Robert K.
After 365:
Data Analysis Specialist | Nagel-Group
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Online Course
AI Strategy
with
Bernard Marr
Transform Your Business with Applied AI Strategy and Execution
350 students already enrolled
Skill level:
Basic
Duration:
4 hours
-
Lessons (4 hours)
- Lessons (4 hours)
CPE credits:
5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited
certificate
What you learn
- Understand the full evolution of AI
- Identify AI opportunities within your organization
- Align AI initiatives with business strategy to maximize value
- Define, assess, and prioritize high-impact AI use cases
- Translate AI strategy into action through structured planning
Topics & tools
Business strategyAI StrategyAITheory
Your instructor
Best-selling author at Forbes | Founder & CEO of Bernard Marr & Co. | Top 5 business influencers
Track record
Bringing real-world expertise from leading global companies
Academic background
Other, Business, Engineering, and IT
Media and recognition
- 2022 Business Book of the Year
- LinkedIn's #1 Business influencer in the UK
- Contributor to Forbes and the World Economic Forum
Course OVERVIEW
Description
CPE Credits: 5
Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
AI Strategy is a comprehensive, executive-level course designed to help leaders, managers, and decision-makers understand, plan, and implement AI across their organizations.
You’ll move far beyond the buzzwords and gain a clear, structured understanding of how AI works, why it matters, and how it is reshaping every industry.
Through a progression of practical frameworks, real-world examples, and step-by-step strategic guidance, you will learn how to:
- Understand the evolution of AI—from early expert systems to today’s multimodal and agentic systems
- Navigate the era of hyper-innovation and the technologies driving itIdentify high-impact AI opportunities within your products, services, and operations
- Build a strong data foundation and become a data-driven organization
- Translate AI strategy into execution through planning, governance, and change management
- Measure results using effective scorecards, dashboards, and storytellingLearn from leading global examples (Shell, IKEA, NHS, biotech firms, and more)
- Apply 10 essential principles for successful AI implementation
By the end of the course, you’ll have a concrete understanding of how to design an AI strategy that works—and how to execute it in a way that drives measurable, sustained business value.
Prerequisites
- Intro to AI
Advanced preparation
Curriculum
56 lessons
43 exercises
1 exam
- 2. Understanding AI43 min43 minSection introduction FreeThe beginnings of AI FreeThe era of expert systems FreeExercise FreeThe emergence of Machine Learning and Deep Learning FreeGenerative AI: The AI revolution in action FreeExercise FreeMultimodal AI FreeAgentic AI FreeExercise FreePhysical AI FreeAGI and Superintelligence FreeExercise Free
- 3. AI and era of hyperinnovation36 min36 min
- 4. Transforming industries40 min40 min
- 5. Finding the AI use cases in your business41 min41 min
- 6. Vital roles of data28 min28 min
- 7. Executing AI strategy17 min17 min
- 8. Measure and monitor14 min14 min
- 9. Real-world AI implementation examples20 min20 min
- 10. Ten tips for successful AI implementation4 min4 min
- 11. Conclusion3 min3 min
- 12. Course exam60 min60 min
Free lessons
1.1 What does the course cover
6 min
2.1 Section introduction
2 min
2.2 The beginnings of AI
3 min
2.3 The era of expert systems
4 min
2.5 The emergence of Machine Learning and Deep Learning
8 min
2.6 Generative AI: The AI revolution in action
6 min
94%
of AI and data science graduates
successfully change
or advance their careers.
$29,000
average salary increase
after moving to an AI and data science career
96%
of our students recommend
365 Data Science.
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-Study learning plan.
How it WORKS
Student REVIEWS
