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