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

Quizzes

Certified AI Business Strategist (CAIBS) Course Objectives
Lesson 2 of 60
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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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