Packt Publishing – Hands-On AI Agent Development With Claude API In Python 2026 BOOKWARE-LERNSTUF

Packt Publishing – Hands-On AI Agent Development With Claude API In Python 2026 BOOKWARE-LERNSTUF | Apps-Tutorials | MKV | 633.56 MiB

288 kb/s 2058×1080 | AAC 128 kb/s 2 CH

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                                Packt Publishing
            Hands-On AI Agent Development With Claude API In Python
                                      2026
            __.                                                ..            . 
 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-05-24
  Publisher    : Packt Publishing
  Title        : Hands-On AI Agent Development With Claude API In Python
  Year         : 2026
  Month        : 05
  Category     : Unknown
  Language     : English
  Section      : BOOKWARE
  Files        : 03 x 250 MB
               _                                             .                 
 .. - - ___- _/ \____--[   R E L E A S E   N O T E S   ] _-- -\\_ ___--'-__ .. 
              https://learning.oreilly.com/videos/-/9781808084836/
 In this 2-hour course, you will learn to develop AI agents using the Claude 3
  API in Python. The course covers LLMs, transformers, prompt engineering, and
   model evaluation, with hands-on projects that improve your AI application
 architecture and latency. Youll also explore integrating the Claude 3 API for
  real-world applications. What I will be able to do after this course Master
  the basics of LLMs and transformers Create effective prompts using advanced
     engineering techniques Understand how RAG pipelines are built and used
     Integrate and utilize the Claude 3 API for AI applications Improve AI
    application performance by reducing latency Course Instructor(s) Justin
 Barnett is a software engineer and AI creator with over 8 years of experience
   in machine learning. He is passionate about education and helping students
   develop practical AI skills. Who is it for This course is designed for AI
      developers, data scientists, and engineers who want to deepen their
    understanding of AI tools and architectures. A basic knowledge of AI and
                        machine learning is recommended.
                _       .                                 __.                  
 .. - - _//- ___\____---' [   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:
20M	001-Chapter_1_Introduction
2.3M	001-Chapter_1_Introduction/001-introduction.mkv
17M	001-Chapter_1_Introduction/002-ai_definitions_and_acronyms.mkv
227M	002-Chapter_2_AI_Overview
11M	002-Chapter_2_AI_Overview/003-what_are_llms_large_language_models.mkv
35M	002-Chapter_2_AI_Overview/004-how_do_transformers_work.mkv
24M	002-Chapter_2_AI_Overview/005-basics_of_prompt_engineering.mkv
12M	002-Chapter_2_AI_Overview/006-zero_shot_and_few_shot_prompting.mkv
20M	002-Chapter_2_AI_Overview/007-how_to_evaluate_prompts_and_models.mkv
22M	002-Chapter_2_AI_Overview/008-a_framework_to_writing_good_prompts.mkv
32M	002-Chapter_2_AI_Overview/009-what_makes_a_model_multimodal.mkv
20M	002-Chapter_2_AI_Overview/010-what_is_rag_retrieval_augmented_generation.mkv
37M	002-Chapter_2_AI_Overview/011-what_is_mcp_model_context_protocol.mkv
18M	002-Chapter_2_AI_Overview/012-what_is_fine_tuning.mkv
40M	003-Chapter_3_Claude_3_API_Overview
7.8M	003-Chapter_3_Claude_3_API_Overview/013-model_differences_and_pricing_opus_haiku_sonnet.mkv
9.7M	003-Chapter_3_Claude_3_API_Overview/014-api_capabilities.mkv
3.3M	003-Chapter_3_Claude_3_API_Overview/015-getting_an_anthropic_api_key.mkv
3.6M	003-Chapter_3_Claude_3_API_Overview/016-client_libraries_sdks.mkv
15M	003-Chapter_3_Claude_3_API_Overview/017-using_the_messages_api.mkv
293M	004-Chapter_4_AI_Application_Architecture
13M	004-Chapter_4_AI_Application_Architecture/018-strategies_to_reduce_latency.mkv
6.2M	004-Chapter_4_AI_Application_Architecture/019-rate_limits.mkv
26M	004-Chapter_4_AI_Application_Architecture/020-ai_application_architecture.mkv
107M	004-Chapter_4_AI_Application_Architecture/021-building_a_rag_pipeline_from_scratch.mkv
57M	004-Chapter_4_AI_Application_Architecture/022-rag_reranking_for_limited_context_windows.mkv
41M	004-Chapter_4_AI_Application_Architecture/023-what_are_ai_agents.mkv
46M	004-Chapter_4_AI_Application_Architecture/024-open_sourced_models_vs_closed_source_models.mkv
55M	005-Chapter_5_Tool_Calling_With_Claude
5.8M	005-Chapter_5_Tool_Calling_With_Claude/025-what_is_a_tool_call_and_how_are_they_used_in_ai_agents.mkv
11M	005-Chapter_5_Tool_Calling_With_Claude/026-basic_building_blocks___defining_tools.mkv
32M	005-Chapter_5_Tool_Calling_With_Claude/027-chaining_tool_calls_together_to_answer_advanced_questions.mkv
6.5M	005-Chapter_5_Tool_Calling_With_Claude/028-best_practices_for_tool_use.mkv
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
634M	total

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Keywords: Packt, Publishing, 8211, Hands, Agent, Development, With, Claude, API, Python, 2026, BOOKWARE, LERNSTUF
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