google Al Studio, copy tools, Canva, Adobe Express, Gamma, marketing kit-anything from Sessions 1-10.
• Quick recap: what’s coming in Sessions 12-23 (video, voice, chatbots, automation, OpenClaw, Lovable, Al for coders, integration, capstone, showcase).
• Optional: 1-2 volunteers share one win or one challenge from the first half.

By the end: Doubts addressed; everyone has the Session 10 practice PDF and is set for the second half.

Tools: InVideo Al, Canva Video, or Adobe Express – free tiers. Video editors Content creators Marketing

Why this matters: Short videos for social or internal comms without a camera or editing skills.

Real-world use case: “Turn a 100-word script into a 30-60 second video with Al-generated visuals and/or stock.”

Content outline

• Write or paste a short script (or use ChatGPT to generate one).
• Hands-on: InVideo Al, Canva, or Adobe Express – create a video from text; pick template and style.
• Add or generate visuals; trim to 30-60 seconds.
• Export (free tier limits: resolution/watermark – mention upfront).
• Try it yourself: make a second clip with your own script or a different style.

By the end: Everyone has created at least one short Al-assisted video.

Tools: ElevenLabs, Acoust Al or Speechify (voice); Canva or Adobe Express (subtitles); Descript (edit audio/video like a doc). Video editors Podcasters Content creators

Why this matters: Add professional voiceover and captions; ElevenLabs is widely used for high-quality synthesis and voice cloning; edit podcasts or videos by editing text (Descript).

Real-world use case: “Add an Al voiceover to a 30-second script with ElevenLabs (or Acoust Al/Speechify) and auto-generate subtitles; or edit a short clip in Descript by editing the transcript.”

Content outline

• Hands-on: ElevenLabs – sign up (free tier); paste a short script; choose voice and language; generate and download audio. Mention voice library and optional cloning (paid).
• Ethics (voice cloning & deepfakes): Brief note on responsible use-impersonation without consent, misuse for fraud or misinformation, and deepfakes can cause harm. Use voice cloning only with clear consent and for legitimate purposes (e.g. your own voice, authorized content); do not impersonate others or create misleading audio.
• Hands-on: same script in Acoust Al or Speechify; compare output. When to use which: ElevenLabs for quality and variety; others for quick free options.
• Hands-on: upload a short video (or use Session 12 output) and generate auto-captions in Canva or Adobe Express.
• Hands-on: Descript – upload audio or video; edit by cutting/editing the transcript; add filler-word removal (great for podcasters & video editors).
• Edit captions for accuracy; adjust placement if needed.
• Try it yourself: add voiceover with ElevenLabs + captions to one video; or clean one short podcast clip in Descript.

By the end: Everyone has produced one voiceover and one captioned clip.

Tools: Zapier Chatbots or Tidio – free no-code chatbot options. Support Customer success Marketing (leads)

Why this matters: Automate first-line FAQs and lead capture for a website or page.

Real-world use case: “Build a simple FAQ bot that answers 3 questions and collects name/email.”

Content outline

• Pick Zapier Chatbots or Tidio; sign up (free, no credit card where possible).
• Hands-on: add 3 FAQ pairs (question → answer).
• Hands-on: add a “collect lead” step (name, email).
• Embed or share test link; test on mobile and desktop.
• Try it yourself: add 2 more FAQs or change the welcome message.

By the end: Each person has a working FAQ chatbot they can share or embed.

Tools: Zapier, Make.com, Browse Al (browse.ai). Ops Admins Marketing ops Analysts Researchers

Why this matters: Connect apps so routine tasks happen automatically; extract and monitor data from websites with no code.

Real-world use case: “When someone submits a form, add a row to a sheet and send a confirmation email; or set up a robot to extract job listings, prices, or news from a website and get alerts.”

Content outline

• Trigger → action: explain with one example (e.g. Google Form → Google Sheet + Gmail).
• Hands-on: create one Zap (Zapier) or Scenario (Make.com): form submit → sheet + email (or similar). Make.com offers more steps on free tier; Zapier is very beginner-friendly.
• Browse Al (browse.ai): No-code web automation for data extraction and monitoring from any website-set up a robot in about two minutes. Use cases: track job postings, prices, news, or competitor updates; send data to sheets or email. Hands-on: create one monitoring robot for a simple page (e.g. a list or table) and see how extracted data can feed into your workflow.
• Test with a real submission; show where to see runs and errors.
• Free tier limits: tasks per month (Zapier/Make); suggest one more idea (e.g. save email attachments to Drive, or monitor a site with Browse Al).
• Try it yourself: duplicate and change one step (e.g. add Slack notification); or add a Browse Al robot for a site you care about.

By the end: Everyone has built and tested one automation.

Tools: Zapier Chatbots or Tidio; Zapier or Make.com. Support Ops Freshers (portfolio)

Why this matters: Second portfolio piece: proof you can build support or workflow automation.

Real-world use case: “Deliver either (a) a small chatbot for a real or fictional business, or (b) an automation that saves you 5 minutes a week.”

Content outline

• Choose: chatbot (Session 14) or automation (Session 15).
• Hands-on: build it with a clear purpose (e.g. “FAQ for X” or “Form → Sheet → Email for Y”).
• Document: 2-3 sentences describing what it does and which tools you used.
• Optional: share link or screen-share; 2-minute demo.
• Try it yourself: add one more trigger or response after the session.

By the end: Each person has a second portfolio piece (chatbot or automation) with short documentation.

Tools: OpenClaw (openclaw.ai), Telegram. Freshers (portfolio) Ops Power users

Why this matters: Your own Al assistant in Telegram-self-hosted, so your data stays on your machine; always on, with persistent memory and optional reminders or automation.

Real-world use case: “Chat with your personal Al from your phone via Telegram: ask for summaries, draft messages, get reminders, or run small tasks—all through a bot you control.”

Content outline

• What is OpenClaw: self-hosted gateway that connects Al agents to Telegram (and Discord/WhatsApp). Open-source; Node.js 22+ and an API key (e.g. Anthropic) needed for the Al-OpenClaw itself is free.
• Hands-on: install OpenClaw (docs.openclaw.ai); create a Telegram bot via BotFather and get the token.
• Hands-on: configure OpenClaw with your bot token and API key; run the gateway ( openclaw gateway ); pair your Telegram account.
• Chat with your assistant in Telegram (DM or group); try a few tasks: “Summarise this in 3 bullets,” “Draft a short email for….” “Remind me in 10 minutes to…” (if reminders are enabled).
• Brief note: data and context live on your machine; you can add skills or automation later. Optional: show Discord/WhatsApp in docs for follow-up.
• Try it yourself: use your Telegram assistant for one real task this week; consider adding it as a portfolio piece (“Self-hosted Al assistant on Telegram”).

By the end: Everyone has a working personal Al assistant in Telegram, with pairing and at least one successful chat.

Tools: Lovable (lovable.dev), Imagica (imagica.ai). Freshers (portfolio) Product/ops Freelancers

Why this matters: Show you can go from “I want an app that does X” to a working web app or Al app without code.

Real-world use case: “Build a simple leave-request or feedback form app (Lovable); or construct an Al app from your idea with Imagica.”

Content outline

• Lovable: sign up; explain free tier (credits, public projects). Hands-on: describe the app in 2-3 sentences (e.g. “A form with name, dates, reason; submit and show a thank-you message”). Iterate: add one field or change one label.
• Imagica (imagica.ai): No-code Al development platform—build Al apps from your ideas. Compare with Lovable: Imagica focuses on Al-powered apps and workflows from natural language. Hands-on: try building a small Al app (e.g. a simple Q&A or summarization flow) and share the link for portfolio.
• Share or export link for portfolio. When to use which: Lovable for forms and web Uls; Imagica for Al-centric apps.
• Try it yourself: change the form to a different use case (e.g. contact or event registration); or extend your Imagica app with one more feature.

By the end: Everyone has built and shared one small app with Lovable and/or Imagica.

Tools: Hugging Face (huggingface.co/spaces), Ollama (ollama.com). Testers Analysts Researchers Freshers

Why this matters: Try Al models in the browser (no install) or run them locally with Ollama for privacy and no API costs.

Real-world use case: “Summarise or translate with a Space; run Llama or Gemma on your laptop for private, offline use.”

Content outline

• Hugging Face Spaces: Go to Spaces; pick a popular Space (e.g. summarization or translation). Paste text; get result; note first-load time (20-30 s). Try a second Space (e.g. sentiment or image caption). When to use: quick experiments, no API key.
• Ollama: Download from ollama.com (Mac/Windows/Linux). In terminal: ollama run llama3.2 Or ollama run gemma2 ; chat in the terminal. Explain: data stays on your machine, no API key, good for sensitive or offline work. System needs: 8GB+ RAM for smaller models.
• Compare: when to use cloud (Spaces, ChatGPT) VS local (Ollama) – privacy, cost, offline.
• Try it yourself: use one Space for a real task; if you have the hardware, run one Ollama model and ask it one question.

By the end: Everyone has used at least 2 Hugging Face Spaces; optional: run one model in Ollama.

Tools: Cursor (cursor.com), GitHub Copilot (github.com/features/copilot). Developers Testers Freshers (code)

Why this matters: GitHub Copilot is an Al-powered programming assistant that accelerates coding so you can tackle larger issues and maintain your workflow; Cursor offers similar power in an Al-first IDE.

Real-world use case: “Describe what you want in plain English; get code, tests, or a fix. Use Al to speed up scripts, test cases, or a small feature.”

Content outline

• What is Al-assisted coding: inline suggestions, chat in the IDE, edit by instruction. GitHub Copilot (VS Code, JetBrains, etc.): accelerates coding, helps tackle larger issues, keeps you in flow. Cursor: Al-first IDE with similar completions and chat. Both for refactor, tests, docs.
• Hands-on (Cursor or Copilot): install/sign up (free tier or trial); open a small file or new project.
• Ask for code: “Write a Python function that takes a list and returns only even numbers” or “Add a test for this function.” Accept/compose suggestions; run the result.
• Refactor and debug: select code → “add error handling” or “explain this”; use Al to fix a simple bug or add comments.
• Role-specific: testers – “generate 3 test cases for this API”; analysts – “write a short script to read this CSV and sum column X.”
• Try it yourself: use your own snippet or script and get one generation (function, test, or fix) from the Al.

By the end: Everyone who codes has used Cursor or Copilot for at least one generation (code, test, or refactor).

Tools: Any from the program (ChatGPT/Gemini, Canva, Adobe Express, InVideo, Zapier/Make, Browse Al, Mem, Genius Sheets, OpenClaw, Lovable, Imagica, Cursor/Copilot). All roles Marketing Content

Why this matters: Real campaigns and projects use several tools in a pipeline.

Real-world use case: “From one brief: generate copy → create visual → draft video script → (optional) trigger an automation when someone signs up.”

Content outline

• Walk through one end-to-end example: brief → copy (ChatGPT) → image (Canva/Adobe Express) → short video (InVideo/Canva/Adobe Express) → optional form + Zapier.
• Hands-on: in small groups or individually, run the same pipeline with a different brief.
• Discuss: where to store assets, how to name files, what to document for portfolio.
• Try it yourself: run one full pipeline for a real or practice campaign after the session.

By the end: Everyone has seen and practiced one full pipeline across text, image, video, and optionally automation.

Tools: Any from the program (prompts, copy, Canva, Adobe Express, Gamma, video/voice, chatbots, automation, Browse Al, Mem, Genius Sheets, OpenClaw, Lovable, Imagica, Cursor/GitHub Copilot, Hugging Face, etc.). All roles Freshers (portfolio)

Why this matters: One project that ties the whole course together-content, design, automation or app, and (if you code) Al-assisted code-so you can show it in interviews or to clients.

Real-world use case: “Pick one of the 4 Al agent capstone projects-Job Finder, Stock Portfolio, Linkedin Post Generator, or Personal News-build an MVP, record a demo video, and create a short presentation; then submit for the final showcase.”

Content outline

• Capstone scope: leverage everything from the course-prompts, LLMS (ChatGPT/Gemini/Claude), automation (Zapier/Make, Browse Al), Mem, Genius Sheets, OpenClaw/Telegram, Lovable, Imagica, Cursor/GitHub Copilot, and APls where applicable-to build one Al agent with a clear goal and audience. You can scope to an MVP (e.g. one job board, manual uploads, or a subset of features) so it’s achievable in the program timeline.
• Here are the 4 capstone projects—pick one and submit. Each is an Al agent you can show in interviews. Deliverables: a working solution (or MVP), a 1-2 minute demo video, and a short presentation (Gamma deck).
• Project 1 – Job Finder Agent: Build an Al agent that scans job boards (e.g. LinkedIn, Naukri, Indeed), matches openings to a user’s resume or skills profile, and delivers personalized recommendations with application tips. Include: resume/skills parsing (e.g. via LLM or simple NLP), daily job alerts via email/Slack (Zapier/Make), and filters for location (e.g. Bengaluru), salary, and remote options. Use job APls, Browse Al (no-code web extraction/monitoring from job pages), or scraping where allowed; LLMs for matching and summarization; simple web Ul (Lovable or Imagica) or Telegram (OpenClaw) for user input. Demo video: show a profile input and sample recommendations; Gamma deck: problem, architecture, tools, and how you’d scale it.
• Project 2 – Stock Portfolio Agent: Create an Al agent that tracks a user’s stock portfolio (e.g. via Zerodha or Angel One APls, or manual/CSV upload for MVP), provides performance analysis, risk assessment, and buy/sell-style insights based on market trends. Features: portfolio upload/import, visualizations like P&L charts or summary tables (e.g. with Genius Sheets for report/financial model from prompts inside Excel/Google Sheets), alerts for price drops or news (email/Slack), and basic trend summaries using historical data. Integrate financial APIs (e.g. Yahoo Finance) where possible, LLMs for insights and plain-English summaries, and support Indian/US markets with optional low-expense ETF suggestions. Demo video: show portfolio input and sample output; Gamma deck: problem, data flow, tools, and disclaimers (not financial advice).
• Project 3 – LinkedIn Post Generator Agent: Develop an Al agent that generates engaging Linkedin posts tailored to a user’s professional profile, industry (e.g. Al, product management), and goals (networking, thought leadership). Features: topic brainstorming from recent news/trends (LLM), post drafting with hooks, emojis, and hashtags (prompt engineering), image suggestions via DALL-E, Canva, or Adobe Express/Gemini, and A/B variants for optimization. Use ChatGPT/Gemini/Claude for drafting, optional LinkedIn API or manual scheduling, and tone customization (professional, casual). Demo video: show input (profile + topic) and generated post(s); Gamma deck: problem, prompt strategy, tools, and sample outputs.
• Project 4 – Personal News Agent: Build an Al agent that curates a daily personalized news digest from sources (e.g. Google News, Reuters, TechCrunch), filtered by user interests (e.g. GenAl, B2B marketing, travel). Include: summarization of top stories (LLM), sentiment or relevance scoring, and delivery via email, WhatsApp, or a simple app/Telegram. Features: user preference onboarding, source prioritization, and optional Q&A on articles. Use RSS feeds or news APIs plus LLMs for concise, bias-aware summaries; Zapier/Make or OpenClaw for scheduling and delivery; Mem to keep organized and surface relevant context from diverse sources. Optionally use Browse Al to monitor specific news or listing pages. Demo video: show preferences and a sample digest; Gamma deck: problem, pipeline, tools, and how you’d add more sources.
• Hands-on: pick one Al agent project, build an MVP using the integration approach from Session 21 (LLMs, automation, Browse Al, Mem, Genius Sheets, Lovable/Imagica/OpenClaw/Telegram, Cursor/Copilot as needed); write 4-5 sentences: what the agent does, which tools you used, who it’s for. Submit: working solution (or MVP) + demo video link + Gamma deck (or PDF).
• Save all links and files in one folder; name it “Capstone – [Your Name]”.
• Between-session practice: finish or extend the capstone (one more deliverable or tool) before the final showcase.

By the end: Each person has chosen one of the 4 Al agent projects, started building an MVP, and knows what to submit (solution + demo video + Gamma deck).

Tools: None new; optional: LinkedIn, Google Drive or Notion for portfolio. All roles

Why this matters: Turn the 3 portfolio pieces into employability: resume bullets, portfolio page, and next learning steps.

Real-world use case: “Add 2-3 resume bullets and one portfolio link you can share in interviews or with clients.”

Content outline

• 3-4 volunteers: 5-minute showcase of their best project (e.g. Session 9 marketing kit,16 chatbot/automation, 17 OpenClaw, or 22 capstone).
• How to describe what you built: “Used [tools] to [outcome] for [audience/purpose].”
• Resume: 2-3 bullet examples (e.g. “Built FAQ chatbot with Zapier; reduced support time by X%” or “Created Al-assisted marketing kit: copy, visuals, short video”).
• Portfolio: one simple option (Google Drive folder with descriptions, or Notion page, or Linkedln post with links).
• Next steps: deeper prompt engineering, paid tiers when needed, freelancing platforms (e.g. Upwork, Fiverr, Internshala for gigs and internships), more automation (Make vs Zapier), exploring Cursor/IDE Al if they code.
• Program feedback and Q&A. By the end: Everyone has at least 2 resume bullets and one shareable portfolio link; clear next steps for upskilling.