Linkedin Learning – Artificial Intelligence Foundations Getting Started With Intelligent Systems 2026 BOOKWARE-LERNSTUF

By Pacman On May 23, 2026

Linkedin Learning - Artificial Intelligence Foundations Getting Started With Intelligent Systems 2026 BOOKWARE-LERNSTUF

Linkedin Learning – Artificial Intelligence Foundations Getting Started With Intelligent Systems 2026 BOOKWARE-LERNSTUF | Apps-Tutorials | MKV | 386.48 MiB

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                               Linkedin Learning
  Artificial Intelligence Foundations Getting Started With Intelligent Systems
                                      2026
            __.                                                ..            . 
 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-05-17
  Publisher    : Linkedin Learning
  Title        : Artificial Intelligence Foundations Getting Started With Intelligent Systems
  Year         : 2026
  Month        : 05
  Category     : Unknown
  Language     : English
  Section      : BOOKWARE
  Files        : 03 x 150 MB
               _                                             .                 
 .. - - ___- _/ \____--[   R E L E A S E   N O T E S   ] _-- -\\_ ___--'-__ .. 
 https://www.linkedin.com/learning/artificial-intelligence-foundations-getting-
                        started-with-intelligent-systems
 Most engineers work alongside AI systems every day without fully understanding
 how those systems functionand that gap creates real challenges when evaluating
  solutions, building pipelines, or collaborating with data science teams. In
 this course, join instructor and AI expert Laurence Moroney as he outlines the
 core technical foundations you need to work confidently with AI. Learn how to
     distinguish between AI paradigms, recognize when a problem requires a
 learning-based approach versus traditional code, and evaluate AI systems using
  proper metrics and risk frameworks. Along the way, build your vocabulary for
 the core concepts that drive modern machine learning, including probabilistic
 models, optimization, and generalization. By the end of this course, youll be
   equipped with in-demand skills to make informed technical decisions about
 AIwhether youre an early-career engineer, an aspiring ML practitioner, or just
                   curious to learn more about how AI works.
                _       .                                 __.                  
 .. - - _//- ___\____---' [   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                         
               .          .                    .-.                .            
 .. - - ___- _/ \____---' \\___-- .. - - ___- _/ \___----  -___-/__-- -  -- .  
           ._/       -     '                 -                 '    - .

File List:

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4.0M	001-why_ai_literacy_matters_for_engineers.mkv
20M	002-your_ai_career_path_from_code_to_intelligence.mkv
19M	003-deterministic_vs_probabilistic_traditional_vs_generative_ai.mkv
13M	004-the_ai_taxonomy_ai_ml_and_deep_learning_explained.mkv
18M	005-narrow_ai_vs_agi_what_engineers_should_know.mkv
14M	006-the_ai_data_workflow_from_raw_data_to_predictions.mkv
15M	007-search_algorithms_how_machines_find_solutions.mkv
15M	008-knowledge_graphs_and_ontologies_structuring_intelligence.mkv
17M	009-logic_and_rule_based_systems_the_original_ai.mkv
15M	010-why_explicit_programming_falls_short.mkv
16M	011-what_is_a_model_the_core_of_ml.mkv
12M	012-feature_extraction_and_vectors_turning_reality_into_data.mkv
15M	013-supervised_learning_teaching_with_labels.mkv
14M	014-unsupervised_learning_discovering_hidden_patterns.mkv
13M	015-reinforcement_learning_learning_through_rewards.mkv
13M	016-training_vs_inference_building_vs_using_models.mkv
9.1M	017-the_perceptron_birth_of_neural_networks.mkv
13M	018-deep_learning_power_through_layers.mkv
15M	019-generative_ai_machines_that_create.mkv
21M	020-large_language_models_why_they_matter.mkv
16M	021-diffusion_models_generating_images_with_math.mkv
14M	022-metrics_that_matter_beyond_accuracy.mkv
16M	023-overfitting_and_underfitting_avoiding_model_pitfalls.mkv
19M	024-bias_in_bias_out_detecting_and_mitigating_bias.mkv
12M	025-explainability_and_trust_making_ai_transparent.mkv
14M	026-choosing_the_right_use_case_when_ai_makes_sense.mkv
15M	027-your_next_steps_in_ai_engineering.mkv
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
387M	total

File: 001-why_ai_literacy_matters_for_engineers.mkv
Size: 4109032 bytes (3.92 MiB), duration: 00:00:46, avg.bitrate: 715 kb/s
Audio: aac, 44100 Hz, stereo
Video: h264, yuv420p, 1920x1080, 29.97 fps(r) (eng)
Subtitles: eng

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Keywords: Linkedin, Learning, 8211, Artificial, Intelligence, Foundations, Getting, Started, With, Intelligent, Systems, 2026, BOOKWARE, LERNSTUF

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