{"id":1889,"date":"2025-11-22T09:38:28","date_gmt":"2025-11-22T01:38:28","guid":{"rendered":"https:\/\/www.lingx-ai.com\/?page_id=1889"},"modified":"2025-11-22T10:05:12","modified_gmt":"2025-11-22T02:05:12","slug":"aicourse","status":"publish","type":"page","link":"https:\/\/www.lingx-ai.com\/zh\/aicourse\/","title":{"rendered":"AI Curriculum For K12"},"content":{"rendered":"<h1>Cultivating AI Mindset<\/h1>\n<div>\n<p>AI Training Curriculum to Students for After School Club \/ ECA<\/p>\n<\/div>\n<p>\n    <a href=\"mailto:bo.zhang@lingx.ai\">Apply Now<\/a>\n<\/p>\n<ul>\n<li>\n<div>Onsite Face-to-Face<\/div>\n<p>Course Delivery<\/p>\n<\/li>\n<li>\n<div>English or Chinese<\/div>\n<p>Language<\/p>\n<\/li>\n<li>\n<div>Elementary School, Middle School, High School<\/div>\n<p>Suitable<\/p>\n<\/li>\n<\/ul>\n<div>\n<p>Overall Aim:<br \/>A K-12 curriculum designed under the IB framework that empowers students with a deep understanding of Large Language Models (LLM) and multimodal AI capabilities. The curriculum progresses from conceptual exploration and interactive visual tools (MYP) to code-level practice and real-world application development (DP).<\/p>\n<\/div>\n<h2>Exploring the World of AI\u00a0 (Middle School \/ MYP)<\/p>\n<p><i>(16-20 weeks, 90-minute sessions)<\/i><\/p>\n<\/h2>\n<ul>\n<li>\n<h3>Weeks 1-4<\/h3>\n<div>\n<h4>Foundations &amp; Interactive Exploration<\/h4>\n<h5><span>\u2022 Introduction to AI &amp; LLM:<\/span><\/h5>\n<div><span>\u2022 Understand core AI concepts and explore everyday applications.<\/span><\/div>\n<div><span>\u2022 Learn how Large Language Models acquire language proficiency from vast data sets.<\/span><\/div>\n<h5><span>\u2022 Interactive Tools:<\/span><\/h5>\n<div><span>\u2022 Engage with visual platforms (e.g., Machine Learning for Kids) to observe model training and behavior.<\/span><\/div>\n<div><span>\u2022 Participate in activities that illustrate pattern recognition and language prediction.<\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<h3>Weeks 5-8<\/h3>\n<div>\n<h4>Mastering Prompt Engineering\u00a0<\/h4>\n<h5><span> \u2022 Prompt Engineering:<\/span><\/h5>\n<div><span> \u2022 Develop foundational skills in designing effective prompts.<\/span><\/div>\n<div><span> \u2022 Advance to techniques such as Few-shot and Chain-of-Thought prompting for improved output control.<\/span><\/div>\n<h5><span> \u2022 Applications in Writing &amp; Translation:<\/span><\/h5>\n<div><span> \u2022 Conduct hands-on exercises with tools like ChatGPT and DeepSeek.<\/span><\/div>\n<div><span> \u2022 Generate creative writing, summaries, and translations to understand practical uses of LLMs.<\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<h3>Weeks 9-12<\/h3>\n<div>\n<h4>Expanding Applications &amp; Ethical Considerations<\/h4>\n<h5><span> \u2022 Broader AI Applications:<\/span><\/h5>\n<div><span> \u2022 Explore AI-assisted coding, creative storytelling, and automated information summarization.<\/span><\/div>\n<div><span> \u2022 Analyze real-world scenarios to see how AI augments various learning tasks.<\/span><\/div>\n<h5><span> \u2022 Ethics &amp; Safety:<\/span><\/h5>\n<div><span> \u2022 Discuss AI bias, misinformation risks, and the importance of responsible usage.<\/span><\/div>\n<div><span> \u2022 Engage in debates and case studies to develop critical perspectives on ethical AI.<\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<h3>Weeks 13-16<\/h3>\n<div>\n<h4>Multimodal Innovation\u00a0<\/h4>\n<div><span> \u2022 Image Generation: Experiment with text-to-image tools (e.g., DALL\u00b7E, Stable Diffusion) to generate visual content.<\/span><\/div>\n<div><span> \u2022 Voice &amp; Music Synthesis: Practice using Text-to-Speech (TTS) tools and explore AI-driven music creation.<\/span><\/div>\n<div><span> \u2022 Video Generation: Examine the challenges and potentials of AI-generated video content.<\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<h3>Capstone Project<\/h3>\n<div>\n<p>\u2022 Collaboratively design and develop an AI assistant prototype that integrates multimodal outputs\u2014text, images, voice, and video.<br \/>\u2022 Present projects to peers, highlighting the design process, technical challenges, and ethical considerations.<\/p>\n<\/div>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"\/wp-content\/uploads\/yootheme\/background-square-03.png\" alt=\"\"><\/p>\n<h2>\n<p class=\"p1\"><b>Advanced LLM Application Development<\/b><\/p>\n<p>(High School \/ DP)<\/p>\n<h5><i>(16-20 weeks, 90-minute sessions)<\/i><\/h5>\n<\/h2>\n<ul>\n<li>\n<h3>Weeks 1-4<\/h3>\n<div>\n<h4 class=\"p1\"><b>LLM Fundamentals &amp; Advanced Prompting<\/b><b><\/b><\/h4>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>Course Introduction &amp; LLM Overview:<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>In-depth exploration of Transformer architectures, training processes, and data challenges.<\/p>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Discussion on the evolution and current state-of-the-art in LLMs.<\/p>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>Advanced Prompt Engineering:<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Learn sophisticated techniques to optimize LLM responses in complex scenarios.<\/p>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Analyze real-world examples and experiment with different prompt formulations.<\/p>\n<\/div>\n<\/li>\n<li>\n<h3>Weeks 5-8<\/h3>\n<div>\n<h4 class=\"p1\"><b>Coding, API Integration &amp; Retrieval-Augmented Generation (RAG)<\/b><b><\/b><\/h4>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>Coding &amp; API Integration:<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Hands-on sessions using Python to interact with LLM APIs (e.g., OpenAI).<\/p>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Focus on parameter tuning, error handling, and output evaluation.<\/p>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>RAG (Retrieval-Augmented Generation):<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Understand how to combine real-time data retrieval with LLM generation to enhance answer quality.<\/p>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Implement prototype workflows that integrate external knowledge sources.<\/p>\n<\/div>\n<\/li>\n<li>\n<h3>Weeks 9-12<\/h3>\n<div>\n<h4 class=\"p1\"><b>Model Fine-Tuning &amp; Capstone Project Planning<\/b><b><\/b><\/h4>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>Model Fine-Tuning:<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Explore concepts and practical techniques for fine-tuning a pre-trained LLM for specialized tasks.<\/p>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Engage in hands-on exercises, including data preparation and iterative training.<\/p>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>Team Project Planning:<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Initiate a capstone project where teams propose a real-world AI application leveraging LLMs.<\/p>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Develop project proposals covering technical approach, ethical considerations, and feasibility.<\/p>\n<\/div>\n<\/li>\n<li>\n<h3>Weeks 13-16<\/h3>\n<div>\n<h4 class=\"p1\"><b>Multimodal Integration<\/b><\/h4>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>Image &amp; Visual Content Generation:<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Integrate APIs like DALL\u00b7E or Stable Diffusion to generate dynamic visual content.<\/p>\n<h5 class=\"p2\"><span class=\"s1\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span><\/span><b>Audio &amp; Video Synthesis:<\/b><b><\/b><\/h5>\n<p class=\"p3\"><span class=\"Apple-tab-span\"> <\/span>\u2022<span class=\"Apple-tab-span\"> <\/span>Develop skills in text-to-speech (TTS) and explore basic video creation\/editing techniques.<\/p>\n<\/div>\n<\/li>\n<li>\n<h3>Capstone Project<\/h3>\n<div>\n<div><\/div>\n<div><span> \u2022 Teams develop and refine a comprehensive AI application that integrates text, image, voice, and video outputs.<\/span><\/div>\n<div><span> \u2022 Final presentations include a live demo, detailed documentation, and a project defense session.<\/span><\/div>\n<\/div>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"\/wp-content\/uploads\/yootheme\/background-square-03.png\" alt=\"\"><\/p>\n<div>\n<p>        <img decoding=\"async\" src=\"\/wp-content\/uploads\/2025\/03\/Rhoda.png\" alt=\"Rhoda Chen\"><\/p>\n<h3>Rhoda Chen<\/h3>\n<div>\n<p>Contact Rhoda for Immediate support and information<\/p>\n<\/div>\n<\/div>\n<p>\n    <a href=\"mailto:rhoda.chen@lingx-ai.com\">Apply Now<\/a>\n<\/p>\n<hr>\n<p><!--more--><br \/>\n<!-- {\"type\":\"layout\",\"children\":[{\"type\":\"section\",\"props\":{\"animation\":\"slide-bottom-medium\",\"animation_delay\":\"100\",\"header_transparent\":\"dark\",\"image_position\":\"center-center\",\"padding\":\"large\",\"style\":\"default\",\"title_breakpoint\":\"xl\",\"title_position\":\"top-left\",\"title_rotation\":\"left\",\"vertical_align\":\"middle\",\"width\":\"small\"},\"children\":[{\"type\":\"row\",\"children\":[{\"type\":\"column\",\"props\":{\"image_position\":\"center-center\",\"position_sticky_breakpoint\":\"m\"},\"children\":[{\"type\":\"headline\",\"props\":{\"content\":\"Cultivating AI Mindset\",\"margin\":\"default\",\"position\":\"relative\",\"position_z_index\":\"1\",\"text_align\":\"center\",\"title_element\":\"h1\",\"title_style\":\"heading-small\"}},{\"type\":\"text\",\"props\":{\"block_align\":\"center\",\"column_breakpoint\":\"m\",\"content\":\"\n\n<p>AI Training Curriculum to Students for After School Club \\\/ ECA<\\\/p>\",\"margin\":\"default\",\"margin_remove_bottom\":true,\"maxwidth\":\"xlarge\",\"position\":\"relative\",\"position_z_index\":\"1\",\"text_align\":\"center\",\"text_style\":\"lead\"}},{\"type\":\"button\",\"props\":{\"grid_column_gap\":\"small\",\"grid_row_gap\":\"small\",\"margin\":\"medium\",\"margin_remove_bottom\":true,\"position\":\"relative\",\"position_z_index\":\"1\",\"text_align\":\"center\"},\"children\":[{\"type\":\"button_item\",\"props\":{\"button_style\":\"primary\",\"content\":\"Apply Now\",\"icon_align\":\"left\",\"link\":\"mailto:bo.zhang@lingx.ai\"}}]},{\"type\":\"grid\",\"props\":{\"content_column_breakpoint\":\"m\",\"filter_align\":\"left\",\"filter_all\":true,\"filter_grid_breakpoint\":\"m\",\"filter_grid_width\":\"auto\",\"filter_position\":\"top\",\"filter_style\":\"tab\",\"grid_column_gap\":\"medium\",\"grid_default\":\"1\",\"grid_medium\":\"\",\"grid_row_gap\":\"medium\",\"grid_small\":\"3\",\"icon_width\":80,\"image_align\":\"top\",\"image_grid_breakpoint\":\"m\",\"image_grid_width\":\"1-2\",\"image_svg_color\":\"emphasis\",\"item_animation\":true,\"link_style\":\"default\",\"link_text\":\"Read 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School\"}}]}]}]}],\"name\":\"Hero\"},{\"type\":\"section\",\"props\":{\"animation\":\"fade\",\"animation_delay\":\"200\",\"image_position\":\"center-center\",\"padding\":\"large\",\"padding_remove_bottom\":true,\"style\":\"default\",\"title_breakpoint\":\"xl\",\"title_position\":\"top-left\",\"title_rotation\":\"left\",\"vertical_align\":\"middle\",\"width\":\"xsmall\"},\"children\":[{\"type\":\"row\",\"children\":[{\"type\":\"column\",\"props\":{\"image_position\":\"center-center\",\"position_sticky_breakpoint\":\"m\"},\"children\":[{\"type\":\"text\",\"props\":{\"column_breakpoint\":\"m\",\"content\":\"\n\n<p>Overall Aim:<br \\\/>A K-12 curriculum designed under the IB framework that empowers students with a deep understanding of Large Language Models (LLM) and multimodal AI capabilities. The curriculum progresses from conceptual exploration and interactive visual tools (MYP) to code-level practice and real-world application development (DP).<\\\/p>\",\"margin\":\"default\",\"text_style\":\"large\"}},{\"type\":\"headline\",\"props\":{\"animation\":\"none\",\"content\":\"Exploring the World of AI\\u00a0 (Middle School \\\/ MYP)<br \\\/>\\n\n\n<p><i>(16-20 weeks, 90-minute sessions)<\\\/i><\\\/p>\",\"margin\":\"medium\",\"position\":\"relative\",\"position_z_index\":\"1\",\"title_element\":\"h2\"}},{\"type\":\"switcher\",\"props\":{\"content_column_breakpoint\":\"m\",\"image_align\":\"top\",\"image_grid_breakpoint\":\"m\",\"image_grid_width\":\"1-2\",\"image_svg_color\":\"emphasis\",\"link_style\":\"default\",\"link_text\":\"Read more\",\"margin\":\"default\",\"meta_align\":\"below-title\",\"meta_element\":\"div\",\"meta_style\":\"text-meta\",\"nav\":\"tab\",\"nav_align\":\"left\",\"nav_grid_breakpoint\":\"m\",\"nav_grid_width\":\"auto\",\"nav_position\":\"top\",\"show_content\":true,\"show_image\":true,\"show_label\":true,\"show_link\":true,\"show_meta\":true,\"show_thumbnail\":true,\"show_title\":true,\"switcher_animation\":\"fade\",\"switcher_height\":true,\"thumbnav_height\":\"75\",\"thumbnav_svg_color\":\"emphasis\",\"thumbnav_width\":\"100\",\"title_align\":\"top\",\"title_element\":\"h3\",\"title_grid_breakpoint\":\"m\",\"title_grid_width\":\"1-2\"},\"children\":[{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4>Foundations &amp; Interactive Exploration<\\\/h4>\\n\n\n<h5><span>\\u2022 Introduction to AI &amp; LLM:<\\\/span><\\\/h5>\\n\n\n<div><span>\\u2022 Understand core AI concepts and explore everyday applications.<\\\/span><\\\/div>\\n\n\n<div><span>\\u2022 Learn how Large Language Models acquire language proficiency from vast data sets.<\\\/span><\\\/div>\\n\n\n<h5><span>\\u2022 Interactive Tools:<\\\/span><\\\/h5>\\n\n\n<div><span>\\u2022 Engage with visual platforms (e.g., Machine Learning for Kids) to observe model training and behavior.<\\\/span><\\\/div>\\n\n\n<div><span>\\u2022 Participate in activities that illustrate pattern recognition and language prediction.<\\\/span><\\\/div>\",\"title\":\"Weeks 1-4\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4>Mastering Prompt Engineering\\u00a0<\\\/h4>\\n\n\n<h5><span> \\u2022 Prompt Engineering:<\\\/span><\\\/h5>\\n\n\n<div><span> \\u2022 Develop foundational skills in designing effective prompts.<\\\/span><\\\/div>\\n\n\n<div><span> \\u2022 Advance to techniques such as Few-shot and Chain-of-Thought prompting for improved output control.<\\\/span><\\\/div>\\n\n\n<h5><span> \\u2022 Applications in Writing &amp; Translation:<\\\/span><\\\/h5>\\n\n\n<div><span> \\u2022 Conduct hands-on exercises with tools like ChatGPT and DeepSeek.<\\\/span><\\\/div>\\n\n\n<div><span> \\u2022 Generate creative writing, summaries, and translations to understand practical uses of LLMs.<\\\/span><\\\/div>\",\"title\":\"Weeks 5-8\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4>Expanding Applications &amp; Ethical Considerations<\\\/h4>\\n\n\n<h5><span> \\u2022 Broader AI Applications:<\\\/span><\\\/h5>\\n\n\n<div><span> \\u2022 Explore AI-assisted coding, creative storytelling, and automated information summarization.<\\\/span><\\\/div>\\n\n\n<div><span> \\u2022 Analyze real-world scenarios to see how AI augments various learning tasks.<\\\/span><\\\/div>\\n\n\n<h5><span> \\u2022 Ethics &amp; Safety:<\\\/span><\\\/h5>\\n\n\n<div><span> \\u2022 Discuss AI bias, misinformation risks, and the importance of responsible usage.<\\\/span><\\\/div>\\n\n\n<div><span> \\u2022 Engage in debates and case studies to develop critical perspectives on ethical AI.<\\\/span><\\\/div>\",\"title\":\"Weeks 9-12\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4>Multimodal Innovation\\u00a0<\\\/h4>\\n\n\n<div><span> \\u2022 Image Generation: Experiment with text-to-image tools (e.g., DALL\\u00b7E, Stable Diffusion) to generate visual content.<\\\/span><\\\/div>\\n\n\n<div><span> \\u2022 Voice &amp; Music Synthesis: Practice using Text-to-Speech (TTS) tools and explore AI-driven music creation.<\\\/span><\\\/div>\\n\n\n<div><span> \\u2022 Video Generation: Examine the challenges and potentials of AI-generated video content.<\\\/span><\\\/div>\",\"title\":\"Weeks 13-16\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<p>\\u2022 Collaboratively design and develop an AI assistant prototype that integrates multimodal outputs\\u2014text, images, voice, and video.<br \\\/>\\u2022 Present projects to peers, highlighting the design process, technical challenges, and ethical considerations.<\\\/p>\",\"title\":\"Capstone Project\"}}]},{\"type\":\"image\",\"props\":{\"image\":\"wp-content\\\/uploads\\\/yootheme\\\/background-square-03.png\",\"image_svg_color\":\"emphasis\",\"image_width\":\"900\",\"margin\":\"default\",\"position\":\"absolute\",\"position_left\":\"48vw\",\"position_top\":\"20vh\",\"position_z_index\":\"0\",\"visibility\":\"l\"}}]}]}],\"name\":\"Job Description\"},{\"type\":\"section\",\"props\":{\"animation\":\"fade\",\"animation_delay\":\"200\",\"image_position\":\"center-center\",\"padding\":\"large\",\"padding_remove_bottom\":true,\"style\":\"default\",\"title_breakpoint\":\"xl\",\"title_position\":\"top-left\",\"title_rotation\":\"left\",\"vertical_align\":\"middle\",\"width\":\"xsmall\"},\"children\":[{\"type\":\"row\",\"children\":[{\"type\":\"column\",\"props\":{\"image_position\":\"center-center\",\"position_sticky_breakpoint\":\"m\"},\"children\":[{\"type\":\"headline\",\"props\":{\"animation\":\"none\",\"content\":\"\n\n<p class=\\\"p1\\\"><b>Advanced LLM Application Development<\\\/b><\\\/p>\\n(High School \\\/ DP)<br \\\/>\\n\n\n<h5><i>(16-20 weeks, 90-minute sessions)<\\\/i><\\\/h5>\",\"margin\":\"default\",\"position\":\"relative\",\"position_z_index\":\"1\",\"title_element\":\"h2\"}},{\"type\":\"switcher\",\"props\":{\"content_column_breakpoint\":\"m\",\"image_align\":\"top\",\"image_grid_breakpoint\":\"m\",\"image_grid_width\":\"1-2\",\"image_svg_color\":\"emphasis\",\"link_style\":\"default\",\"link_text\":\"Read more\",\"margin\":\"default\",\"meta_align\":\"below-title\",\"meta_element\":\"div\",\"meta_style\":\"text-meta\",\"nav\":\"tab\",\"nav_align\":\"left\",\"nav_grid_breakpoint\":\"m\",\"nav_grid_width\":\"auto\",\"nav_position\":\"top\",\"show_content\":true,\"show_image\":true,\"show_label\":true,\"show_link\":true,\"show_meta\":true,\"show_thumbnail\":true,\"show_title\":true,\"switcher_animation\":\"fade\",\"switcher_height\":true,\"thumbnav_height\":\"75\",\"thumbnav_svg_color\":\"emphasis\",\"thumbnav_width\":\"100\",\"title_align\":\"top\",\"title_element\":\"h3\",\"title_grid_breakpoint\":\"m\",\"title_grid_width\":\"1-2\"},\"children\":[{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4 class=\\\"p1\\\"><b>LLM Fundamentals &amp; Advanced Prompting<\\\/b><b><\\\/b><\\\/h4>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>Course Introduction &amp; LLM Overview:<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>In-depth exploration of Transformer architectures, training processes, and data challenges.<\\\/p>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Discussion on the evolution and current state-of-the-art in LLMs.<\\\/p>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>Advanced Prompt Engineering:<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Learn sophisticated techniques to optimize LLM responses in complex scenarios.<\\\/p>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Analyze real-world examples and experiment with different prompt formulations.<\\\/p>\",\"title\":\"Weeks 1-4\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4 class=\\\"p1\\\"><b>Coding, API Integration &amp; Retrieval-Augmented Generation (RAG)<\\\/b><b><\\\/b><\\\/h4>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>Coding &amp; API Integration:<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Hands-on sessions using Python to interact with LLM APIs (e.g., OpenAI).<\\\/p>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Focus on parameter tuning, error handling, and output evaluation.<\\\/p>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>RAG (Retrieval-Augmented Generation):<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Understand how to combine real-time data retrieval with LLM generation to enhance answer quality.<\\\/p>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Implement prototype workflows that integrate external knowledge sources.<\\\/p>\",\"title\":\"Weeks 5-8\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4 class=\\\"p1\\\"><b>Model Fine-Tuning &amp; Capstone Project Planning<\\\/b><b><\\\/b><\\\/h4>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>Model Fine-Tuning:<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Explore concepts and practical techniques for fine-tuning a pre-trained LLM for specialized tasks.<\\\/p>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Engage in hands-on exercises, including data preparation and iterative training.<\\\/p>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>Team Project Planning:<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Initiate a capstone project where teams propose a real-world AI application leveraging LLMs.<\\\/p>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Develop project proposals covering technical approach, ethical considerations, and feasibility.<\\\/p>\",\"title\":\"Weeks 9-12\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<h4 class=\\\"p1\\\"><b>Multimodal Integration<\\\/b><\\\/h4>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>Image &amp; Visual Content Generation:<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Integrate APIs like DALL\\u00b7E or Stable Diffusion to generate dynamic visual content.<\\\/p>\\n\n\n<h5 class=\\\"p2\\\"><span class=\\\"s1\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span><\\\/span><b>Audio &amp; Video Synthesis:<\\\/b><b><\\\/b><\\\/h5>\\n\n\n<p class=\\\"p3\\\"><span class=\\\"Apple-tab-span\\\"> <\\\/span>\\u2022<span class=\\\"Apple-tab-span\\\"> <\\\/span>Develop skills in text-to-speech (TTS) and explore basic video creation\\\/editing techniques.<\\\/p>\",\"title\":\"Weeks 13-16\"}},{\"type\":\"switcher_item\",\"props\":{\"content\":\"\n\n<div><\\\/div>\\n\n\n<div><span> \\u2022 Teams develop and refine a comprehensive AI application that integrates text, image, voice, and video outputs.<\\\/span><\\\/div>\\n\n\n<div><span> \\u2022 Final presentations include a live demo, detailed documentation, and a project defense session.<\\\/span><\\\/div>\",\"title\":\"Capstone Project\"}}]},{\"type\":\"image\",\"props\":{\"image\":\"wp-content\\\/uploads\\\/yootheme\\\/background-square-03.png\",\"image_svg_color\":\"emphasis\",\"image_width\":\"900\",\"margin\":\"default\",\"position\":\"absolute\",\"position_left\":\"48vw\",\"position_top\":\"20vh\",\"position_z_index\":\"0\",\"visibility\":\"l\"}}]}]}],\"name\":\"DP\"},{\"type\":\"section\",\"props\":{\"image_position\":\"center-center\",\"padding_remove_bottom\":true,\"style\":\"default\",\"title_breakpoint\":\"xl\",\"title_position\":\"top-left\",\"title_rotation\":\"left\",\"vertical_align\":\"middle\",\"width\":\"large\"},\"children\":[{\"type\":\"row\",\"props\":{\"layout\":\"3-4,1-4\",\"width\":\"xsmall\"},\"children\":[{\"type\":\"column\",\"props\":{\"image_position\":\"center-center\",\"position_sticky_breakpoint\":\"m\",\"width_medium\":\"3-4\"},\"children\":[{\"type\":\"panel\",\"props\":{\"content\":\"\n\n<p>Contact Rhoda for Immediate support and information<\\\/p>\",\"content_column_breakpoint\":\"m\",\"content_margin\":\"small\",\"icon_width\":80,\"image\":\"wp-content\\\/uploads\\\/2025\\\/03\\\/Rhoda.png\",\"image_align\":\"left\",\"image_alt\":\"Rhoda Chen\",\"image_border\":\"circle\",\"image_grid_breakpoint\":\"s\",\"image_grid_width\":\"auto\",\"image_height\":\"100\",\"image_svg_color\":\"emphasis\",\"image_width\":\"100\",\"link_style\":\"default\",\"link_text\":\"Read more\",\"margin\":\"default\",\"meta_align\":\"below-title\",\"meta_element\":\"div\",\"meta_style\":\"text-meta\",\"text_align\":\"left\",\"text_align_breakpoint\":\"s\",\"text_align_fallback\":\"center\",\"title\":\"Rhoda Chen\",\"title_align\":\"top\",\"title_element\":\"h3\",\"title_grid_breakpoint\":\"m\",\"title_grid_width\":\"1-2\",\"title_hover_style\":\"reset\"}}]},{\"type\":\"column\",\"props\":{\"image_position\":\"center-center\",\"position_sticky_breakpoint\":\"m\",\"width_medium\":\"1-4\"},\"children\":[{\"type\":\"button\",\"props\":{\"grid_column_gap\":\"small\",\"grid_row_gap\":\"small\",\"margin\":\"default\"},\"children\":[{\"type\":\"button_item\",\"props\":{\"button_style\":\"default\",\"content\":\"Apply Now\",\"icon_align\":\"left\",\"link\":\"mailto:rhoda.chen@lingx-ai.com\"}}]}]}]},{\"type\":\"row\",\"children\":[{\"type\":\"column\",\"props\":{\"image_position\":\"center-center\",\"position_sticky_breakpoint\":\"m\"},\"children\":[{\"type\":\"divider\",\"props\":{\"divider_element\":\"hr\"}}]}]}],\"name\":\"Contact\"}],\"version\":\"4.0.9\"} --><\/p>","protected":false},"excerpt":{"rendered":"<p>Cultivating AI Mindset AI Training Curriculum to Students for After School Club \/ ECA Apply Now Onsite Face-to-Face Course Delivery English or Chinese Language Elementary School, Middle School, High School Suitable Overall Aim:A K-12 curriculum designed under the IB framework that empowers students with a deep understanding of Large Language Models (LLM) and multimodal AI [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-1889","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/pages\/1889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/comments?post=1889"}],"version-history":[{"count":23,"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/pages\/1889\/revisions"}],"predecessor-version":[{"id":1935,"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/pages\/1889\/revisions\/1935"}],"wp:attachment":[{"href":"https:\/\/www.lingx-ai.com\/zh\/wp-json\/wp\/v2\/media?parent=1889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}