Artificial Intelligence for
the Business Professional
Overview
Course Objective
Upon successful completion of this course, business professionals will demonstrate an understanding of:
• what Artificial Intelligence (AI) is
• how it relates to and can benefit business functions
• identify potential risks
• demonstrate an understanding of the challenges and milestones of implementing AI and
becoming an AI-driven organization.
Who Should Attend
This course is primarily designed for business leaders, consultants, product and project managers, and
other decision makers who are interested in growing the business by leveraging the power of AI. Other
individuals who wish to explore basic AI concepts are also suitable for this course.
Prerequisites
It’s highly recommended that the attendees of this course know the basics of Android application
development knowledge. To acquire good knowledge of Android application development, trainees may
attend the “Android Application Development” course provided by Android ATC.
Training Calendar
Intake
Duration
Program Fees
Module
Module 1 - Define AI Concepts
Artificial Intelligence
• General AI
• Narrow AI
Machine Learning
• Supervised
• Unsupervised
• Reinforcement learning
Deep Learning
• Robotics
• Natural Language
• Computer Vision
Module 2 - Acknowledge The History of AI
Timeline
Contributors
• Turing
• IBM Deep Blue
• DeepMind
Enabling Technologies
• Cloud
• Big data
• Graphics Processing Units (GPU)
Module 3 - Segment Audiences
• Target campaigns
• Predictive systems
Module 4 - Securing Storage
- Data Storage Decisions
- Storage Mechanisms
- File Operations on an External Storage
- Cache
- Database
Module 5 - Secure Assets
• Threat analysis
• Cloud security
• IT Asset Management
• Identify fraud
• Notifications
• Risk detection
Module 6 - Optimize Process
• Industrial robots
• Autonomous vehicles
• Robotic Process Automation (RPA)
• Predictive analytics
• Cloud virtualization
• AI-enabled Supplier Relationship Management (SRM)
• Route optimization
Module 7 - Develop an AI Strategy
Align AI to organizational initiatives
• Digital transformation
• Data strategy
• Business strategy
Align with Environmental, Social, and Governance (ESG) initiatives
• Diversity, equity, and inclusion
• Sustainability
• Data protection
Organizational Resources
• Talent resources
• Data resources
• Computing resources
• Budget resources
• Stakeholders
Competitive considerations
Module 8 - Identify Data and Design Requirements
• Quantify value proposition
• Identifying use cases
• Review data quality
• Review prototype design assessment
Module 9 - Identify Organizational Considerations
• Employee impact
• Organizational readiness (change management)
Module 10 - Identify Data Risks
• Data quality
• Data security
• Data control
Module 11 - Identify Governance
Ethical considerations
• Privacy
• Accountability
• Transparency
• Bias
Legal/regulatory considerations
• EU AI Act
• U.S. AI Bill of Rights
• DoD AI Principles
FAQs
General Questions:
Q: What is this course about?
A: This course provides business professionals with foundational knowledge of Artificial Intelligence (AI) and its applications in business. It covers AI concepts, machine learning, deep learning, AI-driven business functions, risk management, and strategies for implementing AI within an organization.
Q: Who is this course for?
A: This course is designed for business leaders, consultants, product and project managers, and other decision-makers who want to leverage AI for business growth. It is also suitable for individuals interested in understanding AI fundamentals and its impact on business.
Q: What are the prerequisites for this course?
A: No prior technical knowledge is required. The course is designed for business professionals and focuses on AI concepts, applications, and strategies rather than technical development.
Q: How is the course structured?
A: The course is divided into key modules:
AI Fundamentals: Understanding AI, machine learning, deep learning, and enabling technologies.
AI in Business: Exploring AI applications such as chatbots, predictive analytics, security, automation, and process optimization.
AI Strategy & Implementation: Aligning AI with business goals, ESG initiatives, data strategy, and resource management.
AI Risks & Governance: Addressing data security, ethical considerations, legal frameworks, and AI-driven organizational change.
Q: How long is the course?
A: The course duration is 1 day.
Q: Will I receive a certificate upon completion?
A: Yes, participants will receive a certification upon successfully completing the course.
Program Content & Skills:
Q: What specific topics are covered in the course?
A: The course covers AI fundamentals, including general AI, narrow AI, machine learning (supervised, unsupervised, reinforcement learning), deep learning, and robotics. It also explores AI applications in business, such as chatbots, sentiment analysis, predictive analytics, security, process automation, and AI-driven decision-making. Additionally, it addresses AI strategy, implementation, governance, ethical considerations, and regulatory frameworks.
Q: Will I learn about advanced AI technologies?
A: The course provides a foundational and practical understanding of AI in business but does not focus on in-depth technical development or programming. It introduces deep learning, computer vision, and NLP at a conceptual level, making it ideal for business professionals looking to leverage AI rather than develop AI models from scratch.
Q: Will I learn how to integrate AI into business operations?
A: Yes, the course covers how AI can be integrated into various business functions, including customer experience, marketing, security, supply chain management, and automation. It also provides guidance on aligning AI initiatives with business strategy, data management, and regulatory compliance.
Q: Will I work on real-world examples and exercises?
A: Yes, the course includes case studies, discussions, and practical examples of AI applications in different industries. Participants will analyze AI-driven business strategies, assess risks, and explore real-world AI implementations to understand best practices.
Submit your interest today !
