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Certified AI Business Strategist (CAIBS)

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  1. Video: Course Introduction
  2. Course Objectives

  3. Module 1: Introduction to Artificial Intelligence

    Lesson 1.1: Understanding AI: Definitions and Concepts
  4. Lesson 1.2: History and Evolution of AI
  5. Lesson 1.3: Key Technologies in AI
  6. Lesson 1.4: AI in 2026: From Models to Systems
  7. AI Literacy Self-Assessment Tool
  8. Video: The Digital Paradox: Why Kodak Killed Its Greatest Invention
  9. Module 2: AI in Business: Applications and Case Studies
    Lesson 2.1: Overview of AI Applications in Various Industries
  10. Lesson 2.2: Detailed Case Studies
  11. Lesson 2.3: Why AI Initiatives Fail: Patterns, Pitfalls, and Warning Signals
  12. Video: How AI is Powering Business: Real-World Case Studies You Need to Know!
  13. Case Study: OptiStaff Analytics: When AI Optimisation Undermined Organisational Reality
  14. Module 3: Strategic Planning for AI
    Video: AI Transformation: Why Alignment Beats Ambition
  15. Lesson 3.1: Assessing Organizational Readiness for AI Implementation
  16. Lesson 3.2: Developing an AI Strategy Aligned with Business Goals
  17. Lesson 3.3: Roadmaps for AI Integration
  18. Video: AI Strategy Roadmap: Aligning AI with Business Goals
  19. Module 4: Data Management and Analytics
    Lesson 4.1: Importance of Data in AI Application
  20. Lesson 4.2: Techniques for Collecting, Cleaning, and Managing Data
  21. Lesson 4.3: Tools and Platforms for Data Analytics
  22. Video: How to Turn AI Into Your Business Superpower
  23. Module 5: AI Technologies and Tools
    Lesson 5.1: Overview of Current AI Technologies
  24. Lesson 5.2: How to Apply AI Tools in Business Scenarios
  25. Video: How AI is Revolutionizing Every Industry (Right Now!)
  26. Module 6: Ethical Considerations and AI Governance
    Lesson 6.1: Understanding the Ethical Implications of AI
  27. Lesson 6.2: Regulatory Considerations for AI
  28. Lesson 6.3: Developing a Governance Framework for Responsible AI Use
  29. Video: Why Ethical AI is the Smartest Business Move
  30. Module 7: Measuring AI Impact and ROI
    Lesson 7.1: Metrics and KPIs for Evaluating AI Initiatives
  31. Lesson 7.2: Case Studies on Measuring the Financial Impact of AI
  32. Lesson 7.3: Tools for Ongoing Monitoring and Evaluation
  33. Video: Unlocking AI ROI: How to Measure Real Business Impact
  34. Module 8: Future Trends and Innovations in AI
    Lesson 8.1: Emerging Trends in Artificial Intelligence
  35. Lesson 8.2: Potential Future Applications of AI in Business
  36. Lesson 8.3: Preparing for Continuous Innovation and Learning
  37. Video: The Nokia Collapse: Why the King of Phones Failed to Adapt
  38. Video: The $2 Billion Cannonball: Why Target Canada Failed in 2 Years
  39. Module 9: Generative AI Systems, Multi-Agent Workflows, and Enterprise Automation
    Lesson 9.1: Designing Enterprise-Grade Generative AI Systems
  40. Lesson 9.2: Multi-Agent AI Systems for Business Operations
  41. Lesson 9.3: Automating Enterprise Processes Using AI Co-Pilots
  42. Template: Multi-Agent AI System Blueprint Template
  43. Case Study: AutoFleet Logistics: A Multi-Agent AI Operations Transformation
  44. Video: The $100M AI Disaster: Why Algorithms Can't Save a Bad Strategy
  45. Module 10: AI Security, Risk, and Resilience for Digital-First Organisations
    Lesson 10.1: AI Security and Adversarial Risk Management
  46. Lesson 10.2: Building AI Resilience and Business Continuity Plans
  47. Lesson 10.3: Navigating Global AI Regulations and Cross-Border Compliance
  48. Template: AI Risk Control Matrix (ARC-Matrix)
  49. Case Study: FinSure Bank,Managing AI Risk During Core System Modernisation
  50. Video: IBM’s $4B AI Disaster: Why Watson Health Failed
  51. Video: The $Billion Price War: Why Temu is Unstoppable
  52. Bonus Module: AI Strategy Toolkit and Implementation Templates
    Building an AI Strategy Canvas
  53. Conducting an AI Readiness Assessment
  54. Designing an AI Integration Roadmap
  55. Structuring a Responsible AI Governance Framework
  56. Managing AI Communication and Change
  57. Using an AI Risk and Impact Register
  58. Customising and Deploying the Toolkit in Real Business Cases
  59. AI Use Case Identification Canvas
  60. AI Investment Decision Canvas
  61. AI Use Case Business Case Template
  62. AI ROI & Business Impact Calculator
  63. Data Readiness & Maturity Scorecard
  64. AI Capability Maturity Model Template
  65. AI Operating Model Design Template
  66. AI Vendor & Tool Selection Matrix
  67. AI Opportunity Prioritisation Matrix
  68. AI Scenario Planning Framework
  69. Bonus MODULE: Industry Practical PlayBooks
    Track 1: AI in Healthcare Operations
  70. Track 2: AI in Retail and Consumer Analytics
  71. Track 3: AI in Public Sector and Smart Governance
  72. Track 4: AI in Financial Services and Compliance
  73. Track 5: AI in Education and EdTech Strategy
  74. Track 6: AI in Manufacturing and Industry 4.0
  75. Track 7: AI in Human Resources and Workforce Analytics
  76. Track 8: AI in Marketing and Customer Experience (CX)
  77. Track 9: AI in Energy, Utilities and Sustainability
  78. Track 10: AI in Logistics, Transport and Supply Chain
  79. Track 11: AI in LegalTech and Risk Management
  80. Future Forward Specialised Certifications

Quizzes

Certified AI Business Strategist (CAIBS) Course Objectives
Lesson 2 of 80
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Course Objectives

June 26, 2024
  • Gain a comprehensive understanding of key AI technologies, including machine learning, natural language processing, and neural networks, and their applications in business.
  • Learn how to assess organizational readiness for AI, formulate a strategic AI implementation plan, and align AI initiatives with broader business objectives.
  • Acquire skills in data collection, cleaning, and analysis that are critical for powering AI solutions within a business context.
  • Explore the ethical implications of AI and develop strategies to address regulatory requirements and ethical concerns in AI deployments.
  • Learn how to establish metrics and KPIs to evaluate the effectiveness of AI projects and their impact on business performance and innovation.
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