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Cisco AI Business Practitioner (AIBIZ)

The Cisco AI Business Practitioner (AIBIZ) Learning Path helps you bridge the AI literacy gap. You’ll learn how to adopt AI strategically and responsibly while gaining practical, hands-on skills to use Generative AI for productivity, content creation, analysis, and leadership. You’ll start with foundational concepts and hands-on tool practice, then advance through prompt engineering, strategic evaluation, and real-world applications across marketing, customer support, and data analysis. The journey culminates in leadership training—equipping you to design implementation roadmaps, manage change, and build compelling business cases for AI adoption. This Learning Path is ideal for business professionals, managers, and leaders ready to harness Generative AI’s potential while developing critical thinking skills for responsible, strategic integration.

Ways to get this training

Cisco U. Learning Path

Follow a guided Learning Path designed for your certification success. Pre- and post-assessments help you skip what you know and focus on what you need to learn.

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    How you’ll benefit

    • Understand key Generative AI tools, including Large Language Models (LLMs), Diffusion Models, and tools for audio/code generation, along with their capabilities and limitations
    • Select, evaluate, and utilize prominent AI platforms, chatbots, image generators, and research tools, considering performance, security, compliance, and economic factors
    • Craft clear, contextual, and persona-based prompts, employ iterative refinement, and utilize advanced techniques for complex tasks to guide AI towards specific business goals
    • Create and refine professional textual content (emails, reports), visual content (graphics, marketing images), and audio content (voiceovers) using AI tools
    • Identify and mitigate algorithmic bias, understand data privacy regulations, protect sensitive information, and establish responsible AI use policies within teams
    • Detect hallucinations, factual errors, and biases in AI-generated outputs, and apply strategies for correction, refinement, and when to regenerate content
    • Utilize AI for exploratory data analysis, generate visualizations, identify patterns, formulate hypotheses, synthesize information, and structure research content
    • Grasp core API concepts, their role in AI systems, security principles (authentication, key management), and cost management for integrating AI functionalities
    • SummaDevelop personal AI integration roadmaps, identify high-value AI use cases, manage change, design pilot projects, establish best practices, and champion AI innovation within their organizations

    Technology areas

    • Artificial Intelligence (AI)