Pearson – Cisco AI Technical Practitioner 810-110 AITECH 2026 BOOKWARE-LERNSTUF

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                                    Pearson
                 Cisco AI Technical Practitioner 810-110 AITECH
                                      2026
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 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-07-17
  Publisher    : Pearson
  Title        : Cisco AI Technical Practitioner 810-110 AITECH
  Year         : 2026
  Month        : 07
  Category     : Unknown
  Language     : English
  Section      : BOOKWARE
  Files        : 15 x 500 MB
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              https://learning.oreilly.com/videos/-/9780135941546/
   Cisco AI Technical Practitioner 810-110 (AITECH) Video Course Learn how to
  apply todays most important AI technologies to real-world IT and enterprise
  environments while preparing for the Cisco AI Technical Practitioner (AITECH
    810-110) certification exam. The Cisco AI Technical Practitioner 810-110
   (AITECH) Video Course provides a practical introduction to generative AI,
  prompt engineering, AI security and ethics, workflow automation, and agentic
 AI. Through engaging video lessons, guided demonstrations, hands-on labs, and
 quiz walkthroughs, youll develop the knowledge and technical skills needed to
    confidently deploy and use AI technologies across modern organizations.
  Whether youre preparing for the Cisco certification exam or looking to build
  practical AI skills for todays technology workforce, this course provides a
   comprehensive learning experience focused on real-world implementation and
  best practices. Learn How To Understand todays leading generative AI models
   and when to use them Evaluate AI hosting options and deployment strategies
   Apply prompt engineering techniques to improve AI accuracy and consistency
   Protect AI systems against prompt injection and other AI-specific security
    threats Implement responsible AI principles, governance, and ethical AI
   practices Use AI to automate research, software development, and business
     workflows Build and orchestrate Agentic AI systems using modern design
  principles and the Model Context Protocol (MCP) Integrate AI into enterprise
      environments while balancing performance, security, and cost Prepare
      confidently for the Cisco AI Technical Practitioner (AITECH 810-110)
 certification exam Who Should Take This Course IT professionals preparing for
     the Cisco AI Technical Practitioner certification Network, cloud, and
     cybersecurity engineers looking to build AI skills Software developers
     integrating AI into applications and workflows Technical professionals
  responsible for AI implementation and automation Data analysts and technical
      practitioners using AI to improve productivity Anyone interested in
  understanding how AI is transforming enterprise IT Course Requirements Basic
 understanding of AI concepts Familiarity with IT infrastructure and enterprise
 technologies General knowledge of software development concepts is helpful but
      not required No prior AI programming experience is necessary Lesson
 Descriptions: Lesson 1: Understanding Generative AI Models Build a foundation
 in modern generative AI by exploring leading large language models, deployment
          options, hosting strategies, context windows, tokenization,
    Retrieval-Augmented Generation (RAG), and selecting the right model for
    different business and technical use cases. Lesson 2: Prompt Engineering
 Fundamentals Learn how to communicate effectively with AI systems using proven
     prompt engineering techniques. Explore prompt design, prompt chaining,
    structured prompting, prompt injection attacks, and defensive prompting
  strategies to improve AI performance and reliability. Lesson 3: Responsible
    AI, Ethics, and Security Understand how organizations securely deploy AI
    systems while maintaining governance and compliance. This lesson covers
    responsible AI principles, data privacy, AI security threats, governance
 frameworks, and practical approaches to protecting enterprise AI deployments.
   Lesson 4: AI for Data Research and Analysis Discover how AI enhances data
   exploration, research, automated analysis, reporting, and decision-making
 while understanding the ethical considerations and limitations associated with
   AI-generated insights. Lesson 5: AI for Software Development and Workflow
 Automation Learn how AI is transforming software development and IT operations
  through code generation, application development, workflow automation, CI/CD
    integration, code quality improvements, and cost optimization. Lesson 6:
 Building Agentic AI Systems Explore the next generation of AI by learning how
 intelligent AI agents reason, plan, and interact with external systems. Topics
 include agent design principles, Model Context Protocol (MCP), orchestration,
 human-in-the-loop workflows, and enterprise AI agent architectures. Lesson 7:
     Final Exam Preparation and Next Steps Review the key concepts covered
 throughout the course, prepare for the Cisco AI Technical Practitioner (AITECH
 810-110) certification exam, explore exam strategies, and identify next steps
                    for continuing your AI learning journey.
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    GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE    
       STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE       
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                         lernstuf [at] proton [dot] me                         
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           ._/       -     '                 -                 '    - .        

226M	001-Introduction
226M	001-Introduction/001-cisco_ai_technical_practitioner_810_110_aitech_introduction.mkv
1.2G	002-Lesson_1_Generative_AI_Models
143M	002-Lesson_1_Generative_AI_Models/002-learning_objectives.mkv
114M	002-Lesson_1_Generative_AI_Models/003-1_introduction_to_generative_ai_models.mkv
98M	002-Lesson_1_Generative_AI_Models/004-2_model_hosting_options.mkv
175M	002-Lesson_1_Generative_AI_Models/005-3_context_windows_and_token_management.mkv
113M	002-Lesson_1_Generative_AI_Models/006-4_model_selection_in_ai_hubs.mkv
75M	002-Lesson_1_Generative_AI_Models/007-5_using_open_weight_models_and_introducing_hugging_face.mkv
129M	002-Lesson_1_Generative_AI_Models/008-6_retrieval_augmented_generation_rag_embeddings_and_vector_databases.mkv
91M	002-Lesson_1_Generative_AI_Models/009-7_understanding_agentic_rag.mkv
234M	002-Lesson_1_Generative_AI_Models/010-8_vector_databases_and_embedding_models.mkv
1017M	003-Lesson_2_Prompt_Engineering
133M	003-Lesson_2_Prompt_Engineering/011-learning_objectives.mkv
110M	003-Lesson_2_Prompt_Engineering/012-1_introduction_to_prompt_engineering.mkv
101M	003-Lesson_2_Prompt_Engineering/013-2_prompt_engineering_principles_and_patterns.mkv
133M	003-Lesson_2_Prompt_Engineering/014-3_prompting_techniques.mkv
110M	003-Lesson_2_Prompt_Engineering/015-4_prompt_injection_attack_types.mkv
79M	003-Lesson_2_Prompt_Engineering/016-5_defensive_prompting_and_error_mitigation.mkv
105M	003-Lesson_2_Prompt_Engineering/017-6_exploring_the_owasp_generative_ai_security_resources.mkv
131M	003-Lesson_2_Prompt_Engineering/018-7_introducing_the_coalition_for_secure_ai_cosai.mkv
118M	003-Lesson_2_Prompt_Engineering/019-8_introducing_the_mitre_atlas.mkv
475M	004-Lesson_3_Ethics_And_Security
49M	004-Lesson_3_Ethics_And_Security/020-learning_objectives.mkv
63M	004-Lesson_3_Ethics_And_Security/021-1_introduction_to_ai_ethics_and_security.mkv
78M	004-Lesson_3_Ethics_And_Security/022-2_responsible_ai_principles.mkv
97M	004-Lesson_3_Ethics_And_Security/023-3_corporate_data_privacy_and_security_approaches.mkv
102M	004-Lesson_3_Ethics_And_Security/024-4_ai_security_threats_and_risks.mkv
87M	004-Lesson_3_Ethics_And_Security/025-5_ai_governance_considerations.mkv
509M	005-Lesson_4_Data_Research_And_Analysis
50M	005-Lesson_4_Data_Research_And_Analysis/026-learning_objectives.mkv
94M	005-Lesson_4_Data_Research_And_Analysis/027-1_introduction_to_data_research_and_analysis.mkv
64M	005-Lesson_4_Data_Research_And_Analysis/028-2_ais_role_in_exploratory_data_analysis_eda.mkv
96M	005-Lesson_4_Data_Research_And_Analysis/029-3_automated_data_preparation.mkv
127M	005-Lesson_4_Data_Research_And_Analysis/030-4_ethical_and_privacy_considerations.mkv
80M	005-Lesson_4_Data_Research_And_Analysis/031-5_ai_assisted_research_ideation_and_content_drafting.mkv
2.4G	006-Lesson_5_Development_And_Workflow_Automation
34M	006-Lesson_5_Development_And_Workflow_Automation/032-learning_objectives.mkv
106M	006-Lesson_5_Development_And_Workflow_Automation/033-1_introduction_to_ai_for_code_and_workflow_optimization.mkv
92M	006-Lesson_5_Development_And_Workflow_Automation/034-2_ais_role_across_the_software_development_lifecycle.mkv
158M	006-Lesson_5_Development_And_Workflow_Automation/035-3_code_generation_and_rapid_prototyping.mkv
76M	006-Lesson_5_Development_And_Workflow_Automation/036-4_ai_workflow_design_and_monitoring.mkv
68M	006-Lesson_5_Development_And_Workflow_Automation/037-5_token_usage_and_context_window_management.mkv
175M	006-Lesson_5_Development_And_Workflow_Automation/038-6_code_quality_improvement_with_ai.mkv
221M	006-Lesson_5_Development_And_Workflow_Automation/039-7_deep_diving_into_cursor.mkv
103M	006-Lesson_5_Development_And_Workflow_Automation/040-8_using_windsurf_and_cascade.mkv
419M	006-Lesson_5_Development_And_Workflow_Automation/041-9_understanding_agent_skills_rules_memories_and_workflow_files.mkv
235M	006-Lesson_5_Development_And_Workflow_Automation/042-10_exploring_openais_codex.mkv
177M	006-Lesson_5_Development_And_Workflow_Automation/043-11_using_claude_code.mkv
302M	006-Lesson_5_Development_And_Workflow_Automation/044-12_using_ai_for_secure_code_review.mkv
214M	006-Lesson_5_Development_And_Workflow_Automation/045-13_using_additional_tools_like_antigravity_opencode_and_warp.mkv
862M	007-Lesson_6_Agentic_AI
33M	007-Lesson_6_Agentic_AI/046-learning_objectives.mkv
62M	007-Lesson_6_Agentic_AI/047-1_introduction_to_agentic_ai.mkv
69M	007-Lesson_6_Agentic_AI/048-2_agentic_ai_vs__generative_ai.mkv
51M	007-Lesson_6_Agentic_AI/049-3_agentic_ai_design_principles.mkv
140M	007-Lesson_6_Agentic_AI/050-4_model_context_protocol_mcp.mkv
58M	007-Lesson_6_Agentic_AI/051-5_introducing_webmcp.mkv
63M	007-Lesson_6_Agentic_AI/052-6_human_in_the_loop_hitl_and_human_on_the_loop_hotl_strategies.mkv
74M	007-Lesson_6_Agentic_AI/053-7_data_transformation_in_ai_agents.mkv
316M	007-Lesson_6_Agentic_AI/054-8_agent_skills_and_harnesses.mkv
282M	008-Summary
282M	008-Summary/055-cisco_ai_technical_practitioner_810_110_aitech_summary.mkv
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
6.8G	total