Pearson – Cisco AI Technical Practitioner 810-110 AITECH 2026 BOOKWARE-LERNSTUF | Apps-Tutorials | MKV | 6.75 GiB
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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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.. - - ___- _/ \____--[ R E L E A S E N O T E S ] _-- -\\_ ___--'-__ ..
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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CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW
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.. - - ___- _/ \____--' \ [ 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:
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
File: 001-cisco_ai_technical_practitioner_810_110_aitech_introduction.mkv Size: 236930040 bytes (225.95 MiB), duration: 00:07:18, avg.bitrate: 4327 kb/s Audio: aac, 48000 Hz, stereo (eng) Video: h264, yuv420p, 1280x720, 30.00 fps(r) (eng) Subtitles: eng ger jpn spa fre ita
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