Workshop

General Masterclass Resources Generative AI Masterclass – Innovation Pioneers May 2025 Slides Generative AI Masterclass Workshop Companion – May 2025 Mentimeter questions link AI tools and applications used in the masterclass: AI Chatbots: Open AI ChatGPT Anthropic Claude Google Gemini NotebookLM Audio, Image, and Video Generation and Manipulation: ElevenLabs – text-to-speech, voice clones, sound effects Heygen – AI Avatars NapkinAI – AI-powered diagrams Opus Pro – AI Powered video clipping AI-Powered Applications, Vibe Coding AWS PartyRock Base44 Lovable UXPilot Boosting Productivity A Framework for Boosting Productivity with Generative AI Custom GPT AI Booster Analyzer – https://chatgpt.com/g/g-Di2nm0crr-genai-productivity-booster-advisor Upgrade your useof Chatbots Choose the Right Tool for the Job – https://chatmatrix.live/ The R.I.G.H.T. Prompting Forumla Role – Tell the AI who it should play Information – Give it all the relevant details Goal – Be clear about what you want to achieve How – Explain the desired format and process Tweak – Tool-specific options and refinements From Zero to Hero – Prompt Enhancement Zero shot – No examples. Just instructions. One shot – Include an indicativeexample or template. Few shots – Demonstrate several desired outputsand use cases. Chain of thought – Guide it how solve complex problems with reasoning. The GPT Store Exercise – In pairs: 1. Choose a work process you’d like to analyze. 2. List the key steps or tasks in the process. 3. Come-up with ideas for GenAI boosting in each step. 4. Elaborate on one idea. 5. Share with another participant * Optional – use a GenAI Productivity Booster Advisor with custom ChatGPT. Exercise – Practice your prompting * Your goal – to create a great LinkedIn post about the AI Masterclass 1. Choose one of the AI Chatbots (ChatGPT, Claude, Gemini, Copilot…) 2. Open 2 separate browser tabs with it: * In one – write a basic prompt for writing the post * In another – use advanced prompting techniques 3. Post the result you like most on LinkedIn, tag @Amir Elion and @Innovation Pioneers Creating Value Two paths for creating value to customers, users, and stakeholders with Generative AI: Create value through enhanced services, for example: AI-powered support chatbot, connected to your organization’s knowledge and to customer data Customized training materials – adapted to the user’s skill, language, preferences, etc. Highly personalized sales, marketing and communication Create value byadding GenAI capabilities into your products, for example: Creating draft text suggestions for users in fields Allowing users to generate new scenarios and flows for their needs Putting generative capabilities in users’ hands, allowing them to use generated music, voice, images, and videos in their outputs Use generative AI capabilities to add the following to your services and products: Personalization: Integrate individual data, tailor communication & recommendations, making each journey unique. Interaction: Dynamic interaction via chatbots, virtual assistants, and personalized content delivery. Emotion: Emotionally intelligent engagements with sentiment analysis, AI personas and moods. Experiences: Build continuous and evolving customer experiences across channels and products. Stories: AI-powered multi-modal storytelling, with brand voice and messaging, and audience adjustment. Exercise – Interact with Data Go to the NotebookLM Create a new Notebook Add or discover sources Interact with the data: – Set the desired output language – Create a podcast – Create FAQs, Summary, Study aid, Timeline – Advanced – jump into the podcast Exercise – Value Creation Ideas Exercise Use NapkinAI or UX Pilot Think of ideas for creating value with Generative AI at your company by: — Enhancing services — Adding GenAI features to your products Create a visualization of it for a presentation or a demo – Optional – use the AWS PartyRockStoryboard Generation tool to visualize one of your ideas Driving Disruption Two paths to discover disruption opportunities (or risks): Examine existing value chains, business and operating models, to identifyAI disruption opportunities – for your organization or for potential competitors or alternative solution providers Use Generative AI to open the market up to non-customers and new value creators – allowing services to be offered to a much larger scale audience or add new value creators to the value-chain Exercise – Create an AI-Avatar Story – Think of a message you’d like to deliver – Go to Heygen – Generate a video with an avatar or influencer – in English – Optional – translate it to Swedish with a click of a button Exercise – Build an AI-powered application Think of an application you’d like to build Build it with one of the following: – AWS PartyRock (free) – Base44 (free + coupon AmirBase44) Add the coupon code under billing to get 25 more credits for messaging the Base44 agent: Additional Links and Resources The EU AI Act Lists of AI tools: https://theresanaiforthat.com/ https://www.futuretools.io/ https://www.futurepedia.io/ Amir’s online courses: Build a ChatGPT supercharged Product Innovation Machine Storyboarding Easy Mastery with ChatGPT and MidJourney Build AI-powered apps in minutes – Master AWS PartyRock Recommended Podcasts – English Podcast Description Typical cadence & length Listen The AI Daily Brief (ex-“AI Breakdown”) 20-minute weekday news recap that distils the flood of AI headlines into business implications, hosted by analyst NLW Daily ≈ 20 min https://pod.link/1680633614 Everyday AI Jordan Wilson’s live-stream-turned-podcast gives “here’s how I used X tool today” walk-throughs Daily 40-70 min https://youreverydayai.com/podcast The Cognitive Revolution Weekly long-form interviews with founders, VCs and researchers about AI strategy and market shifts Weekly 60-90 min https://www.cognitiverevolution.ai How I AI Brand-new (Apr 2025) show from Lenny Rachitsky; each 30-min episode demos a concrete workflow that boosted productivity 10-40× Weekly ≈ 30 min https://www.lennysnewsletter.com/p/introducing-how-i-ai Digital Transformation and AI for Humans How technology intersects with leadership, innovation, and most importantly, the human spirit. Several episodes per month ≈ 30-60 min https://youtube.com/playlist?list=PLkckRzyFR-iHylORaekw8Z8VFn5Df3vJS&si=0kuFb_trgoMDgnr2 Hard Fork NY Time’s Kevin Roose & Casey Newton unpack the week’s biggest AI/tech stories in plain English and with humour Weekly ≈ 65 min https://podcasts.apple.com/us/podcast/hard-fork/id1528594034 Practical AI Changelog’s veteran hosts focus on making AI “practical, productive and accessible”; recent episodes zero in on agents, GenAI ROI and governance Bi-weekly 45-60 min https://changelog.com/practicalai Artificiality Helen & Dave Edwards bring a cross-disciplinary lens (behavioural econ, design,

Artificial Intelligence, Jewish Texts and Stories course materials This is Grok Maimonides style. This is GPT Maimonides style. This is Llama Maimonides style. This is Grok Mystical style. This is GPT Mystical style. This is Llama Mystical style.

Artificial Intelligence, Jewish Texts and Stories course materials Session 10: Synthesis and Celebration Presentation – Session 10 – Synthesis and Celebration Key AI Topics: Future of AI Development AI Agents AI use cases Tools and activities: All previous tools + Base44 Integration of multiple AI tools Base44 – AI Coding Agents Course reflection and feedback Celebration of learning achievements Jewish texts, stories, and characters: The Jewish Wisdom Explorer Your exercises Exercise 1: Go to the Jewish Wisdom Explorer and log in Do some research Look at history and research done by others Add the ones you like to your favorites Exercise 2: Choose one or more of the AI tools we learned during the course (AWS PartyRock, Custom GPTs, NotebookLM, Suno, Base44…) Reimagine how you’d like Jewish learning to be like Create an experience or and application that lets people learn about Jewish text, stories, or characters in a new way with AI Share what you’ve built with class members Session 9: Text and Context Presentation – Session 9 – Text and Context Key AI Topics: Context Windows Source-based Generation Knowledge Retrieval Tools and activities: NotebookLM Working with Torah texts and commentaries Source-based conversation and interpretation Creating mini-podcasts based on Jewish sources Focus on contextual understanding and interpretation Human and AI Chevruta-style learning Jewish texts, stories, and characters: The story of Job Your exercises Exercise: Go to the NotebookLM Create a new Notebook Add or discover sources (use discover feature, or download a PDF from King James Version) Interact with the data: Set the desired output language Create a podcast Create FAQs, Summary, Study aid, Timeline Advanced – jump into the podcast Session 8: Custom Jewish AI Guides Presentation – Session 8 – Custom Jewish AI Advisors Key AI Topics: Custom AI Chatbots Basics of Knowledge and RAG The GPT store Tools and activities: ChatGPT Searching the GPT store Using custom GPTs Creating custom GPTs Discussion of use cases in Jewish education and community Your exercises Exercise 1: Use the GPT store to find a relevant custom GPT, for example: JPT (Jewish-GPT) Torah Companion Orthodox Rabbi Use it Start a new regular ChatGPT conversation. Call one of the Custom GPTs you talkedto with the symbol @ and continue the chat Exercise 2: Think of a custom GPT you would like to create If you have a paid ChatGPT account – create the custom GPT on it If you don’t – send any instructions, files, image and settings you want me to create to my email amir.elion@paideiafolkhogskola.se Play around with the GPT you created and share it with others Session 7: Passover Multimodal Experience Lesson 7 Session 7 – Passover AI Experience Key AI Topics: Multi-modal Integration Narrative Generation Tools and activities: LTX Studio Modern interactive Haggadah creation Multi-modal Exodus story retelling Generated Passover songs and narratives Discussion of freedom and technology Jewish texts, stories, and characters: The Haggadah Your exercise Discuss ideas for retelling of the Haggadah with ChatGPT or Claude – consider storyline, characters, locations, atmosphere… Sign-up to LTX Studio Give it a general idea or a script Work on one scene Session 6: AI and Jewish Ethics Lesson presentation – Session 6 – AI and Jewish Ethics Key AI Topics: Responsible AI AI Bias and Fairness AI Safety and Security Tools and activities: Multiple AI models Comparative analysis of AI ethical reasoning Jewish perspectives on AI ethics Responsible AI discussion topics Bias in AI systems Hallucinations and misinformation Privacy concerns Security risks Ethical guidelines for AI use Case studies combining traditional Jewish law with AI dilemmas Jewish texts, stories, and characters: Rambam (Maimonides), Golem stories and AI Your task: Go to the multi-chat page Test out the different prompts in different models Prompts on AI Ethics Topics: 1. Bias and Discrimination: Prompt 1: “According to Jewish ethics, how should we address the issue of AI bias that unfairly impacts certain groups? Consider principles like ‘tzelem Elokim’ (human dignity) and ‘mishpat tzedek’ (just judgment).” Prompt 2: “If an AI system perpetuates harmful stereotypes, what guidance might Jewish texts provide on addressing and rectifying such biases?” Prompt 3: “The Torah states, ‘You shall not pervert justice; you shall not show partiality.’ How should this commandment be applied to AI models that are trained on biased data?” 2. Fairness and Inclusivity: Prompt 4: “How would Jewish ethics address fairness in AI systems used for social welfare or legal judgments? Compare the principles of ‘pikuach nefesh’ (saving a life) and ‘tzedek, tzedek tirdof’ (justice, justice shall you pursue).” Prompt 5: “AI systems often reflect biases present in training data. According to Jewish thought, what moral obligation do developers have to ensure fairness and inclusivity in their systems?” Prompt 6: “In cases where AI access is limited to privileged groups, what would Jewish teachings say about providing equitable access to these technologies?” 3. Intellectual Property and Creativity: Prompt 7: “Jewish tradition places high value on learning and creativity. How should we consider intellectual property rights when AI models are trained on copyrighted materials, including Torah commentary and Jewish music?” Prompt 8: “If an AI system generates novel creative works, who owns those creations? How might Jewish teachings on authorship and scholarship apply here?” Prompt 9: “According to Maimonides, the pursuit of knowledge is a mitzvah (commandment). How should this principle inform the open sharing of AI-generated knowledge versus protecting creators’ rights?” 4. Privacy and Surveillance: Prompt 10: “The Talmud teaches that privacy is a fundamental right. How should this principle guide the ethical use of AI systems that collect personal data?” Prompt 11: “Jewish ethics emphasizes guarding one’s speech (shmirat halashon). How should this be applied to AI systems that monitor conversations and interactions?” Prompt 12: “What would be the ethical implications of AI surveillance systems according to Jewish teachings on ‘loving your neighbor as yourself’ (V’ahavta L’reacha Kamocha)?” 5. Creation and Responsibility: Prompt 13: “The story of the Golem reflects concerns about creating life and losing control of one’s creation. What insights can this tradition provide about developing autonomous AI systems?”

AWS PartyRock Workshop – L&D Shakers Have fun! AWS PartyRock AWS PartyRock Examples: Select one of these examples or go to the Discover page on and choose an app to try. PartyRock Discover page Personalized Learning Path Generator Storyboard maker Quiz questions creator Objections handling conversation coach Build your own AWS PartyRock app: Think about the use case you want to create, consider the flow of user inputs and AI-generated outputs Create the app: Option 1: “Generate app” button and prompt to describe what you want to build, then edit the result Option 2: “Generate app” button, then “Build manually” and add the widgets as needed Option 3: find an existing app the you like, click “Remix” and edit it to make it your own Additional learning sources: Connect with me on LinkedIn Amir’s YouTube channel – Think Big – Generative AI, done right Udemy course – Free access Learn-Tini participants (limited seats) Regular access – Build AI-powered apps in minutes – Master AWS PartyRock Udemy course – Storyboarding Easy Mastery with ChatGPT and Midjourney Udemy course – Build a ChatGPT Product Innovation Copilot

AWS PartyRock Workshop – BSOC Have fun! AWS PartyRock AWS PartyRock Examples: Select one of these examples or go to the “Discover” page on and use an app. PartyRock Discover page AWS PartyRock text generation examples AWS PartyRock Chatbot examples Visual user journey generator – AWS PartyRock – use the tool, example generation 1, example generation 2 Interview role-playing for candidates Voice of customer tool Objections handling conversation coach Build your own AWS PartyRock app: Think about the use case you want to create, consider the flow of user inputs and AI-generated outputs Create the app: Option 1: “Generate app” button and prompt to describe what you want to build, then edit the result Option 2: “Generate app” button, then “Build manually” and add the widgets as needed Option 3: find an existing app the you like, click “Remix” and edit it to make it your own Additional learning sources: Connect with me on LinkedIn Amir’s YouTube channel – Think Big – Generative AI, done right Udemy course – Build AI-powered apps in minutes – Master AWS PartyRock Udemy course – Storyboarding Easy Mastery with ChatGPT and Midjourney Udemy course – Build a ChatGPT Product Innovation Copilot