• Describe common Generative AI models, tools, and practical workflows
• Apply a strategic framework to build a professional AI toolkit by evaluating platforms for enterprise readiness, analyzing AI service economics, and making the architectural decision between cloud and local deployment
• Explain the importance of effective prompts and apply basic techniques to craft and refine prompts for improved Generative AI outputs
• Develop multimodal business assets by utilizing generative AI tools to create and refine text, visual, and audio content
• Apply security frameworks and governance practices to mitigate dataset bias, protect sensitive data, and neutralize AI-specific threats
• Validate AI-generated outputs by identifying quality issues and biases, and applying specific techniques to correct those errors for professional use
• Construct complex, multi-step prompts by applying advanced methodologies to manage ambiguity and elicit specific LLM responses