Introduction to Developer Efficiency with Gemini on Google Cloud
     
 
    
      
        
  
  
      
    
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      Course Overview
      Generative AI is now at the center of transforming how software is designed, built, run, and managed. For developers, generative AI is a powerful tool for making coding more efficient and using APIs, such as the Gemini and PaLM APIs, within their applications. In this course, you are introduced to how generative AI can be used to make developers more efficient at writing code and implementing new features into applications. You will also explore available models in Vertex AI Model Garden.
    
  
  
      Who Should Attend
    
      All users of Google Cloud who want to optimize their efficiency using Gemini
    
  
  
      Course Objectives
    
      
- Understand the efficiency challenges in a developer workflow and how generative AI can make developers more efficient.
- Use Gemini Code Assist to more efficiently write code for your applications.
- Use Gemini in Google Cloud to quickly summarize your application logs.
- Explain the fundamentals of prompt design when using Gemini Code Assist.
- Integrate the Gemini and PaLM APIs in your applications to use generative AI.
- Explore available models in Vertex AI Model Garden.
	
  
  
	
  
  
	
  Course Outline
    
            
                
- Developer Efficiency on Google Cloud
- Using Gemini Throughout the Development Lifecycle
- Prompt Design for Gemini
- Leveraging Codey in Developer Workflows
- Discovering Model APIs Using Vertex AI Model Garden
 
        
 
     
    
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Class times are listed Central time
    This is a 1-day class
      
		
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