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- Generative AI is reshaping business operations, enabling organizations to automate tasks, personalize experiences, and accelerate innovation. In this module, you explored the core concepts of generative AI, compared solution types, and learned how to align AI capabilities with your strategic goals. With a clear understanding of models, cost factors, and responsible practices, you are equipped to lead your organization's AI transformation and realize measurable outcomes.
By the end of this module, you are able to:
- Explain the foundational concepts and business value of generative AI for organizations.
- Identify and evaluate Microsoft generative AI solutions—including Copilot, Azure AI, and agents—for common business scenarios.
- Assess key considerations for adopting generative AI, including model selection, cost drivers, and responsible use.
- Recognize challenges and opportunities in generative AI, such as reliability, bias, and strategic alignment.
- Discover how to make generative AI work for your organization. Learn the essential elements of building reliable, responsible AI solutions that align with your business goals and ethical standards.
By the end of this module, you are able to:
- Explain why prompt engineering influences AI outcomes.
- Describe how grounding and RAG improve AI accuracy and trust.
- Identify key data quality and security needs for trustworthy AI.
- Recognize when to use machine learning and understand its lifecycle.
