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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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.. - - _//- ___\____---' [ 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
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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
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lernstuf proton me
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