Starweaver – GenAI Model Development And Production Engineering 2026 BOOKWARE-LERNSTUF
Starweaver – GenAI Model Development And Production Engineering 2026 BOOKWARE-LERNSTUF | Apps-Tutorials | MKV | 1.51 GiB
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Starweaver
GenAI Model Development And Production Engineering
2026
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.. - - - /- --- _- [ R E L E A S E D E T A i L S ]- . ./\ . - __./---'
Release Date : 2026-07-18
Publisher : Starweaver
Title : GenAI Model Development And Production Engineering
Year : 2026
Month : 06
Category : Unknown
Language : English
Section : BOOKWARE
Files : 04 x 500 MB
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.. - - ___- _/ \____--[ R E L E A S E N O T E S ] _-- -\\_ ___--'-__ ..
https://learning.oreilly.com/videos/-/9781808345319/
In this 4-hour course, learners develop production GenAI skills across model
fine-tuning, deployment planning, monitoring, maintenance, and scalable
optimization. What I will be able to do after this course Execute fine-tuning
workflows Implement production deployment strategies Construct maintenance
protocols Apply scalable deployment patterns Monitor GenAI system performance
Course Instructor Starweaver collaborates with a global network of expert
educators to deliver engaging, practical learning experiences. Focused on
empowering individuals and organizations, they equip learners with skills to
navigate challenges in technology, business, and design. Who is it for This
course is for ML engineers, DevOps engineers, platform engineers, and
technical architects who deploy, manage, and optimize reliable GenAI systems
in production environments.
_ . __.
.. - - _//- ___\____---' [ 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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File List:
30M 001-Chapter_1_Introduction 30M 001-Chapter_1_Introduction/001-course_introduction.mkv 320M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering 19M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/002-generative_ai_impact_on_engineering.mkv 18M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/003-fundamentals_of_generative_ai_systems_architecture.mkv 31M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/004-setting_up_genai_development_environments_local_and_cloud.mkv 23M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/005-enterprise_implementation_success_stories.mkv 17M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/006-llm_components_and_core_mechanics.mkv 79M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/007-enterprise_llm_model_comparison.mkv 14M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/008-llm_integration_and_api_setup.mkv 28M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/009-strategic_model_selection_framework.mkv 15M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/010-enterprise_genai_application_matrix.mkv 43M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/011-industry_specific_solution_architecture.mkv 14M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/012-support_assistant_system_design.mkv 24M 002-Chapter_2_Introduction_To_GenAI_Model_Development_And_Production_Engineering/013-roi_measurement_and_metrics.mkv 524M 003-Chapter_3_Fine-Tuning_Basics 20M 003-Chapter_3_Fine-Tuning_Basics/014-model_fine_tuning_core_concepts.mkv 16M 003-Chapter_3_Fine-Tuning_Basics/015-training_data_preparation_guide.mkv 140M 003-Chapter_3_Fine-Tuning_Basics/016-basic_fine_tuning_implementation_process.mkv 18M 003-Chapter_3_Fine-Tuning_Basics/017-model_testing_evaluation_framework.mkv 21M 003-Chapter_3_Fine-Tuning_Basics/018-advanced_fine_tuning_strategy_design.mkv 16M 003-Chapter_3_Fine-Tuning_Basics/019-performance_metric_analysis_framework.mkv 107M 003-Chapter_3_Fine-Tuning_Basics/020-advanced_fine_tuning_implementation_guide.mkv 15M 003-Chapter_3_Fine-Tuning_Basics/021-model_iteration_process_framework.mkv 23M 003-Chapter_3_Fine-Tuning_Basics/022-support_data_preparation_strategy.mkv 17M 003-Chapter_3_Fine-Tuning_Basics/023-support_model_training_framework.mkv 120M 003-Chapter_3_Fine-Tuning_Basics/024-support_model_implementation_guide.mkv 17M 003-Chapter_3_Fine-Tuning_Basics/025-quality_control_testing_protocol.mkv 504M 004-Chapter_4_Deployment 15M 004-Chapter_4_Deployment/026-production_deployment_strategy_design.mkv 17M 004-Chapter_4_Deployment/027-infrastructure_requirements_planning_framework.mkv 96M 004-Chapter_4_Deployment/028-production_deployment_implementation_guide.mkv 17M 004-Chapter_4_Deployment/029-deployment_best_practices_protocol.mkv 21M 004-Chapter_4_Deployment/030-system_monitoring_strategy_design.mkv 16M 004-Chapter_4_Deployment/031-performance_metrics_analysis_framework.mkv 68M 004-Chapter_4_Deployment/032-monitoring_tools_implementation_guide.mkv 19M 004-Chapter_4_Deployment/033-maintenance_protocol_development_framework.mkv 20M 004-Chapter_4_Deployment/034-support_architecture_planning_guide.mkv 19M 004-Chapter_4_Deployment/035-integration_strategy_development_framework.mkv 43M 004-Chapter_4_Deployment/036-support_system_implementation_guide.mkv 18M 004-Chapter_4_Deployment/037-performance_testing_protocol_design.mkv 21M 004-Chapter_4_Deployment/038-content_generation_system_design.mkv 18M 004-Chapter_4_Deployment/039-code_assistant_implementation_guide.mkv 83M 004-Chapter_4_Deployment/040-alternative_implementation_techniques_guide.mkv 19M 004-Chapter_4_Deployment/041-use_case_selection_framework.mkv 171M 005-Chapter_5_Future_Trends 32M 005-Chapter_5_Future_Trends/042-future_technology_landscape_analysis.mkv 19M 005-Chapter_5_Future_Trends/043-industry_impact_assessment_framework.mkv 106M 005-Chapter_5_Future_Trends/044-emerging_tools_implementation_guide.mkv 16M 005-Chapter_5_Future_Trends/045-technology_adoption_strategy_design.mkv 652K LERNSTUF 648K LERNSTUF/lernstuf_introduction_2025.rar 1.6G total
File: 001-course_introduction.mkv Size: 31021757 bytes (29.58 MiB), duration: 00:04:01, avg.bitrate: 1030 kb/s Audio: aac, 44100 Hz, stereo (eng) Video: h264, yuv420p, 1920x1080, 60.00 fps(r) Subtitles: eng
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Keywords: Starweaver, 8211, GenAI, Model, Development, And, Production, Engineering, 2026, BOOKWARE, LERNSTUFDownload from Nitroflare
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