AB-730: AI Business Professional

AB-730: AI Business Professional

Offered by Linux Training

The AB-730: AI Business Professional course at Linux Training is designed for business professionals, students, and aspiring leaders who want to understand how Artificial Intelligence can be applied to improve business processes and decision-making.

This course focuses on bridging the gap between AI technology and business strategy, helping learners identify opportunities, implement AI solutions, and drive innovation within organizations.


Course Overview

This program provides a practical understanding of AI in business environments, enabling learners to use AI tools and concepts to enhance productivity, optimize operations, and create data-driven strategies.


What You Will Learn

  • Fundamentals of Artificial Intelligence for Business
  • AI Use Cases Across Industries
  • Data-Driven Decision Making
  • Introduction to Generative AI Tools
  • AI Strategy and Implementation
  • Automation and Process Optimization
  • Responsible AI and Ethics

Why Choose This Course?

  • Designed for non-technical and business users
  • High-demand AI awareness skill
  • Focus on real-world business applications
  • No coding required
  • Guidance from experienced trainers

Career Opportunities

After completing this course, you can explore roles such as:

  • AI Business Analyst
  • Business Strategy Consultant (AI-focused)
  • AI Product Coordinator
  • Operations Analyst
  • Digital Transformation Specialist

Who Can Join?

  • Business professionals and managers
  • Students from any stream
  • Entrepreneurs and startup founders
  • Non-technical individuals interested in AI

Leverage AI for Business Growth

Join Linux Training and learn how to apply AI concepts to drive smarter decisions and business innovation.

AB-730: AI Business Professional

Modules

1. Understand generative AI fundamentals (25–30%)

Understand generative AI capabilities across Microsoft 365 experiences

  • Understand how Copilot works to keep your organization’s information private and secure
  • Understand how the context, like your work files, web data, or the app you’re using, can affect Copilot responses
  • Understand the difference between a chat experience and an agent experience
  • Understand the use case for creating your own agent
  • Understand the differences in features and capabilities of the Copilot experience in various Microsoft 365 apps
  • Identify responsible AI and data protection practices

  • Identify common risks, including fabrications, prompt injection, and over-reliance
  • Select verification steps appropriate to the task, including citation checks and human review
  • Recognize and mitigate risks to sensitive data
  • Understand how data protection restricts prompt results
  • 2. Manage prompts and conversations by using AI (35–40%)

    Create and manage prompts in Microsoft 365 Copilot

  • Understand how to create an effective prompt
  • Select appropriate resources to reference in a prompt
  • Save a prompt
  • Schedule a prompt
  • Share a prompt
  • Manage conversations in Copilot

  • Understand how to find previous conversations
  • Delete a chat
  • Rename a chat
  • Add a conversation to a notebook
  • Create and manage Microsoft 365 Copilot agents

  • Understand when to use Agent Store versus creating a new agent
  • Create an agent by using a template
  • Configure an agent that has knowledge
  • Configure agent settings such as instructions, capabilities and suggested prompts
  • Share an agent with team members
  • 3. Draft and analyze business content by using AI (25–30%)

    Draft business documents and communications

  • Create a new document from a prompt
  • Generate a document from an existing document
  • Generate a management summary based on a document
  • Move data and insights between Microsoft 365 apps
  • Manage meetings and collaboration

  • Describe how to use Copilot for meetings
  • Describe how to use Copilot Pages for collaboration
  • Describe how Copilot uses memory and instructions