Linkedin Learning – Build With AI Production Ready AI Agent Systems On Databricks 2026 BOOKWARE-LERNSTUF

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                               Linkedin Learning
         Build With AI Production Ready AI Agent Systems On Databricks
                                      2026
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 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-06-05
  Publisher    : Linkedin Learning
  Title        : Build With AI Production Ready AI Agent Systems On Databricks
  Year         : 2026
  Month        : 05
  Category     : Unknown
  Language     : English
  Section      : BOOKWARE
  Files        : 04 x 100 MB
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 .. - - ___- _/ \____--[   R E L E A S E   N O T E S   ] _-- -\\_ ___--'-__ .. 
 https://www.linkedin.com/learning/build-with-ai-production-ready-ai-agent-syst
                               ems-on-databricks
   Building AI agents is becoming more accessible, but moving from a working
  prototype to production requires knowing when multiagent architectures make
  sense, how to evaluate their performance, and which tools can help you build
  more reliably. In this course, join Viktoria Semaan, Principal AI Evangelist
     at Databricks, as she demonstrates how to design and deploy a complete
 multiagent system in Databricks using a realistic bookstore scenario. Explore
  multiagent architecture patterns, evaluate agent performance with MLflow 3,
  and apply Databricks tools to accelerate development. Along the way, examine
  each system component in detail, troubleshoot common integration challenges,
   and explore reusable architecture patterns alongside working code from the
       course repository that you can adapt to your own unique use cases.
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 .. - - _//- ___\____---' [   R E C R U i T i N G   ] . - _\_ ___--'-_ -- -_ . 
                         iF YOU HAVE ANYTHiNG TO OFFER                         
                CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW               
              ...       .                                      ___.            
 .. - - ___- _/ \____--' \ [   G R E E T i N G S   ] _-------' \\___-- -  // . 
    GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE    
       STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE       
          _                                                   _             _  
 .. -_- -/_- __--\__ [   C O N T A C T   D E T A i L S   ] --- -___-- -  \ - . 
                         lernstuf [at] proton [dot] me                         
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5.8M	001-building_enterprise_ai_agents.mkv
17M	002-what_this_course_covers.mkv
36M	003-ai_functions_for_parsing_data.mkv
21M	004-building_the_products_table.mkv
23M	005-understanding_vector_search.mkv
19M	006-creating_and_testing_a_vector_index.mkv
19M	007-rag_concepts_and_playground_prototyping.mkv
32M	008-building_custom_rag_agent_in_notebook.mkv
24M	009-mlflow_and_evaluations.mkv
32M	010-custom_scorers_and_deployment.mkv
18M	011-ai_bi_genie_generate_tables.mkv
20M	012-ai_bi_genie_setting_up_the_space.mkv
22M	013-creating_a_knowledge_assistant.mkv
20M	014-improving_knowledge_assistant_with_human_feedback.mkv
18M	015-adding_external_mcp_web_search.mkv
23M	016-building_and_testing_supervisor_agent.mkv
17M	017-troubleshooting_and_clean_up.mkv
36K	Articles
20K	Articles/compare_knowledge_assistant_vs_custom_rag.pdf
12K	Articles/next_steps_and_resources.pdf
8.0K	Exercises
4.0K	Exercises/source_code_link.txt
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
358M	total