English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 55 Lessons (3h 58m) | 4.75 GB
From AI Literate to AI Fluent. Build, Implement, and Govern AI Strategies That Deliver Real Value.
AI Strategy is a comprehensive, executive-level course designed to help leaders, managers, and decision-makers understand, plan, and implement AI across their organizations.
We are living through a defining moment in the history of business and technology. AI is not simply another trend—it is a general-purpose technology, on par with electricity or the Internet, already reshaping every industry, every function, and every role.
Today’s organizations are operating within what can best be described as a hyper-innovation cycle, where AI converges with cloud computing, robotics, extended reality, biotechnology, and quantum computing. This convergence accelerates change across every sector of the global economy.
And the numbers speak for themselves:
- $15.7 trillion — the estimated contribution of AI to the global economy by 2030
- 2× global economic growth — AI could double annual growth by 2035
- 40–60% of jobs in advanced economies are exposed to AI
But this isn’t just about disruption.
AI will augment human capabilities, unlock new roles, create new business models, and fundamentally change how value is created.
The question for every organization is no longer if to use AI, but how. Is your AI strategy effective, executable, and aligned with your priorities?
This course will help you answer that with clarity and confidence.
What You Will Learn
Using practical frameworks, real-world case studies, 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 models
- Navigate the era of hyper-innovation and the technologies accelerating it
- Identify high-impact AI opportunities across products, services, and operations
- Build a strong data foundation and transform into a data-driven organization
- Translate AI strategy into execution through planning, governance, and change management
- Measure results through effective KPIs, scorecards, and strategic storytelling
- Learn from leading examples (Shell, IKEA, NHS, biotech innovators, and more)
- Apply essential principles for successful AI design and deployment
By the end of the course, you will have a concrete blueprint for designing an AI strategy—and the practical knowledge to execute it in a way that delivers measurable, sustainable business value.
Ready to Lead Your Organization Into the AI-Driven Future?
Enrol now and become the leader who turns AI from a buzzword into a competitive advantage.
Start building an AI strategy that drives real business results—today.
Who this course is for:
- Business strategists
- Senior decision-makers
- Technology leaders
- Innovation and transformation managers
- Anyone shaping the future of their organization through AI
Table of Contents
Introduction
1 What does the course cover
Understanding AI
2 Section introduction
3 The beginnings of AI
4 The era of expert systems
5 The emergence of Machine Learning and Deep Learning
6 Generative AI The AI revolution in action
7 Multimodal AI
8 Agentic AI
9 Physical AI
10 AGI and Superintelligence
AI and era of hyperinnovation
11 Section introduction
12 Foundation technologies
13 Physical world technologies
14 Digital reality technologies
15 Life science technologies
Transforming industries
16 Section introduction
17 Healthcare
18 Finance and banking
19 Retail and е-commerce
20 Manufacturing and supply chain
21 Education
22 Media, entertainment, and marketing
23 Pro services
24 Energy
25 Government and friends
Finding the AI use cases in your business
26 Section introduction
27 AI-enabled products
28 AI-enabled services
29 AI-enabled operations
30 Aligning your business strategy with AI
31 Finding your AI use case opportunities
32 Defining AI use cases
Vital roles of data
33 Section introduction
34 Understanding different types of data
35 Internal, external, & emerging data
36 Synthetic data
37 Data quality
38 The shelf life of data
39 Becoming a data-driven organization
Executing AI strategy
40 From strategy to execution
41 Change management
42 New leadership roles
43 Planning
Measure and monitor
44 Why measurement matters
45 What to measure
46 Making it real
47 Scorecard, dashboards, and storytelling
Real-world AI implementation examples
48 Section introduction
49 Shell
50 Biotech
51 IKEA
52 NHS
53 Business unit examples
Ten tips for successful AI implementation
54 Ten tips for successful AI implementation
Conclusion
55 Conclusion
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