How long is the Predictive Analytics with AI course?

The course runs approximately 27 hours across 8 modules and 16 lessons, completed online at your own pace.

How much does Predictive Analytics with AI cost?

The training fee is KES 20,000, with M-Pesa, card and Paystack payment options and lifetime access.

Is Predictive Analytics with AI certified?

Yes. On passing the final assessment you receive a GLI-branded certificate with QR verification. CCS is NITA-accredited.

Predictive Analytics with AI | CCS Online Learning

Name: Predictive Analytics with AI
Price: 20000 KES

Master predictive analytics with ai through a hands-on, application-focused programme designed for working professionals across Kenya and the wider region.

What You Will Learn

✓Build the core principles and frameworks of predictive analytics with ai
✓Analyse practical tools to real workplace challenges
✓Create and improve current practices in their organisation
✓Develop and implement effective approaches with measurable outcomes
✓Develop artificial intelligence practice with organisational strategy
✓Analyse risk, compliance and governance considerations

Modules

Lessons

27 hours

Duration

🎍 Certificate & NITA Accreditation

On passing the final exam (50 MCQs, 70% pass mark, unlimited retakes) you receive a GLI-branded PDF certificate with QR verification. CCS is NITA-accredited — eligible employers can claim NITA levy reimbursement for this course.

Course Curriculum

8 modules · 16 lessons · Interactive quizzes · Study notes · Practical exercises · Final exam

Module 1: Foundations and Key Concepts

2 lessons · 83 min · 4 hours

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Understanding the Fundamentals

40 min

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Key Concepts and Terminology

43 min

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📝 Study Notes

KEY TAKEAWAYS — Foundations and Key Concepts • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Foundations and Key Concepts". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 2: Strategic Context and Environment

2 lessons · 123 min · 3 hours

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Reading the Operating Environment

60 min

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Aligning with Organisational Strategy

63 min

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📝 Study Notes

KEY TAKEAWAYS — Strategic Context and Environment • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Strategic Context and Environment". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 3: Core Frameworks and Tools

2 lessons · 117 min · 3 hours

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Essential Frameworks and Models

57 min

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Practical Tools and Techniques

60 min

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📝 Study Notes

KEY TAKEAWAYS — Core Frameworks and Tools • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Core Frameworks and Tools". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 4: Planning and Design

2 lessons · 105 min · 4 hours

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Planning for Success

60 min

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Designing the Approach

45 min

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📝 Study Notes

KEY TAKEAWAYS — Planning and Design • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Planning and Design". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 5: Implementation and Execution

2 lessons · 110 min · 3 hours

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Executing Effectively

51 min

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Managing Delivery and Stakeholders

59 min

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📝 Study Notes

KEY TAKEAWAYS — Implementation and Execution • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Implementation and Execution". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 6: Measurement and Performance

2 lessons · 102 min · 3 hours

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Metrics, KPIs and Dashboards

61 min

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Continuous Improvement

41 min

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📝 Study Notes

KEY TAKEAWAYS — Measurement and Performance • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Measurement and Performance". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 7: Risk, Governance and Compliance

2 lessons · 109 min · 4 hours

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Managing Risk and Compliance

47 min

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Governance and Accountability

62 min

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📝 Study Notes

KEY TAKEAWAYS — Risk, Governance and Compliance • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Risk, Governance and Compliance". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Module 8: Leadership, Culture and Sustainability

2 lessons · 103 min · 3 hours

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Leading People and Culture

49 min

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Sustaining Results Long-Term

54 min

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📝 Study Notes

KEY TAKEAWAYS — Leadership, Culture and Sustainability • Predictive Analytics with AI requires both technical skill and sound judgement. • Always start from clear objectives and measurable outcomes. • Use data to drive decisions, not assumptions. • Assign clear ownership and accountability. • Embed lessons learned into systems and culture. • Account for the African operating context and local regulations.

✏️ Practical Exercise

Reflect on your own organisation. Identify one real challenge related to "Leadership, Culture and Sustainability". Using the frameworks from this module, outline (1) the objective, (2) two practical actions you would take this month, and (3) how you would measure success. Be specific and realistic for your context.

Who Should Attend

▸Managers and supervisors responsible for artificial intelligence
▸Professionals seeking to advance their careers in artificial intelligence
▸Team leaders and officers in the public and private sectors
▸Anyone transitioning into a artificial intelligence role
▸Consultants, advisors and practitioners in the field

No prior qualification is required. This course is delivered 100% online and is suitable for professionals across Kenya and the wider African region.

Learning Outcomes

By the end of this course, participants will be able to:

✓Build the core principles and frameworks of predictive analytics with ai
✓Analyse practical tools to real workplace challenges
✓Create and improve current practices in their organisation
✓Develop and implement effective approaches with measurable outcomes
✓Develop artificial intelligence practice with organisational strategy
✓Analyse risk, compliance and governance considerations

Quick Details

Duration27 hours

Modules8 modules

Lessons16 lessons

LevelIntermediate

PriceKES 20,000

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Predictive Analytics with AI

What You Will Learn

Course Curriculum

Who Should Attend

Learning Outcomes

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