Opleiding: Cisco AI Business Practitioner [AIBIZ-CPLL]

OVERVIEW

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.

This course is just over 16 hours in duration and is worth 8 Continuing Education Credits.

OBJECTIVES

After completing this course you should be able to:

• 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
• Develop 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

CONTENT

Core Generative AI Skills

• Generative AI Essentials
• AI Power User Toolkit
• Prompt Engineering Basics
• Content Generation
• Introduction to AI Ethics and Security
• Post-Assessment

Optimizing Generative AI

• Evaluating AI-Generated Results and Biases
• Advanced Prompt Engineering
• Data Analysis
• AI for Research and Brainstorming
• Understanding AI APIs
• Post-Assessment

AI Power user launchpad

• Activating Your AI Leadership Potential
• AI Adoption: From Proposal to Pilot
• Post-Assessment