Course Overview
In this learning path, business leaders will find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and scaling AI projects in a responsible way.
Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
Who should attend
Anyone who is interested in knowing how Microsoft artificial intelligence can help their business
Prerequisites
- Basic understanding of IT concepts.
- Basic understanding of business concepts.
Course Objectives
At the end of this course, you should be able to :
- Know how Microsoft is embedding AI into tools, products, and services that can be used by organizations
- Plan your AI strategy and adopt an AI-ready culture,
- Adopt responsible AI practices
- Understand AI strategy, assign responsibilities, and empower business users and subject matter experts so they can use AI themselves.
Course Content
MODULE 1 — LEVERAGE AI TOOLS AND RESOURCES FOR YOUR BUSINESS
- Identify basic AI technology concepts.
- Learn the Microsoft AI approach.
- Use AI embedded in everyday applications.
- Discover how Microsoft Power Platform brings AI to your business.
- Understand the machine learning lifecycle.
- Discover the business value of applying DevOps practices to machine learning.
- Explore the potential of Azure AI Services.
- Discover the business value of Azure Open AI Service.
MODULE 2 — CREATE BUSINESS VALUE FROM AI.
- Define an AI strategy to create business value.
- Discover the characteristics that foster an AI-ready culture.
- Discover how to apply the AI Maturity Model Assessment to your business culture.
MODULE 3 — EMBRACE RESPONSIBLE AI PRINCIPLES AND PRACTICES
- Prepare for the implications of responsible AI.
- Identify guiding principles for responsible AI.
- Design a system for AI governance.
- Applying systems for AI governance.
- Discuss practices for responsible AI at Microsoft.
- Put responsible AI frameworks in action.
MODULE 4 — SCALE AI IN YOUR ORGANIZATION
- Evaluate and prioritize AI investments.
- Establish AI-related roles and responsibilities.
- Empower business users with AI.
- Empower subject matter experts with AI.
These are scenario-based labs with no actual environment to work on. The labs are based on discussions, scenarios, and brainstorming.
LAB 1 — EXPLORING MICROSOFT AI SOLUTIONS FOR ORGANIZATIONS.
- Introduction to Microsoft AI Ecosystem.
- AI as Copilot.
- Microsoft Power Platform.
- Azure AI Services.
- Azure Machine Learning.
- MLOps Practices.
LAB 2 — PREPARING YOUR ORGANIZATION TO FOSTER AN AI-READY CULTURE.
- Evaluate your company's AI maturity model.
- Uncover the attributes necessary for a data-driven organization.
- Fostering a more inclusive and responsible organization.
- Employing a holistic framework for AI strategy.
LAB 3 — EMBRACING RESPONSIBLE AI IN YOUR ORGANIZATION.
- Cultivating a Responsible AI Culture.
- Establishing an Ethical Culture.
- Emphasizing the Significance of Responsible AI Principles
LAB 4 — SCALING AI TECHNOLOGIES IN YOUR ORGANIZATION.
- Identifying and Prioritizing AI solutions.
- Establishing AI Roles and Responsibilities.
- Measuring AI Impact and Performance.
Moyens Pédagogiques :