Entry Requirements for AI And Digital Transformation In Insurance
Computer literacy
Duration: 1 Months
Delivery Method: Both Online & Physical
Fee Structure for AI And Digital Transformation In Insurance
| Full Course Fees | |
|---|---|
| Registration Fee | KES 1,000.00 ($ 10.00) |
| Certification Fee | KES 0.00 ($ 0.00) |
| Administration Fee | KES 0.00 ($ 0.00) |
| Internal Exam Fee | KES 0.00 ($ 0.00) |
| External Exam Fee | KES 0.00 ($ 0.00) |
| Examining Body Membership Fee * | KES 0.00 ($ 0.00) |
| Tuition Fee | KES 14,000.00 ($ 140.00) |
| Fees Totals | KES 15,000.00 ($ 150.00) |
| * Examining Body Membership Fee may be payable through us or directly to the Examining Body | |
All Fees are payable in lumpusm or in installments, for details see below.
Breakdown per semester,
| Trimester | Total Per Trimester |
|---|---|
| Trimester 1 | KES 15,000.00 ($ 150.00) |
| Total | KES 15,000.00 ($ 150.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 15,000.00 ($ 150.00) is payable in 3 installments of KES 5,000.00 ($ 50.00)
Course Requirements for AI And Digital Transformation In Insurance
- All Fees are payable in installements, for details check FAQs.
- Digital (downloadable) certificates are available. Printing and shipping of hardcopy certificate can be done at a cost of KES 2,000 ($ 20).
Practical Requirements for AI And Digital Transformation In Insurance (where applicable)
The cost of practicals, internships or industrial requirements is KES 30,000 ($ 300) and only applies to courses that require practicals.
Course Units/Overview for AI And Digital Transformation In Insurance
AI and Digital Transformation in Insurance
| Unit ID | Unit Name |
|---|---|
| ADTI001 | AI And Digital Transformation In Insurance |
Course Description for AI And Digital Transformation In Insurance
Course Overview;
The AI and Digital Transformation in Insurance course is a 1-month online programdesigned to equip learners with practical knowledge and skills in applying artificial intelligence (AI), automation, data analytics, and digital technologies to transform insurance operations. The course explores how emerging technologies are reshaping underwriting, claims management, customer service, fraud detection, risk assessment, pricing, and product innovation within the insurance industry. Learners will gain an understanding of AI-powered decision-making, machine learning applications, predictive analytics, robotic process automation (RPA), digital customer engagement, blockchain, cloud computing, and InsurTech innovations. The course also examines digital transformation strategies, cybersecurity considerations, ethical AI practices, and regulatory compliance in insurance.
Through practical examples, case studies, and real-world industry applications, learners will develop the ability to leverage AI and digital technologies to improve operational efficiency, enhance customer experience, reduce fraud, optimize risk management, and support business innovation. The course is suitable for insurance professionals, underwriters, claims officers, risk managers, insurance executives, brokers, technology professionals, entrepreneurs, and anyone seeking to understand the future of digital insurance.
Mode of Delivery
The mode of delivery is Online Learning which means that one can study from home and/or the office. Our Program employs a variety of self-instructional electronic and online self-study materials, such as; written self-instructional study modules, online interactive devices, and self-tests, cloud-based content, videos of lectures mediated technical learning materials e.g., audio-visual and e-learning materials.
Career Opportunities
- Digital Insurance Specialist
- AI in Insurance Analyst
- Insurance Innovation Officer
- Digital Transformation Officer
- InsurTech Consultant
- Insurance Business Analyst
- Insurance Operations Manager
- Risk Analytics Officer
- Claims Automation Specialist
- Customer Experience Manager
- Insurance Technology Consultant
- Digital Strategy Manager
Programme Goals
- Build a strong understanding of artificial intelligence and digital transformation in the insurance industry.
- Equip learners with practical skills in applying AI technologies to insurance operations.
- Develop competence in digital underwriting, claims automation, and customer engagement.
- Strengthen knowledge of predictive analytics and data-driven decision-making in insurance.
- Promote ethical AI implementation and compliance with insurance regulations.
- Enhance understanding of cybersecurity and digital risk management.
- Improve operational efficiency through automation and intelligent technologies.
- Foster innovation in insurance product development and service delivery.
- Prepare learners to lead digital transformation initiatives within insurance organizations.
- Equip professionals with future-ready skills for the evolving insurance industry.
Reasons to Study
- Gain practical skills in applying AI technologies within insurance operations.
- Learn how digital transformation is reshaping underwriting, claims, and customer service.
- Develop expertise in predictive analytics and data-driven insurance decision-making.
- Understand automation technologies that improve operational efficiency.
- Strengthen knowledge of fraud detection using artificial intelligence.
- Enhance digital customer engagement and personalized insurance services.
- Build skills in managing digital transformation projects within insurance organizations.
- Improve career opportunities in the growing InsurTech sector.
- Understand ethical, legal, and regulatory considerations surrounding AI in insurance.
- Gain a competitive advantage in the rapidly evolving digital insurance industry.
Tags
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Course Instructor(s) for AI And Digital Transformation In Insurance
TBA
Examining Body for AI And Digital Transformation In Insurance
FINSTOCK EVARSITY COLLEGE
FAQs for AI And Digital Transformation In Insurance
Q1. How many intakes are there?
There are three intakes in a year as follows:
|
Cohort |
Name |
Term Period |
Months |
Registration Window |
|
January Intake |
Trimester 1 |
Jan 1 — Apr 30 |
4 |
Anytime |
|
May Intake |
Trimester 2 |
May 1 — Aug 31 |
4 |
Anytime |
|
September Intake |
Trimester 3 |
Sep 1 — Dec 31 |
4 |
Anytime |
Q2. In how many installments can I pay the fees?
Payments can be done in 3 installments as specified in the fee structure.
Q3. When can I sit for the exams?
- Internal exams are activated for students individually.
- External exams (where applicable) are booked one month after you complete the course.
Refer to the external examining body for more details and requirements before seating for their exams.
Q4: Is this college accredited/approved?
Yes. The college is approved under the ministry of education, through TVETA, and also through National Industrial Training Authority (NITA).
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