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DTSTART;TZID=Asia/Kuala_Lumpur:20260722T090000
DTEND;TZID=Asia/Kuala_Lumpur:20260723T170000
DTSTAMP:20260618T065840
CREATED:20260615T065952Z
LAST-MODIFIED:20260615T065952Z
UID:3379-1784710800-1784826000@mlearning.meteor.com.my
SUMMARY:GENERATIVE AI & PROMPT ENGINEERING
DESCRIPTION:OVERVIEW\n\nThis two-day workshop provides a comprehensive introduction to the exciting world of Generative Artificial Intelligence (GenAI) and the crucial skill of Prompt Engineering. Participants will gain a foundational understanding of how GenAI models work\, explore the capabilities of leading platforms like ChatGPT and Google Gemini\, and learn practical techniques for crafting effective prompts to generate high-quality outputs. \nFurthermore\, the workshop will delve into creative applications using tools like OpenArt.ai and InVideo.io\, and explore innovative presentation methods with Gamma.app. By the end of this workshop\, participants will be equipped with the knowledge and hands-on experience to leverage GenAI tools for enhanced productivity\, creativity\, and innovation within their professional roles\, while also understanding the ethical considerations associated with their use. \n\n\n\nLEARNING OUTCOMES\n\n\nA strong foundational understanding of Generative AI and Large Language Models.\nPractical skills in prompt engineering for effective interaction with ChatGPT and Google Gemini.\nAwareness of the ethical implications and best practices for responsible AI usage.\nExposure to creative GenAI tools like OpenArt.ai and InVideo.io.\nKnowledge of using Gamma.app for innovative content presentation.\nConfidence to explore and integrate Generative AI tools into their workflows.\n\n\n\n\nCOURSE OUTLINE:\nSECTION 1: GenAI & ChatGPT \nModule 1: Understanding Generative AI  \nObjective: Build foundational knowledge about Generative AI and its capabilities. \n\nTopics: \n\nWhat is Generative AI? (Definition and Core Concepts)\n\n\nKey Features: \n\nText and Image Generation\nMultimodal Capabilities\n\n\nHow Generative AI Works: \n\nData Gathering\nModel Training\nContent Generation\n\n\nReal-World Applications:\n\nContent Creation\nChatbots and Assistants\nScientific Research\n\n\nInteractive Activity: \n\nDiscuss and brainstorm potential applications of GenAI in your company’s business operations\n\n\n\nModule 2: Introduction to ChatGPT  \nObjective: Provide an overview of ChatGPT and its practical uses. \n\nTopics: \n\nWhat is ChatGPT? (Capabilities and Limitations)\n\n\nKey Features: \n\nNatural Language Understanding\nContextual Responses\nTask Accomplishment\n\n\nPrompt Engineering Basics: \n\nRTF (Role\, Task\, Format)\nCTF Contextual Responses\nMega Prompts vs. Prompt Chaining\n\n\nHands-On Activity:\n\nWrite a structured prompt using RTF and get responses using ChatGPT\n\n\n\n  \nModule 3: Practical Applications of ChatGPT  \nObjective: Demonstrate how to apply ChatGPT for real-world scenarios. \nTopics: \n\n\n\nUsing ChatGPT for:\nCustomer Service Automation\nMarketing Content Creation\nInternal Communication\n\n\nInteracting Effectively with ChatGPT: \n\nManaging Context\nError Handling\n\n\nHands-On Activity:\n\nRole-Play Scenarios:\nCustomer Inquiry Handling\nDrafting a Marketing Email\nSummarizing Meeting Notes\n\n\n\n\n\n\nModule 4: Advanced Techniques and Ethical Use  \nObjective: Explore advanced ChatGPT techniques and discuss ethical considerations. \n\nTopics:\n\nAdvanced Features: \n\n\n\nControlling Response Length\nUsing System Instructions\nSentiment Analysis\n\n\n\nEthical Considerations: \n\nBias Mitigation\nData Privacy\nTransparency in Outputs\n\nInteractive Discussion: \n\nChallenges and opportunities in using AI responsibly within your company\n\n  \nSECTION 2: INTRODUCTION TO LARGE LANGUAGE MODELS AND GOOGLE GEMINI \nModule 1: Understanding Large Language Models  \nObjective: Build foundational knowledge of Large Language Models (LLMs) and their applications. \n\nTopics: \n\nWhat are Large Language Models (LLMs)?\n\n\nDefinition and Key Features: \n\nHow LLMs Generate Responses\n\n\nApplications of LLMs: \n\nAdvanced Chatbots\nAutomated Content Writing\nVirtual Assistants\n\n\nBenefits of Using LLMs:\n\nTime-Saving\nEnhanced Productivity\nReliable Information\n\n\nInteractive Activity: \n\nDiscuss and brainstorm potential applications of GenAI in your company’s business operations\n\n\n\n  \nModule 2: Introduction to Google Gemini  \n  \nObjective: Introduce participants to Google Gemini’s capabilities and explore its use cases. \n\nTopics: \n\n\nWhat is Google Gemini?\nOverview and Core Feature\nCapabilities: Text Generation\, Creative Content\, Multimodal Operations\n\n\nHow Google Gemini Works:\n\n\nData Training\nContextual Understanding\nAnswer Generation\n\n\nPrompt Engineering Basics: \n\nRTF (Role\, Task\, Format)\nCTF (Context\, Task\, Format)\n\n\nHands-On Activity: Engineering Basics: \n\nPractice creating prompts using RTF and CTF to generate different outputs with Google Gemini\n\n\n\n  \nModule 3: Ethical Considerations and Responsible Use  \n  \nObjective: Discuss the ethical implications of using LLMs like Google Gemini and foster responsible AI use. \n\nTopics: \n\nAddressing Biases in LLMs\nData Diversity\nAlgorithmic Improvements\n\n\nEnsuring Responsible Use: \n\nPrivacy and Data Security\nTransparency and Accountability\n\n\nLegal and Ethical Considerations:\n\nRegulatory Compliance\nEthical AI Development\n\n\nInteractive Discussion: \n\nExplore challenges and strategies for ethical AI implementation in your company\n\n\n\n  \nSECTION 3: EXPLORING OPENART.AI\, INVIDEO.IO\, AND GAMMA.APP \nModule 1: Introduction to OpenArt.ai  \nObjective: Understand the capabilities of OpenArt.ai and its applications in creative workflows. \n\nTopics: \n\nWhat is OpenArt.ai?\nOverview and Features\nGenerating AI-Driven Artwork\n\n\nUse Cases:\n\nDigital Marketing and Branding\nCreative Design Projects\nContent Personalization\n\n\nHands-On Demonstration: \n\nGenerating Artworks Based on Specific Themes\nExploring Customization Options\n\n\nActivity:\n\nParticipants create an AI-generated artwork for a marketing campaign or personal project\n\n\n\nModule 2: Introduction to InVideo.io  \nObjective: Learn how to leverage InVideo.io for video creation and editing. \n\nTopics: \n\nWhat is InVideo.io?\nOverview and Features\nPre-Built Templates and AI-Assisted Video Creation AI-Driven Artwork\n\n\nApplications:\n\nSocial Media Marketing\nBusiness Presentations\nVideo Ads and Tutorials\n\n\nHands-On Demonstration: \n\nCreating a Short Promotional Video Using Templates\nCustomizing Text\, Images\, and Music\n\n\nActivity:\n\nParticipants create a 30-second promotional video for a product or service.\n\n\n\nModule 3: Introduction to Gamma.app  \nObjective: Explore Gamma.app’s capabilities for storytelling\, presentation\, and document creation. \n\nTopics: \n\nWhat is Gamma.app?\nOverview and Features\nAI-Powered Presentation and Content Structuring\n\n\nUse Cases: \n\nWhat is Gamma.app?\n\n\nOverview and Features: \n\nCreating Visually Appealing Presentations\nCollaborative Content Creation\nInteractive Storytelling\n\n\nHands-On Demonstration:\n\nDesigning a Slide Deck Using Gamma.app\nEnhancing Presentations with AI-Suggested Content\n\n\nActivity: \n\nParticipants design a 5-slide presentation for a business proposal.\n\n\n\n \n\n\nMETHODOLOGY\n\n\nInteractive Lectures\nDemos\nHands-On Exercises\nPractical Exercises\nQ&A and Feedback\n\n\n\n\n\n  \n  \n  \n  \n  \n 
URL:https://mlearning.meteor.com.my/event/generative-ai-prompt-engineering-2/
LOCATION:Menara OUM\, Block C\, Kompleks Kelana Centre Point\, Jalan SS7/19\, Kelana Jaya\, Petaling Jaya\, Selangor\, 47301\, Malaysia
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ORGANIZER;CN="METEOR Learning":MAILTO:meteorlearning@meteor.com.my
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