{"id":26349,"date":"2025-11-06T06:57:11","date_gmt":"2025-11-06T06:57:11","guid":{"rendered":"https:\/\/stage.cloudthat.com\/training\/?post_type=stm-courses&#038;p=26349"},"modified":"2025-11-06T06:57:11","modified_gmt":"2025-11-06T06:57:11","slug":"building-llm-applications-with-prompt-engineering","status":"publish","type":"stm-courses","link":"https:\/\/stage.cloudthat.com\/training\/nvidia-certification-course\/building-llm-applications-with-prompt-engineering","title":{"rendered":"Building LLM Applications With Prompt Engineering"},"content":{"rendered":"<p><span data-contrast=\"auto\">With the incredible capabilities of Large Language Models (LLMs), enterprises are eager to integrate them into their products and applications for use cases like text generation, large-scale document analysis, and chatbot assistants.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The fastest way to begin leveraging LLMs is through prompt engineering, a foundational technique that underpins advanced methods such as Retrieval-Augmented Generation (RAG) and Parameter-Efficient Fine-Tuning (PEFT).<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In this instructor-led workshop, participants will work with NVIDIA\u2019s NIM deployment of Llama 3.1 alongside the popular\u00a0LangChain\u00a0library. Through practical, hands-on projects, learners will gain the skills to design, build, and deploy powerful LLM-based applications using prompt engineering.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>With the incredible capabilities of Large Language Models (LLMs), enterprises are eager to integrate them into their products and applications for use cases like text generation, large-scale document analysis, and chatbot assistants.\u00a0 The fastest way to begin leveraging LLMs is through prompt engineering, a foundational technique that underpins advanced methods such as Retrieval-Augmented Generation (RAG) [&hellip;]<\/p>\n","protected":false},"author":5091,"featured_media":24821,"template":"","meta":{"footnotes":""},"stm_lms_course_taxonomy":[134],"metadata":{"stm_lms_product_id":["26350"],"_edit_lock":["1762412475:5091"],"_edit_last":["5091"],"permalink_customizer":["nvidia-certification-course\/building-llm-applications-with-prompt-engineering"],"permalink_customizer_regenerate_status":["1"],"_thumbnail_id":["24821"],"popular_course":["0"],"_popular_course":["field_64253688bc2e5"],"course_banner_image":[""],"_course_banner_image":["field_63c69a6b81cf1"],"mobile_banner_image":[""],"_mobile_banner_image":["field_63cf93896d207"],"banner_link":[""],"_banner_link":["field_63c69a9681cf2"],"banner_image":[""],"_banner_image":["field_621873548f922"],"banner_description":["Master Prompt Engineering with NVIDIA LLMs, LangChain, and Llama 3.1 to Build Scalable Generative AI Applications."],"_banner_description":["field_612c733ed3564"],"overview_section_heading":["Course Overview:"],"_overview_section_heading":["field_64538867ffdd0"],"after_completing_course_heading":["After completing this course, participants will be able to: "],"_after_completing_course_heading":["field_645c78ade3f50"],"after_completing_course_0_desciption":["Apply iterative prompt engineering best practices to create robust LLM applications."],"_after_completing_course_0_desciption":["field_6103ad2f9f5b2"],"after_completing_course_1_desciption":["Use LangChain to organize, compose, and optimize LLM workflows."],"_after_completing_course_1_desciption":["field_6103ad2f9f5b2"],"after_completing_course_2_desciption":["Write Python application code for generative tasks, document analysis, and chatbot development."],"_after_completing_course_2_desciption":["field_6103ad2f9f5b2"],"after_completing_course_3_desciption":["Build applications leveraging structured outputs from LLMs."],"_after_completing_course_3_desciption":["field_6103ad2f9f5b2"],"after_completing_course_4_desciption":["Develop and integrate LLM-powered agents capable of tool use and real-time data integration."],"_after_completing_course_4_desciption":["field_6103ad2f9f5b2"],"after_completing_course_5_desciption":["Deploy NVIDIA LLM NIM with Llama 3.1 for scalable enterprise-ready applications."],"_after_completing_course_5_desciption":["field_6103ad2f9f5b2"],"after_completing_course":["6"],"_after_completing_course":["field_6103aae828228"],"key_features_heading":["Key Features:"],"_key_features_heading":["field_645388ceffdd1"],"key_features_0_lists":["<span data-contrast=\"auto\">Hands-On Prompt Engineering<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Practical exercises in crafting and refining prompts.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Build applications covering generation, analysis, and chatbots.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\r\n<\/ul>"],"_key_features_0_lists":["field_6103ad559f5b3"],"key_features_1_lists":["<span data-contrast=\"auto\">LangChain\u00a0&amp; NVIDIA Ecosystem Integration<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Learn how to build reusable, composable LLM workflows.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Use NVIDIA NIM to deploy Llama 3.1 efficiently.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\r\n<\/ul>"],"_key_features_1_lists":["field_6103ad559f5b3"],"key_features_2_lists":["<span data-contrast=\"auto\">Real-World Use Cases<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Document tagging, structured output, chatbots with persona-driven roles, and tool integration.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\r\n<\/ul>"],"_key_features_2_lists":["field_6103ad559f5b3"],"key_features_3_lists":["<span data-contrast=\"auto\">Project-Based Learning<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Multiple\u00a0mini-projects\u00a0after each module.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\r\n<\/ul>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"6\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Final assessment project integrating prompts,\u00a0LangChain, structured outputs, and agentic tools.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\r\n<\/ul>"],"_key_features_3_lists":["field_6103ad559f5b3"],"key_features_4_lists":["<span data-contrast=\"auto\">Certification of Competency<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>\r\n<ul>\r\n \t<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1080,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Earn an NVIDIA DLI certificate to\u00a0validate\u00a0your practical skills.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\r\n<\/ul>"],"_key_features_4_lists":["field_6103ad559f5b3"],"key_features":["5"],"_key_features":["field_6103aaff28229"],"who_should_attend_heading":["Who should Attend?"],"_who_should_attend_heading":["field_645388faffdd2"],"who_should_attend_0_attend_lists":["Python developers exploring LLM application development"],"_who_should_attend_0_attend_lists":["field_6103adfb3f3e4"],"who_should_attend_1_attend_lists":["Data scientists and AI engineers"],"_who_should_attend_1_attend_lists":["field_6103adfb3f3e4"],"who_should_attend_2_attend_lists":["Solution architects designing enterprise generative AI solutions"],"_who_should_attend_2_attend_lists":["field_6103adfb3f3e4"],"who_should_attend_3_attend_lists":["Technical professionals seeking to integrate LLMs into workflows"],"_who_should_attend_3_attend_lists":["field_6103adfb3f3e4"],"who_should_attend":["4"],"_who_should_attend":["field_6103ab0d2822a"],"prerequisites_heading":["Prerequisites:"],"_prerequisites_heading":["field_64538a51ffdd3"],"prerequisites_text":["<li>Intermediate-level Python programming skills <li\\>\r\n\r\n<li>Basic understanding of LLM fundamentals (tokenization, embeddings, etc.) <li\\>\r\n\r\n<li>Familiarity with APIs and JSON-based workflows recommended <li\\>"],"_prerequisites_text":["field_612c7498c4b84"],"question_sets_details_heading":[""],"_question_sets_details_heading":["field_65d303841f38d"],"question_sets_details_description":[""],"_question_sets_details_description":["field_65d303841f38e"],"question_sets_details_button_text":[""],"_question_sets_details_button_text":["field_65d303841f38f"],"question_sets_details_question_sets":[""],"_question_sets_details_question_sets":["field_65d303841f390"],"question_sets_details":[""],"_question_sets_details":["field_65d303841f38c"],"category_features_heading":[""],"_category_features_heading":["field_644b8ff35049c"],"category_features_features":[""],"_category_features_features":["field_644b90025049d"],"category_features_cta_text":[""],"_category_features_cta_text":["field_644b90285049f"],"category_features_cta_link":[""],"_category_features_cta_link":["field_644b902d504a0"],"category_features":[""],"_category_features":["field_644b8fe15049b"],"course_features_0_heading":["Why choose 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NVIDIA provides cloud-based GPU-accelerated servers for hands-on labs.\"},{\"question\":\"Is this course beginner-friendly?\",\"answer\":\"It is designed for Python developers with intermediate coding skills; prior LLM exposure is helpful but not mandatory.\"},{\"question\":\"How does this course help in career growth?\",\"answer\":\"It provides practical, industry-relevant skills in Generative AI and prompt engineering, opening opportunities in AI engineering, solution architecture, and applied 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