Artificial Intelligence

Artificial Intelligence in Business Certification

• Traditional Classroom: 3-day
• Virtual Instructor-led: Three 4-hour sessions

Artificial intelligence (AI) and machine learning (ML) are transforming industries, tackling challenges like detecting fraud and diagnosing diseases. Three key advancements drive the business landscape: abundant data, powerful computing, and sophisticated algorithms. Organizations adopting AI can gain a competitive advantage, yet a growing skills gap hinders their potential.

The Artificial Intelligence in Business program equips professionals with the knowledge needed to align AI initiatives with organizational goals. Over five weeks you’ll explore foundational AI concepts and analyze industry-specific case studies guided by an expert facilitator. You’ ll be prepared to craft an AI implementation roadmap and lead organizational change by the program’s conclusion.

CEG Article

Artificial Intelligence is Turning Project Management on Its Head!

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Target Audience

Individuals who will benefit from this course include:

• CIOs/CEOs/GMs/CFOs: Learn to integrate AI into business strategies and prioritize investments.
• Business Leaders and Strategists: Discover how AI solves critical challenges and creates value.
• Digital Transformation Specialists: Enhance your expertise in AI implementation.
• Consultants: Gain insights to provide AI integration services across industries.
• Data Scientists: Align technical skills with strategic business objectives.

Learning Objectives

• Make AI-enhanced decisions: Select algorithms to address specific business challenges.
• Gain cross-industry insights: Explore case studies highlighting AI’s problem-solving capabilities.
• Upgrade practical skills: Lead AI transformations within your organizations.
• Plan for AI’s future: Develop and implement AI strategies focusing on change management.

Certification

The AiE^® Certification is aimed at those who practice and use AI regularly. Certification is provided by the Artificial Intelligence Board of America (ARTiBA) through an e-proctored exam. Preparation includes:

• Study guides and 600+ sample questions
• Personalized support from an AiE^® coach
• A two-week intensive preparation phase leading to the week 10 exam.

An AiE certification distinguishes you from other candidates, making you more attractive to employers in the AI and technology sectors. This course is not just about accreditation; we aim to provide the skills and knowledge to embrace the transformative world with AI at its center.

Course Outline

Module 1: The Business Case for AI

• Understand AI’s role in business
• Define AI and its related concepts
• Assess AI’s suitability for solving business problems
• Explore the applications of Big Data in business

Module 2: AI Strategy to Manage Change

• The value that AI could bring to an organization — think data
• Develop an AI strategy
• Bringing the organization and people on the AI journey
• Build an AI roadmap to Implement your strategy

Module 3: AI Regulation, Governance, and Ethics

• EU AI Act and regulatory considerations
• AI Risks and Ethical considerations
• Data selection’s role in shaping AI outcomes
• The consequences of AI solutions

Module 4: AI Algorithms — Learning and Problem-Solving

• Learn ML fundamentals and their business applications
• Explore supervised and unsupervised learning
• Understand deep learning and natural language processing
• Choose the correct algorithm for specific scenarios
• AI Applications based on machine learning

Module 5: Essentials of Neural

• Networking and deep learning
• Neural network models
• Examples of reinforcement learning that impact us today
• AI application and use using neural networking

Module 6: AI-Driven Use Cases in Industries

• Analyze AI maturity across industries
• AI challenges that impact on businesses and people
• Evaluate your AI strategies for informed decision-making

Module 7: Using AI

• AI applications in use
• Taking a leadership role with AI
• Bringing it all together for tomorrow

MDV800 Course Code