This course is typically designed to help business executives, managers, and decision-makers understand how to leverage AI in their organizations. It provides both theoretical and practical knowledge, equipping leaders to drive AI adoption, implement AI strategies, and foster innovation within their teams. The course explores planning, strategizing, and scaling AI projects in a responsible way.

Course Overview

This course is designed to equip business leaders with the knowledge and tools they need to harness the transformative power of Artificial Intelligence (AI) in their organizations.

By exploring AI's impact on business strategies, operations, and customer experiences, this course prepares executives to lead AI adoption, drive innovation, and create value through smart, data-driven decision-making.

Business leaders will have a comprehensive understanding of how to leverage AI to enhance business operations, make smarter decisions, and lead successful AI-driven transformations within their organizations.

Learning Outcomes

Upon completing this course, participants will be able to:

Understand Core AI Concepts:
- Grasp the fundamental principles of Artificial Intelligence (AI), Machine Learning (ML), and data analytics.
- Recognize the business value of AI and its applications across industries.
Develop an AI Strategy for Business:
- Align AI initiatives with organizational goals and strategic priorities.
- Create a practical AI roadmap to implement and scale AI solutions in the business.
Leverage Microsoft AI Tools:
- Effectively utilize Microsoft’s AI solutions, including Azure Cognitive Services, Azure Machine Learning, and Power Platform, to enhance business processes.
- Implement AI-powered tools like Dynamics 365 and Microsoft 365 to drive efficiency and improve customer experiences.
Make Data-Driven Decisions:
- Use AI for data analysis and to make informed, evidence-based business decisions.
- Understand the potential of predictive analytics, automation, and AI-driven insights in improving operational efficiency and customer engagement.
Foster AI-Driven Innovation:
- Identify opportunities to use AI for product development, process automation, and service innovation.
- Drive AI-based transformations in various business functions, from marketing to supply chain management.
Navigate Ethical Considerations in AI:
- Understand Microsoft’s Responsible AI principles and best practices for deploying AI in a fair and transparent manner.
- Ensure AI applications are ethical, unbiased, and respect privacy and regulatory standards.
Lead AI Adoption and Transformation:
- Overcome organizational barriers to AI adoption and encourage AI literacy within teams.
- Cultivate a culture that embraces AI and digital innovation, helping the organization stay competitive in an AI-driven world.
Build AI-Ready Teams:
- Upskill employees and teams to work effectively with AI tools and technologies.
- Guide employees through the transition towards a more AI-centric, data-driven business environment.

By the end of the course, business leaders will be well-equipped to lead AI initiatives, make strategic decisions based on AI insights, and effectively drive innovation and digital transformation in their organizations.

Audience Profile

C-suite Executives
Senior Managers and Directors
IT Leaders
Aspiring AI professionals
Entrepreneurs for Small & Medium Business
Business Professionals

Prerequisites

None

Course Objectives

Leverage AI tools and resources for your business
Create business value from AI
Embrace responsible AI principles and practices
Scale AI in your organization
Define a Microsoft AI strategy to create business value in Healthcare
Define a Microsoft AI strategy to create business value in Manufacturing
Define a Microsoft AI strategy to create business value in Finance
Define a Microsoft AI strategy to create business value in Retail
Define a Microsoft AI strategy to create business value in Sustainability

Format

Blended (Online Training + Discussions)

Streaming Platform

Microsoft Teams Online

Course Schedule

On Demand

Trainer

Kappagantula Srikanth

Duration

8 Hours

Course Fee

$800

Course Outline

Leverage AI tools and resources for your business

Introduction
What is AI?
oundations of AI
Learn the Microsoft AI approach
Use AI embedded in everyday copilot applications
Use Microsoft Power Platform to bring AI to your business
Develop AI solutions with Azure AI Services
Create custom AI models with Azure Machine Learning

Create business value from AI

Introduction
Create business value with an AI strategy
Discover the characteristics that foster an AI-ready culture
Discover the path to AI success

Embrace responsible AI principles and practices

Introduction
Prepare for the implications of responsible AI
Identify guiding principles for responsible AI
Design a system for AI governance
Applying systems for AI governance
Responsible AI at Microsoft
Put responsible AI frameworks in action

Scale AI in your Organization

Introduction
Evaluate and prioritize AI investments
Apply a horizon-based framework
Establish AI-related roles and responsibilities
Empower business users with AI
Empower subject matter experts with AI

Define a Microsoft AI strategy to create business value in finance

Introduction
AI in financial services
Goals and challenges in financial services
Opportunities for AI in financial services organizations
Discover how Microsoft AI secures transactions in banking – A Swift success story
Discover the potential of Microsoft AI Services in insurance – A Manulife success story

Define a Microsoft AI strategy to create business value in retail

Introduction
AI in retail
Goals and challenges in retail
Opportunities for AI in retail
Discover how Microsoft AI improves shopping experiences
Discover the potential of Azure OpenAI Service in car selling – A CarMax success story

Define a Microsoft AI stratgy to create business value in manufacturing

Introduction
AI and manufacturing
Goals and challenges in manufacturing
Opportunities for AI in manufacturing
Microsoft AI technology for manufacturing use cases
Discover how Azure AI Services cuts development time – A Siemens success story

Define a Microsoft AI strategy to create business value in healthcare

Introduction
AI in life sciences, pharmacology, and healthcare
Goals and challenges in life sciences, pharmacology, and healthcare
Opportunities for AI in life sciences, pharmacology, and healthcare
Microsoft AI for health providers
Discover the potential of Microsoft AI to improve patient recovery

Define a Microsoft AI strategy to create business value in sustainability

Introduction
AI and sustainability
Goals and challenges in sustainability
Opportunities for AI in sustainability
Discover how Microsoft AI powers the global energy transition – An EDP success story
Discover how Microsoft AI protects natural resources – A Department of Natural Resources success story
Discover how Microsoft AI enables green mobility – A Stadtwerke München success story