19 AI Courses for Strategy Managers that You Should Know About in 2025

As artificial intelligence (AI) continues its rapid advancement, its impact on various industries cannot be overstated. For professionals in strategic management, the integration of AI into business processes is not merely a trend but a crucial evolution. The demand for AI knowledge and skills among Strategy Managers is surging, as companies worldwide strive to stay competitive and innovative. Upskilling in AI has become essential for Strategy Managers to keep pace with technological changes, make informed decisions, and drive business growth. Indeed, the transformation AI brings is likely to reshape job roles and responsibilities, making it imperative for Strategy Managers to acquire a solid understanding of AI tools and methodologies.

Why AI Matters for Strategy Managers Today

AI is a transformative force in the business world, and its relevance to Strategy Managers is undeniable. Recent statistics reveal that 69% of businesses have already adopted some form of AI technology across various operations. This widespread adoption underscores the need for Strategy Managers to understand AI's potential and limitations to effectively guide their organizations. The purpose of this article is to assist Strategy Managers in identifying the best AI courses that can enhance their skills and prepare them for the challenges and opportunities that AI presents.

The Growing Role of AI in Strategy Managers

AI applications are increasingly pivotal in the strategic management field, offering tools for automation, enhanced decision-making, and personalized customer experiences. Automation in particular helps streamline routine tasks, allowing Strategy Managers to focus on more complex and strategic initiatives. AI-driven analytics provide deeper insights into market trends and consumer behavior, enabling more accurate forecasts and data-driven decisions. As AI continues to integrate into business workflows, Strategy Managers are experiencing a shift in how tasks are approached and executed, necessitating a robust understanding of AI technologies.

Benefits of Becoming an AI Expert in Strategy Managers

For Strategy Managers, becoming proficient in AI offers numerous benefits. It enhances their ability to craft informed, strategic decisions that can drive competitive advantage. AI expertise can lead to more efficient use of resources, improved innovation processes, and a deeper understanding of market dynamics. Furthermore, possessing strong AI skills positions Strategy Managers as indispensable assets within their organizations, capable of leading AI initiatives that align with business goals. By investing in AI education, Strategy Managers can enhance their career prospects and contribute significantly to their organizations' success.

This article reviews a comprehensive selection of 19 AI courses, including the CompleteAI Training, designed specifically for Strategy Managers professionals. Each course has been evaluated to provide insights into their offerings, helping you choose the most suitable program to advance your AI journey.

Comparison: All AI Courses for Strategy Managers (Updated Q2' 2025)

Course Name	Provider	Price	Key Topics	Pros	Cons	Best For
AI for Strategy Managers	CompleteAI Training	$29/month (monthly subscription), $8.25/month billed annually	Video courses, certifications, AI tools updates, AI industry news	Highest rating, extensive range, daily updates, affordable	Subscription based	Strategy Managers professionals
Artificial Intelligence: Implications for Business Strategy	MIT Sloan School of Management & MIT CSAIL	$3,850	AI for business growth, machine learning, generative AI, robotics	Certificate from MIT Sloan, flexible learning, AI project	High cost, time commitment	General learners
Leading AI Strategy and Execution	Irish Management Institute (IMI)	$1,615	AI implementation, ethical AI, regulatory compliance	Hands-on workshops, focus on ethics	Short duration, may need follow-up	General learners
AI for Managers , Embracing the potential of AI	ESMT Berlin	$5,200	AI fundamentals, strategy, governance, ethics, generative AI tools	Immersive format, networking with experts	Face-to-face only, high cost	General learners
AI Product Management Specialization	Duke University via Coursera	Free	Machine learning, AI projects, data science process	Practical focus, suitable for non-technical leaders	Not specified	General learners
IBM AI Product Manager Professional Certificate	IBM via Coursera	Free	Product management, AI models, Agile methods	Comprehensive coverage, practical case studies	Time intensive	General learners
Generative AI for Product Managers Specialization	IBM via Coursera	Free	Generative AI, prompt engineering, NLP	Focused on generative AI	Not specified	General learners
Artificial Intelligence Course (MIT Online)	MIT Online via GetSmarter	Not specified	AI applications, strategic advantages, AI integration	Strategic focus for managers	Time commitment	General learners
Artificial Intelligence for Product Certification (AIPC)™	Product School	$442/month	AI product strategy, UX design, AI experiments	Hands-on projects, practical skills	High monthly cost	General learners
AI Product Management Bootcamp and Certification	PM Accelerator	$699 - $5,997	AI product building, resume reviews, interview training	Real-world experience, career support	Varied pricing, requires commitment	General learners
AI Product Manager (Udacity)	Udacity	$249/month (all-access monthly), $211.50/month (all-access bundle)	AI for business, data leveraging, LLM integration	Focus on data-driven development	Subscription pricing	General learners

Understanding AI Training for Strategy Managers Professionals

With the rapid advancement of artificial intelligence technologies, professionals in strategic management roles are increasingly seeking educational opportunities to effectively integrate AI into their business strategies. This article compares various AI courses designed specifically for strategy managers, highlighting their unique features, costs, and suitability for different learner needs.

Course 1: CompleteAI Training

CompleteAI Training offers a comprehensive suite of over 100 video courses and certifications specifically tailored for strategy managers. Their subscription model provides continuous updates on the latest AI tools and industry news, ensuring learners stay informed about relevant advancements. The courses cover a wide range of AI applications tailored to strategic management, making it a complete educational resource for professionals in this field.

Key Topics Covered: Extensive AI education, strategic management applications, latest AI tools and industry news.

Target Audience and Skill Level Requirements: Suitable for strategy managers at all levels who seek continuous learning and updates in AI tools.

Pros:
• Extensive range of courses and certifications.
• Daily updates on AI tools and news.
• Affordable pricing, especially with annual billing.

Cons:
• Subscription-based model requires ongoing commitment.

Who Would Benefit Most: Strategy managers looking for an affordable, comprehensive AI education with regular updates on the latest tools.

Visit CompleteAI Training for Strategy Managers

Course 2: Artificial Intelligence: Implications for Business Strategy by MIT Sloan School of Management & MIT CSAIL

This self-paced online course from MIT focuses on understanding and leveraging AI for business growth. It covers the organizational and managerial implications of AI, including machine learning and robotics, and includes a hands-on project for practical application. The course is well-regarded for its depth and practical focus, offering a certificate of completion from MIT Sloan.

Key Topics Covered: AI and business growth, organizational implications, hands-on AI project.

Target Audience and Skill Level Requirements: Designed for strategy managers, executives, and decision-makers with a focus on practical application.

Pros:
• Certificate from a prestigious institution.
• Interactive and practical learning experience.

Cons:
• High tuition cost.
• Requires significant weekly time commitment.

Who Would Benefit Most: Senior strategy managers and executives looking for a comprehensive understanding of AI in business strategy.

Visit MIT Sloan AI Course

Course 3: Leading AI Strategy and Execution by Irish Management Institute (IMI)

IMI offers a 2-day intensive program aimed at senior business leaders. The course focuses on developing a tailored AI implementation plan, covering data-driven decision-making, ethical AI governance, and regulatory compliance. This hands-on workshop is ideal for those seeking immediate application of AI strategies in their organizations.

Key Topics Covered: AI technologies, ethical governance, regulatory compliance, data-driven decision-making.

Target Audience and Skill Level Requirements: Suitable for senior leaders with varying levels of AI experience.

Pros:
• Hands-on workshops with peer discussions.
• Focus on ethical AI and regulatory compliance.

Cons:
• Short duration may require follow-up for deeper technical skills.

Who Would Benefit Most: Senior leaders looking for practical, ethical AI strategies for immediate use.

Visit IMI AI Course

Course 4: AI for Managers , Embracing the Potential of AI by ESMT Berlin

ESMT Berlin offers a 4-day face-to-face program in Berlin, designed for mid-to-senior level executives. The course combines academic insights with real-world applications, covering AI fundamentals, strategy, governance, and ethics. Participants engage in hands-on workshops and network with AI experts and startup founders.

Key Topics Covered: AI fundamentals, strategy, governance, ethics, real-world applications.

Target Audience and Skill Level Requirements: Mid-to-senior level executives willing to travel for an immersive learning experience.

Pros:
• Intensive, immersive format with expert networking.
• Combines academic and real-world insights.

Cons:
• Face-to-face format requires travel to Berlin.
• High tuition cost.

Who Would Benefit Most: Executives seeking an immersive AI learning experience with networking opportunities.

Visit ESMT Berlin AI Course

Course 5: AI Product Management Specialization by Duke University via Coursera

This specialization focuses on applying machine learning to solve problems and lead AI projects. It emphasizes designing AI products with privacy and ethical standards in mind, making it suitable for non-technical leaders interested in AI product management.

Key Topics Covered: Machine learning applications, AI product design, privacy and ethics.

Target Audience and Skill Level Requirements: Non-technical leaders interested in AI product management.

Pros:
• Practical focus on AI product design and ethical considerations.
• Free access to the course.

Cons:
• Limited technical depth may not suit advanced learners.

Who Would Benefit Most: Non-technical leaders looking to understand AI product management without coding requirements.

Visit Duke University AI Course

Course 6: IBM AI Product Manager Professional Certificate by IBM via Coursera

IBM's course focuses on applying product management skills to AI projects, covering stakeholder management, Agile methods, and integrating AI models. It includes practical case studies to provide a comprehensive understanding of AI product management.

Key Topics Covered: AI product management skills, stakeholder management, Agile methods.

Target Audience and Skill Level Requirements: Product managers and leaders interested in AI and Agile methodologies.

Pros:
• Comprehensive coverage of AI and Agile product management.
• Includes practical case studies.

Cons:
• Time-intensive course that requires commitment.

Who Would Benefit Most: Product managers looking to integrate AI with Agile methodologies in their projects.

Visit IBM AI Course

Course 7: Generative AI for Product Managers Specialization by IBM via Coursera

This specialization explores the applications of generative AI, including prompt engineering and natural language processing. It focuses on applying generative AI to product design and management, providing learners with insights into this emerging area.

Key Topics Covered: Generative AI applications, prompt engineering, natural language processing.

Target Audience and Skill Level Requirements: Suitable for product managers interested in generative AI.

Pros:
• Focus on generative AI, a key emerging area in AI technology.
• Free access to the course.

Cons:
• Specific focus may not cover broader AI applications.

Who Would Benefit Most: Product managers eager to explore generative AI applications in product design.

Visit IBM Generative AI Course

Course 8: Artificial Intelligence Course (MIT Online) by MIT Online via GetSmarter

The MIT Online course focuses on leveraging AI and generative AI for strategic business advantages. It covers evaluating AI applications, understanding AI’s impact on work, and developing AI integration strategies, making it ideal for managers and executives.

Key Topics Covered: AI strategic advantages, AI applications, integration strategies.

Target Audience and Skill Level Requirements: Managers and executives interested in strategic AI applications.

Pros:
• Strategic focus ideal for managers and executives.
• Offers insights into AI’s impact on work and business.

Cons:
• Significant weekly time commitment required.

Who Would Benefit Most: Executives seeking to understand AI's strategic business advantages.

Visit MIT Online AI Course

Course 9: Artificial Intelligence for Product Certification (AIPC)™ by Product School

This course covers AI product strategy, AI-native UX design, and LLM-powered features. It includes hands-on projects such as prototypes and AI experiments, equipping learners with practical AI product skills.

Key Topics Covered: AI product strategy, UX design, hands-on projects.

Target Audience and Skill Level Requirements: Suitable for product managers looking for practical AI skills.

Pros:
• Hands-on projects and practical AI product skills.
• Focus on AI-native UX design.

Cons:
• Relatively high monthly cost.

Who Would Benefit Most: Product managers seeking practical experience in AI product development.

Visit Product School AI Course

Course 10: AI Product Management Bootcamp and Certification by PM Accelerator

This bootcamp pairs product managers with AI engineers to build real AI products. It includes resume reviews, interview training, and access to an alumni network, providing real-world AI product experience and career support.

Key Topics Covered: AI product development, resume reviews, interview training.

Target Audience and Skill Level Requirements: Product managers seeking hands-on experience and career support.

Pros:
• Real-world AI product experience.
• Career support and networking opportunities.

Cons:
• Price varies widely based on the level.

Who Would Benefit Most: Product managers interested in hands-on AI product development and career advancement.

Visit PM Accelerator AI Course

Course 11: AI Product Manager (Udacity) by Udacity

Udacity's course teaches the fundamentals of AI for business, data leveraging, and creating custom datasets. It focuses on building PRDs and integrating LLMs, providing a comprehensive understanding of data-driven AI product development.

Key Topics Covered: AI fundamentals, data leveraging, PRD building.

Target Audience and Skill Level Requirements: Product managers interested in data-driven AI product development.

Pros:
• Focus on data-driven AI product development.
• Comprehensive understanding of AI fundamentals.

Cons:
• Subscription pricing may add up over time.

Who Would Benefit Most: Product managers looking to integrate data-driven approaches into AI product development.

Visit Udacity AI Course

Course 12: AI for Product Management Course by Pendo

Pendo offers a free, concise course on integrating AI into product management. It covers building AI-powered features and leveraging AI to boost product value, making it a practical introduction to AI in product management.

Key Topics Covered: AI integration, AI-powered features, product value enhancement.

Target Audience and Skill Level Requirements: Product managers seeking a quick, practical introduction to AI.

Pros:
• Free and concise course.
• Practical focus on AI integration.

Cons:
• Short duration may limit depth of learning.

Who Would Benefit Most: Product managers looking for a quick introduction to AI integration.

Visit Pendo AI Course

Course 13: AI Product Management Bootcamp by UBC Sauder School of Business

UBC Sauder's bootcamp covers managing AI products through development and deployment, integrating AI into traditional products, and ethical design. It provides a comprehensive understanding of AI product management with an ethical focus.

Key Topics Covered: AI product development, ethical design, product evangelization.

Target Audience and Skill Level Requirements: Product managers interested in ethical AI product management.

Pros:
• Comprehensive course with an ethical focus.
• Practical application in AI product management.

Cons:
• Higher price point may be a barrier for some.

Who Would Benefit Most: Product managers seeking a comprehensive understanding of ethical AI product management.

Visit UBC Sauder AI Course

Course 14: The Product Management for AI & Data Science Course by Udemy

Udemy's course covers AI and data science product management basics, project lifecycles, strategy execution, and ethics in AI projects. It's designed to be beginner-friendly and affordable, offering a solid foundation in AI product management.

Key Topics Covered: AI product management basics, project lifecycles, strategy execution.

Target Audience and Skill Level Requirements: Beginners in AI product management seeking an affordable course.

Pros:
• Affordable and beginner-friendly.
• Covers essential AI product management topics.

Cons:
• Shorter course length may limit depth.

Who Would Benefit Most: Beginners looking for an affordable introduction to AI product management.

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Course 15: AI Product Management Certification by Maven

Maven's certification program focuses on analyzing AI use cases, building prototypes, and decision-making in AI product management. It includes a hands-on capstone project for in-depth, project-based learning.

Key Topics Covered: AI use case analysis, prototype building, decision-making.

Target Audience and Skill Level Requirements: Product managers seeking in-depth, project-based AI learning.

Pros:
• In-depth, project-based learning experience.
• Includes a hands-on capstone project.

Cons:
• Higher cost may be a barrier for some learners.

Who Would Benefit Most: Product managers looking for an in-depth understanding of AI product management through practical projects.

Visit Maven AI Course

Course 16: Generative AI for Product Managers by LinkedIn Learning

This course offers a quick, practical introduction to integrating generative AI into product management. It covers using tools like ChatGPT in workflows and the product development lifecycle, making it ideal for those seeking a brief overview.

Key Topics Covered: Generative AI integration, ChatGPT workflows.

Target Audience and Skill Level Requirements: Product managers seeking a quick introduction to generative AI.

Pros:
• Quick, practical introduction to generative AI.
• Utilizes practical tools like ChatGPT.

Cons:
• Very brief course may not cover topics in depth.

Who Would Benefit Most: Product managers looking for a quick overview of generative AI integration in product management.

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Course 17: AI Product Management 101 and Certification in 2 weeks by Maven

This fast-paced course covers AI product lifecycle management, cross-team collaboration, AI metrics, and hands-on model training. It also includes creating AI PRDs, offering a comprehensive overview in a short timeframe.

Key Topics Covered: AI lifecycle management, cross-team collaboration, AI PRDs.

Target Audience and Skill Level Requirements: Product managers seeking rapid learning and certification.

Pros:
• Fast-paced learning with certification included.
• Covers comprehensive AI product management topics.

Cons:
• Intense timeframe may be challenging for some learners.

Who Would Benefit Most: Product managers seeking a rapid, comprehensive introduction to AI product management.

Visit Maven AI Course 101

Course 18: ChatGPT and Generative AI Mastery for Product Management by Udemy

This course teaches leveraging ChatGPT for product management tasks, automating workflows, and creating custom GPTs. It provides practical, affordable learning without requiring coding experience, making it accessible to all skill levels.

Key Topics Covered: ChatGPT applications, workflow automation, custom GPT creation.

Target Audience and Skill Level Requirements: Product managers at all skill levels; no coding required.

Pros:
• Affordable and practical learning.
• No coding experience required.

Cons:
• Some tools may require additional subscriptions.

Who Would Benefit Most: Product managers looking for practical skills in ChatGPT and AI tool usage.

Visit Udemy ChatGPT AI Course

Course 19: AI Product Management by Product HQ

This course focuses on AI product lifecycle management, collaboration with technical teams, and measuring AI feature impact. It provides practical and concise learning, ideal for those seeking a focused overview of AI product management.

Key Topics Covered: AI lifecycle management, collaboration, feature impact measurement.

Target Audience and Skill Level Requirements: Product managers seeking concise, practical learning.

Pros:
• Practical and concise.
• Focuses on collaboration and impact measurement.

Cons:
• Short duration may limit depth of learning.

Who Would Benefit Most: Product managers looking for a concise overview of AI product management.

Visit Product HQ AI Course

Overall Recommendations

For strategy managers seeking comprehensive and affordable AI education, CompleteAI Training offers a robust option with extensive courses and regular updates. For those with a higher budget looking for a prestigious certification, the MIT Sloan course provides a deep dive into AI's strategic business implications. If practical hands-on experience is a priority, the PM Accelerator bootcamp offers real-world product development opportunities. Each course caters to different learning styles and professional goals, enabling strategy managers to select the program that best aligns with their career aspirations and learning preferences.