Faysal AzizAI for Business Executives
Understanding AI, Generative AI and AWS-Powered Business Transformation - short
Why this course
Artificial Intelligence has rapidly become a board-level discussion point, influencing strategy, operations, customer engagement, and competitive positioning across industries. Yet many executive conversations around AI remain heavily influenced by hype, unclear terminology, and unrealistic expectations. This executive briefing is designed to provide business leaders with a practical understanding of modern AI technologies, their capabilities, limitations, risks, and real-world business applications.
The session focuses on demystifying AI concepts including Machine Learning, Deep Learning, Large Language Models (LLMs), and Generative AI before moving into practical enterprise use cases and AWS-powered AI services. Participants will gain strategic insight into how AI is reshaping organizations and how executives can approach AI adoption responsibly and effectively.
The program is delivered by an instructor with over 30 years of industry experience, incorporating real-world enterprise perspectives, operational realities, and industry-driven use cases rather than purely academic discussions.
Learning outcomes
By the end of this session, participants will be able to:
- Understand core AI concepts and terminology
- Differentiate between AI, Machine Learning, Deep Learning, and Generative AI
- Understand how Large Language Models (LLMs) function at a high level
- Identify practical business use cases for AI
- Recognize AI limitations, risks, and governance concerns
- Explore AWS AI and Generative AI services
- Understand how executives can begin AI adoption initiatives responsibly
Prerequisites
- General business or management experience
- No technical or programming background required
8 modules
01Introduction to Artificial Intelligence4 topics
- What AI actually is
- AI myths versus reality
- Evolution of AI and current industry trends
- AI versus automation and analytics
02AI Fundamentals for Executives7 topics
- Artificial Intelligence overview
- Machine Learning fundamentals
- Deep Learning concepts
- Neural networks at a high level
- Generative AI overview
- Large Language Models (LLMs)
- AI agents and copilots
03Understanding Modern AI Systems5 topics
- How LLMs work
- Training data and model behavior
- Prompt engineering fundamentals
- Hallucinations and AI inaccuracies
- Context limitations and reliability concerns
04AI Risks, Governance and Business Considerations6 topics
- Data privacy and security concerns
- Intellectual property risks
- Bias and ethical concerns
- Regulatory and compliance considerations
- Responsible AI usage
- Human oversight and governance
05Business Applications of AI6 topics
- Executive productivity
- Customer service and support
- Marketing and personalization
- Finance and reporting
- HR and talent management
- Knowledge management and enterprise search
06AWS AI and Generative AI Services6 topics
- AWS AI ecosystem overview
- Introduction to Amazon Bedrock
- Foundation models on AWS
- Amazon Q Business overview
- Amazon SageMaker AI overview
- Security and governance on AWS AI platforms
07Executive AI Tool Demonstrations5 topics
- AI-assisted content generation
- Business summarization and reporting
- Enterprise AI assistants
- Prompting strategies for executives
- Evaluating AI-generated outputs
08AI Adoption Strategy for Leadership5 topics
- Identifying realistic AI opportunities
- Avoiding common AI adoption mistakes
- AI readiness considerations
- Building an AI roadmap
- Future trends in enterprise AI
AWS Technologies Covered
- Amazon Bedrock
- Amazon Q Business
- Amazon SageMaker AI
This course outline is intended as a general guideline for training delivery purposes. The trainer reserves the right to modify, reorganize, expand, or adjust the content, demonstrations, tooling focus, and coverage areas as necessary based on audience engagement, sponsor requirements, technological developments, and operational considerations without prior notice.
A programme built around your team.
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