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Course Outline
Module 1: Introduction to AI and Google Gemini for Government
- What is Artificial Intelligence (AI)?
- Overview of Google Gemini AI and its ecosystem for government applications
- Key features and advantages of Gemini over other AI models in the public sector
- Hands-on Activity: Exploring Gemini AI through the Google AI Studio demo for government users
Module 2: Understanding Large Language Models (LLMs)
- Fundamentals of large language models and their relevance to public sector tasks
- The architecture and operation of Gemini models in governmental workflows
- Comparing Gemini with GPT and other leading models for government use cases
- Practice Lab: Visualizing tokenization and model responses using sample prompts for government applications
Module 3: Getting Started with Gemini
- Setting up the development environment for government projects
- Working with the Gemini API and SDK in public sector environments
- Authentication, tokens, and API keys for secure government use
- Hands-on Lab: Running your first Gemini prompt using Python for government tasks
Module 4: Working with Gemini Models
- Exploring different Gemini model types and capabilities for public sector needs
- Selecting appropriate models for language, image, or multimodal tasks in government applications
- Initializing and testing generative models for government projects
- Practical Exercise: Comparing text-to-text and image-to-text model outputs for government use cases
Module 5: Practical Applications and Use Cases
- Integrating Gemini AI into chat and Q&A applications for government services
- Developing semantic search and summarization tools for public sector documents
- Ethical AI usage and bias considerations in governmental contexts
- Group Project: Build a “Smart Research Assistant” using NotebookLM and Gemini for government research
Module 6: Advanced Features and Customization
- Prompt optimization and advanced context handling for government tasks
- Using Gemini for code generation and debugging in public sector projects
- Fine-tuning workflows with Google Cloud Vertex AI for government applications
- Hands-on Activity: Customizing model responses using parameters and temperature control for government needs
Module 7: Real-World Projects and Collaboration
- Collaborative project planning and workflow setup for government teams
- Integrating Gemini AI with other Google tools (Drive, Docs, Sheets) for public sector use
- Team Project: Design and deploy a small AI application (e.g., content summarizer, chatbot, or idea generator) for government purposes
- Peer review and discussion of project results in the context of government operations
Module 8: Evaluation and Future Directions
- Troubleshooting common issues in Gemini projects for government users
- Exploring the Gemini API roadmap and upcoming features for public sector enhancements
- Best practices for AI governance and scalability in government settings
- Wrap-up Activity: Reflection on practical lessons learned and career applications for government professionals
Summary and Next Steps for Government Users
Requirements
- An understanding of fundamental AI concepts
- Experience with APIs and cloud services for government
- Proficiency in Python programming
Audience
- Software developers
- Data scientists
- AI professionals
14 Hours
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