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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. Module 2: AI in Business: Applications and Case Studies
    Lesson 2.1: Overview of AI Applications in Various Industries
  9. Lesson 2.2: Detailed Case Studies
  10. Lesson 2.3: Why AI Initiatives Fail: Patterns, Pitfalls, and Warning Signals
  11. Video: How AI is Powering Business: Real-World Case Studies You Need to Know!
  12. Case Study: OptiStaff Analytics: When AI Optimisation Undermined Organisational Reality
  13. Module 3: Strategic Planning for AI
    Video: AI Transformation: Why Alignment Beats Ambition
  14. Lesson 3.1: Assessing Organizational Readiness for AI Implementation
  15. Lesson 3.2: Developing an AI Strategy Aligned with Business Goals
  16. Lesson 3.3: Roadmaps for AI Integration
  17. Video: AI Strategy Roadmap: Aligning AI with Business Goals
  18. Module 4: Data Management and Analytics
    Lesson 4.1: Importance of Data in AI Application
  19. Lesson 4.2: Techniques for Collecting, Cleaning, and Managing Data
  20. Lesson 4.3: Tools and Platforms for Data Analytics
  21. Video: How to Turn AI Into Your Business Superpower
  22. Module 5: AI Technologies and Tools
    Lesson 5.1: Overview of Current AI Technologies
  23. Lesson 5.2: How to Apply AI Tools in Business Scenarios
  24. Video: How AI is Revolutionizing Every Industry (Right Now!)
  25. Module 6: Ethical Considerations and AI Governance
    Lesson 6.1: Understanding the Ethical Implications of AI
  26. Lesson 6.2: Regulatory Considerations for AI
  27. Lesson 6.3: Developing a Governance Framework for Responsible AI Use
  28. Video: Why Ethical AI is the Smartest Business Move
  29. Module 7: Measuring AI Impact and ROI
    Lesson 7.1: Metrics and KPIs for Evaluating AI Initiatives
  30. Lesson 7.2: Case Studies on Measuring the Financial Impact of AI
  31. Lesson 7.3: Tools for Ongoing Monitoring and Evaluation
  32. Video: Unlocking AI ROI: How to Measure Real Business Impact
  33. Module 8: Future Trends and Innovations in AI
    Lesson 8.1: Emerging Trends in Artificial Intelligence
  34. Lesson 8.2: Potential Future Applications of AI in Business
  35. Lesson 8.3: Preparing for Continuous Innovation and Learning
  36. Module 9: Generative AI Systems, Multi-Agent Workflows, and Enterprise Automation
    Lesson 9.1: Designing Enterprise-Grade Generative AI Systems
  37. Lesson 9.2: Multi-Agent AI Systems for Business Operations
  38. Lesson 9.3: Automating Enterprise Processes Using AI Co-Pilots
  39. Template: Multi-Agent AI System Blueprint Template
  40. Case Study: AutoFleet Logistics: A Multi-Agent AI Operations Transformation
  41. Module 10: AI Security, Risk, and Resilience for Digital-First Organisations
    Lesson 10.1: AI Security and Adversarial Risk Management
  42. Lesson 10.2: Building AI Resilience and Business Continuity Plans
  43. Lesson 10.3: Navigating Global AI Regulations and Cross-Border Compliance
  44. Template: AI Risk Control Matrix (ARC-Matrix)
  45. Case Study: FinSure Bank,Managing AI Risk During Core System Modernisation
  46. Bonus Module: AI Strategy Toolkit and Implementation Templates
    Building an AI Strategy Canvas
  47. Conducting an AI Readiness Assessment
  48. Designing an AI Integration Roadmap
  49. Structuring a Responsible AI Governance Framework
  50. Managing AI Communication and Change
  51. Using an AI Risk and Impact Register
  52. Customising and Deploying the Toolkit in Real Business Cases
  53. Bonus MODULE: Industry Practical PlayBooks
    Track 1: AI in Healthcare Operations
  54. Track 2: AI in Retail and Consumer Analytics
  55. Track 3: AI in Public Sector and Smart Governance
  56. Track 4: AI in Financial Services and Compliance
  57. Track 5: AI in Education and EdTech Strategy
  58. Track 6: AI in Manufacturing and Industry 4.0
  59. Track 7: AI in Human Resources and Workforce Analytics
  60. Track 8: AI in Marketing and Customer Experience (CX)
  61. Track 9: AI in Energy, Utilities and Sustainability
  62. Track 10: AI in Logistics, Transport and Supply Chain
  63. Track 11: AI in LegalTech and Risk Management
  64. Future Forward Specialised Certifications

Quizzes

Certified AI Business Strategist (CAIBS) Course Objectives
Lesson 2 of 64
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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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