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AI Strategy and Execution for Managers: Certificate Course
Go Beyond ChatGPT: Build, Evaluate and Implement Generative AI with Focus on PoCs, Compliance and Business Integration
What you'll learn
Design and implement a company-wide AI strategy framework
Evaluate and manage generative AI applications
Build and orchestrate scalable AI-powered business processes
Identify high-impact AI use cases and validate them through proof-of-concept projects
Understand model behavior, variability, and how to reduce output risks in generative AI systems
Drive the transition from proof-of-concept to enterprise-grade implementation
Structure and test AI workflows for quality, reproducibility, and reliability
Apply agile project management methods to AI use cases
Align AI initiatives with governance, ethics, compliance, and risk requirements
Monitor, evaluate, and improve AI applications using feedback and performance metrics
Requirements
Designed for professionals from all backgrounds-no coding, data science, or technical expertise is required.
Some familiarity with AI tools like ChatGPT is helpful, but not essential.
Experience with digital tools in a business, innovation, or IT environment can make it easier to apply the course content, but it is absolutely fine if you are just getting started.
Most importantly, come with curiosity, a willingness to engage with new technologies, and a mindset focused on creating real value with AI.
Description
Gain a comprehensive framework to design, implement, and scale generative AI across your organization-without the need for a technical background. Designed for professionals leading innovation, strategy, transformation, or digital initiatives, this course focuses on turning AI into practical business value. You will learn to identify and evaluate AI opportunities, define meaningful and high-impact use cases, and manage proof-of-concept projects with confidence, clarity, and a focus on measurable outcomes.Key topics include aligning AI initiatives with essential organizational dimensions such as governance, ethics, compliance, risk management, and quality assurance. You will gain a clear understanding of how generative AI models work, what makes them unpredictable, and how their behavior differs from traditional rule-based software systems. This foundational knowledge is essential for designing reliable, repeatable, and business-aligned AI-powered processes.The course also helps you assess and navigate emerging regulatory frameworks like the EU AI Act. You will learn how to build internal compliance structures and evaluate your AI solutions for accuracy, bias, explainability, transparency, and security concerns.Each module guides you through the practical steps needed to move AI projects forward. You will explore architecture and orchestration, plan implementation, and build testing strategies-enabling you to structure robust workflows and lead your organization's AI roadmap from initial experimentation to scalable, enterprise-grade execution.
Who this course is for
Managers and decision-makers responsible for AI in their organization
Project leads overseeing AI-related initiatives
Business strategists focused on digital transformation
Innovation managers driving generative AI use cases
Transformation officers shaping organizational AI strategy
rapidgator.net:
nitroflare.com:
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 1m | Size: 2.34 GB
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 1m | Size: 2.34 GB
Go Beyond ChatGPT: Build, Evaluate and Implement Generative AI with Focus on PoCs, Compliance and Business Integration
What you'll learn
Design and implement a company-wide AI strategy framework
Evaluate and manage generative AI applications
Build and orchestrate scalable AI-powered business processes
Identify high-impact AI use cases and validate them through proof-of-concept projects
Understand model behavior, variability, and how to reduce output risks in generative AI systems
Drive the transition from proof-of-concept to enterprise-grade implementation
Structure and test AI workflows for quality, reproducibility, and reliability
Apply agile project management methods to AI use cases
Align AI initiatives with governance, ethics, compliance, and risk requirements
Monitor, evaluate, and improve AI applications using feedback and performance metrics
Requirements
Designed for professionals from all backgrounds-no coding, data science, or technical expertise is required.
Some familiarity with AI tools like ChatGPT is helpful, but not essential.
Experience with digital tools in a business, innovation, or IT environment can make it easier to apply the course content, but it is absolutely fine if you are just getting started.
Most importantly, come with curiosity, a willingness to engage with new technologies, and a mindset focused on creating real value with AI.
Description
Gain a comprehensive framework to design, implement, and scale generative AI across your organization-without the need for a technical background. Designed for professionals leading innovation, strategy, transformation, or digital initiatives, this course focuses on turning AI into practical business value. You will learn to identify and evaluate AI opportunities, define meaningful and high-impact use cases, and manage proof-of-concept projects with confidence, clarity, and a focus on measurable outcomes.Key topics include aligning AI initiatives with essential organizational dimensions such as governance, ethics, compliance, risk management, and quality assurance. You will gain a clear understanding of how generative AI models work, what makes them unpredictable, and how their behavior differs from traditional rule-based software systems. This foundational knowledge is essential for designing reliable, repeatable, and business-aligned AI-powered processes.The course also helps you assess and navigate emerging regulatory frameworks like the EU AI Act. You will learn how to build internal compliance structures and evaluate your AI solutions for accuracy, bias, explainability, transparency, and security concerns.Each module guides you through the practical steps needed to move AI projects forward. You will explore architecture and orchestration, plan implementation, and build testing strategies-enabling you to structure robust workflows and lead your organization's AI roadmap from initial experimentation to scalable, enterprise-grade execution.
Who this course is for
Managers and decision-makers responsible for AI in their organization
Project leads overseeing AI-related initiatives
Business strategists focused on digital transformation
Innovation managers driving generative AI use cases
Transformation officers shaping organizational AI strategy
rapidgator.net:
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nitroflare.com:
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