Cisco AI Technical Practitioner 810-110 AITECH (Video Course)

Description

Cisco AI Technical Practitioner 810-110 (AITECH) Video Course

Learn how to apply today's 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, you'll develop the knowledge and technical skills needed to confidently deploy and use AI technologies across modern organizations.

Whether you're preparing for the Cisco certification exam or looking to build practical AI skills for today's technology workforce, this course provides a comprehensive learning experience focused on real-world implementation and best practices.

Learn How To

• Understand today's 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.

Sample Content

Table of Contents

Lesson 1: Understanding Generative AI Models

Lesson 2: Prompt Engineering Fundamentals

Lesson 3: Responsible AI, Ethics, and Security

Lesson 4: AI for Data Research and Analysis

Lesson 5: AI for Software Development and Workflow Automation

Lesson 6: Building Agentic AI Systems

Lesson 7: Final Exam Preparation and Next Steps

Updates

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