15 Recommended AI Courses for Insurance Actuaries in 2025

The landscape of the insurance industry is shifting significantly with the rapid advancement of artificial intelligence (AI). For Insurance Actuaries professionals, this evolution is both an opportunity and a challenge. The integration of AI into actuarial work promises to enhance efficiency, improve accuracy, and streamline complex calculations. However, to remain competitive in this evolving field, upskilling in AI is no longer optional but necessary. The potential job impact is profound; actuaries who embrace AI technologies can expect to lead the charge in innovation, while those who resist may find themselves at a professional crossroads.

Why AI matters for Insurance Actuaries today

AI's relevance in the field of Insurance Actuaries is unmistakable. Recent data indicates that 69% of businesses are already utilizing AI in some capacity, underlining its growing importance. For actuaries, AI offers tools that can revolutionize the way risk is assessed and managed. This article aims to guide Insurance Actuaries professionals in identifying the most suitable AI courses to enhance their careers. By delving into the specifics of AI training, actuaries can ensure they are equipped with the skills necessary to thrive in a tech-driven environment.

The Growing Role of AI in Insurance Actuaries

The role of AI in the insurance industry is expanding beyond traditional boundaries. Key applications include automation, which reduces manual workload; enhanced decision-making capabilities through predictive analytics; and personalization of insurance products driven by consumer data insights. These advancements are reshaping tasks and workflows, allowing actuaries to focus on more strategic initiatives rather than routine calculations. Understanding these transformations is crucial for actuaries who wish to remain relevant and effective in their roles.

Benefits of becoming an AI expert in Insurance Actuaries

For Insurance Actuaries professionals, becoming proficient in AI offers numerous benefits. Enhanced analytical capabilities enable more precise risk assessment, leading to better pricing strategies and financial forecasting. Additionally, expertise in AI can improve job security and open doors to new career opportunities within the insurance sector. Professionals who invest in AI training are better positioned to contribute to their organizations' success and drive innovation in their field. This article will explore and compare 15 AI courses tailored for actuaries, including offerings from CompleteAI Training, to help professionals make informed decisions about their education and career development.

Comparison: All AI Courses for Insurance Actuaries (Updated Q2' 2025)

Course Name	Provider	Price	Key Topics	Pros	Cons	Best For
AI for Insurance Actuaries (Video Courses + Certifications)	CompleteAI Training	$29/month (monthly subscription), $8.25/month billed annually	AI education, AI tools, Industry news	Highest rating, Extensive range, Daily updates, Affordable pricing	Subscription based	General learners
2025 AI Fast Track Cohort 2	Casualty Actuarial Society (CAS) & Akur8	$550 (CAS/iCAS Member or Candidate), $750 (Non-Member), $2,750 for 6 participants, Free for Academic Central members	AI fundamentals, Machine learning, Deep learning, Ethics	Tailored for actuaries, Comprehensive coverage, Certificate awarded, Group discounts	Limited to 200 participants, Non-refundable, Scheduled sessions	General learners
AI & ChatGPT for Mortality and Morbidity Analysis	CompleteAI Training	Included in subscription ($29/month or $8.25/month billed annually)	AI, ChatGPT, Mortality and morbidity analysis	Practical integration, No prior AI experience required, Updated content	Requires subscription	General learners
AI & ChatGPT for Financial Forecasting	CompleteAI Training	Included in subscription ($29/month or $8.25/month billed annually)	AI, ChatGPT, Financial forecasting	Practical applications, Beginner-friendly, Updated for 2025	Requires subscription	General learners
AI & ChatGPT for Risk Modeling	CompleteAI Training	Included in subscription ($29/month or $8.25/month billed annually)	AI, ChatGPT, Risk modeling	Hands-on approach, No prior AI experience required, Regularly updated	Requires subscription	General learners
AI & ChatGPT for Pricing Strategy Development	CompleteAI Training	Included in subscription ($29/month or $8.25/month billed annually)	AI, ChatGPT, Pricing strategies	Practical focus, Beginner-friendly, Updated for 2025	Requires subscription	General learners
AI & ChatGPT for Reserving Methodologies	CompleteAI Training	Included in subscription ($29/month or $8.25/month billed annually)	AI, Reserving methodologies	Practical challenges, No prior AI experience required, Regularly updated	Requires subscription	General learners
AI & ChatGPT for Catastrophe Risk Analysis	CompleteAI Training	Included in subscription ($29/month or $8.25/month billed annually)	AI, Catastrophe risk analysis	High-impact scenarios, Beginner-friendly, Updated for 2025	Requires subscription	General learners
Intro to Conformal Prediction & Uncertainty in Actuarial Models	European Actuarial Academy (EAA)	Price not stated (contact EAA); estimated $250-$400 USD	Conformal prediction, Uncertainty quantification	Focus on uncertainty, Relevant for AI models	Price not stated, Limited duration	General learners
Explainable AI for Actuaries: Concepts, Techniques & Case Studies	European Actuarial Academy (EAA)	Price not stated (contact EAA); estimated $250-$400 USD	Explainable AI, Case studies	Focus on explainability, Practical case studies	Price not stated, Web session format	General learners
GenAI Beyond the Basics: Advanced Concepts for Actuaries	European Actuarial Academy (EAA)	Price not stated (contact EAA); estimated $250-$400 USD	Advanced generative AI	Advanced topics, Tailored for actuaries	Price not stated, Requires prior knowledge	General learners
AI Act: The Insurance Fallout - Use-Cases & Exemplary Implementations	European Actuarial Academy (EAA)	Price not stated (contact EAA); estimated $250-$400 USD	AI Act, Insurance use-cases	Regulatory impacts, Practical implementations	Price not stated, Web session format	General learners
Building an Interpretable Machine Learning Model	European Actuarial Academy (EAA)	Price not stated (contact EAA); estimated $250-$400 USD	Machine learning, Interpretability	Interpretability focus, Practical for compliance	Price not stated, Web session format	General learners
A Machine Learning Approach to Assumption Setting	European Actuarial Academy (EAA)	Price not stated (contact EAA); estimated $250-$400 USD	Machine learning, Assumption setting	Practical application, Improves accuracy	Price not stated, Web session format	General learners
Generative AI Crash Course for Actuaries	ISOA - EAA	$292 (early-bird, USD), $377 (regular, USD)	Generative AI, Predictive modeling, Automation	Actuarial applications, Practical use cases, Beginner-friendly	Limited to a half-day, Higher non-early-bird price	General learners

Understanding AI Training for Insurance Actuaries Professionals

As the insurance industry increasingly incorporates artificial intelligence (AI) into its operations, insurance actuaries must stay abreast of the latest AI tools and methodologies. Various training programs offer specialized courses for actuaries, focusing on AI applications in insurance. This article provides a comprehensive comparison of several AI courses designed for insurance actuaries, helping you choose the right program based on your professional needs and learning preferences.

Course 1: CompleteAI Training

CompleteAI Training offers a comprehensive library of over 100 video courses and certifications tailored specifically for insurance actuaries. The program provides foundational and advanced AI topics, with daily updates on relevant tools and industry news. This subscription-based service ensures continuous learning and adaptation to the latest AI developments.

Key Topics Covered: AI fundamentals, machine learning applications in insurance, deep learning, and industry-specific AI tools.

Target Audience and Skill Level Requirements: Designed for insurance actuaries at all levels, from beginners to advanced professionals.

Pros:
• Extensive range of courses and certifications tailored to actuaries.
• Daily updates on AI tools and industry news.
• Affordable pricing, especially with annual billing.
• Highest-rated and most complete offering for insurance actuaries.

Cons:
• Requires ongoing subscription for continuous access.

Who Would Benefit Most: Actuaries seeking a comprehensive, ongoing education in AI with a focus on practical applications and industry updates.

Course 2: 2025 AI Fast Track Cohort 2 by CAS & Akur8

The 2025 AI Fast Track Cohort 2 is a virtual bootcamp by the Casualty Actuarial Society (CAS) and Akur8. It aims to demystify AI and integrate it into actuarial workflows over eight sessions, with a certificate and five years of support.

Key Topics Covered: AI fundamentals, machine learning, deep learning, large language models, generative AI, and ethics.

Target Audience and Skill Level Requirements: Actuaries looking for structured learning with live sessions and a blend of basic to advanced topics.

Pros:
• Tailored specifically for insurance actuaries.
• Comprehensive coverage, including ethics.
• Certificate with ongoing support and resources.
• Group discounts and free registration for Academic Central members.

Cons:
• Limited to 200 participants per cohort.
• Non-refundable registration.
• Requires attendance at scheduled live sessions.

Who Would Benefit Most: Actuaries seeking a structured learning experience with live interaction and a certificate of completion.

Course 3: AI & ChatGPT for Mortality and Morbidity Analysis by CompleteAI Training

This course focuses on using AI and ChatGPT to enhance mortality and morbidity analysis, improving efficiency and accuracy for actuaries.

Key Topics Covered: Practical AI integration for actuarial analysis.

Target Audience and Skill Level Requirements: Beginner actuaries with no prior AI experience.

Pros:
• Practical AI integration in actuarial analysis.
• No prior AI experience required.
• Regularly updated content.

Cons:
• Requires subscription for access.

Who Would Benefit Most: Actuaries new to AI looking to apply it to mortality and morbidity data.

Course 4: AI & ChatGPT for Financial Forecasting by CompleteAI Training

This course teaches actuaries how to leverage AI and ChatGPT for financial forecasting, enhancing predictive capabilities and decision-making.

Key Topics Covered: Practical applications of AI in financial forecasting.

Target Audience and Skill Level Requirements: Beginner actuaries eager to improve their financial forecasting skills using AI.

Pros:
• Focus on practical financial forecasting applications.
• Easy to follow for beginners.
• Updated for 2025.

Cons:
• Requires subscription for access.

Who Would Benefit Most: Actuaries interested in enhancing their financial forecasting techniques with AI tools.

Course 5: AI & ChatGPT for Risk Modeling by CompleteAI Training

The course covers AI applications in risk modeling, helping actuaries build robust and dynamic risk assessment models.

Key Topics Covered: Hands-on approach to risk modeling with AI.

Target Audience and Skill Level Requirements: Designed for actuaries with no prior AI experience.

Pros:
• Practical approach to risk modeling.
• Beginner-friendly.
• Regularly updated.

Cons:
• Requires subscription for access.

Who Would Benefit Most: Actuaries starting with AI in risk modeling.

Course 6: AI & ChatGPT for Pricing Strategy Development by CompleteAI Training

This course focuses on developing pricing strategies using AI, aimed at helping actuaries optimize insurance product pricing.

Key Topics Covered: Practical focus on pricing optimization using AI.

Target Audience and Skill Level Requirements: Beginner actuaries interested in pricing strategies.

Pros:
• Beginner-friendly.
• Practical applications for pricing optimization.
• Updated for 2025.

Cons:
• Requires subscription for access.

Who Would Benefit Most: Actuaries looking to enhance their pricing strategy skills with AI.

Course 7: AI & ChatGPT for Reserving Methodologies by CompleteAI Training

The course teaches AI applications in reserving methodologies, enhancing accuracy in reserve calculations.

Key Topics Covered: Practical reserving challenges and AI solutions.

Target Audience and Skill Level Requirements: Suitable for beginners in AI.

Pros:
• Focus on practical reserving challenges.
• Regularly updated.
• No prior AI experience required.

Cons:
• Requires subscription for access.

Who Would Benefit Most: Actuaries keen on improving reserving methodologies with AI.

Course 8: AI & ChatGPT for Catastrophe Risk Analysis by CompleteAI Training

This course provides training on using AI for catastrophe risk analysis, helping actuaries better predict and manage extreme event risks.

Key Topics Covered: High-impact actuarial scenarios and AI solutions.

Target Audience and Skill Level Requirements: Beginner-friendly course for actuaries.

Pros:
• Practical and beginner-friendly.
• Regularly updated.
• Addresses high-impact scenarios.

Cons:
• Requires subscription for access.

Who Would Benefit Most: Actuaries focusing on catastrophe risk analysis with AI.

Course 9: Intro to Conformal Prediction & Uncertainty in Actuarial Models by EAA

The course introduces conformal prediction and uncertainty quantification in actuarial models, essential for AI-driven predictive models.

Key Topics Covered: Uncertainty quantification techniques.

Target Audience and Skill Level Requirements: Actuaries working with AI models.

Pros:
• Focus on uncertainty quantification.
• Relevant for actuaries using AI models.

Cons:
• Price not explicitly stated.
• Limited session duration.

Who Would Benefit Most: Actuaries interested in improving model transparency and reliability.

Course 10: Explainable AI for Actuaries by EAA

The course explores explainable AI concepts, techniques, and case studies to help actuaries interpret AI models transparently.

Key Topics Covered: Explainability and transparency in AI models.

Target Audience and Skill Level Requirements: Actuaries interested in model interpretation and transparency.

Pros:
• Focus on explainability and transparency.
• Includes practical case studies.

Cons:
• Price not explicitly stated.
• Limited to web session format.

Who Would Benefit Most: Actuaries focused on model transparency and stakeholder communication.

Course 11: GenAI Beyond the Basics by EAA

The course offers advanced insights into generative AI for actuaries, exploring sophisticated applications in insurance.

Key Topics Covered: Advanced generative AI concepts.

Target Audience and Skill Level Requirements: Actuaries with prior AI knowledge.

Pros:
• Covers advanced generative AI topics.
• Tailored for actuaries.

Cons:
• Price not explicitly stated.
• Requires prior AI knowledge.

Who Would Benefit Most: Experienced actuaries seeking deeper insights into generative AI applications.

Course 12: AI Act: The Insurance Fallout by EAA

This course explores the implications of the AI Act on insurance, with use cases and exemplary AI implementations.

Key Topics Covered: Regulatory and practical impacts of the AI Act.

Target Audience and Skill Level Requirements: Actuaries interested in compliance and implementation.

Pros:
• Focus on regulatory and practical impacts.
• Relevant for compliance and implementation.

Cons:
• Price not explicitly stated.
• Limited to web session format.

Who Would Benefit Most: Actuaries concerned with regulatory compliance and AI implementation.

Course 13: Building an Interpretable Machine Learning Model by EAA

The course focuses on constructing interpretable machine learning models, vital for regulatory compliance and stakeholder trust.

Key Topics Covered: Interpretability and transparency in machine learning models.

Target Audience and Skill Level Requirements: Actuaries needing to ensure model compliance and transparency.

Pros:
• Emphasizes interpretability and transparency.
• Practical for regulatory environments.

Cons:
• Price not explicitly stated.
• Limited to web session format.

Who Would Benefit Most: Actuaries focused on regulatory compliance and model interpretability.

Course 14: A Machine Learning Approach to Assumption Setting by EAA

The course explores using machine learning to improve actuarial assumption setting, enhancing accuracy and efficiency.

Key Topics Covered: Machine learning techniques for assumption setting.

Target Audience and Skill Level Requirements: Actuaries involved in assumption setting and valuation tasks.

Pros:
• Practical application of ML to actuarial tasks.
• Improves accuracy and efficiency.

Cons:
• Price not explicitly stated.
• Limited to web session format.

Who Would Benefit Most: Actuaries aiming to enhance valuation accuracy with machine learning.

Course 15: Generative AI Crash Course for Actuaries by ISOA - EAA

The Generative AI Crash Course offers a live web session covering fundamental generative AI models and practical applications for actuaries.

Key Topics Covered: Data generation, predictive modeling, automation, and risk assessment.

Target Audience and Skill Level Requirements: Beginner actuaries looking to learn about generative AI applications.

Pros:
• Focused on actuarial applications of generative AI.
• Covers cutting-edge techniques and practical use cases.
• Beginner-friendly.

Cons:
• Limited to a half-day session.
• Higher price for non-early-bird registration.

Who Would Benefit Most: Actuaries new to generative AI looking to gain foundational knowledge and applications.

Overall Recommendations

Choosing the right AI course for insurance actuaries depends on several factors, including your current skill level, specific interests, and learning goals. CompleteAI Training offers the most extensive and ongoing learning experience, ideal for actuaries seeking continuous education and the latest industry insights. For those who prefer structured, live sessions with certifications, the 2025 AI Fast Track Cohort 2 by CAS & Akur8 provides a comprehensive bootcamp. Actuaries interested in specific AI applications, such as risk modeling or pricing strategies, will benefit from the targeted courses offered by CompleteAI Training. For those focused on regulatory compliance and transparency, the courses by the European Actuarial Academy provide specialized insights. Ultimately, the best course will align with your professional objectives and preferred learning style.