Google Gemini

Overview: The Google Gemini course is focused on understanding how to use Google’s generative AI tools (Gemini), and how to integrate them into applications, particularly within Google’s ecosystem.

Module 1: Introduction to Google Gemini

• What is Google Gemini?
  • Overview of Google’s generative AI platform.
  • Differences between Google Gemini and other generative models like ChatGPT.
  • Exploring multimodal capabilities (text, image, etc.).
• Understanding Google’s Approach to AI
  • Google’s research into language models, neural networks, and multimodal AI.
  • Understanding Google’s AI ethics and responsible AI practices.

Module 2: Working with Text and Language Models

• Text Generation and Language Understanding
  • Using Gemini for content generation: Text, stories, and blog posts.
  • Text summarization and sentiment analysis.
  • Conversational AI with Gemini for chatbots and virtual assistants.
• Advanced NLP with Google Gemini
  • Named entity recognition (NER), topic modeling, and clustering.
  • Language translation using Google’s AI models.

Module 3: Image and Multimodal Capabilities

• Image Generation and Editing
  • Using Gemini for creative tasks like generating images from text (DALL·E-like capabilities).
  • Image captioning and object detection.
• Combining Text and Image Models
  • Multimodal learning and how Gemini supports text-image interaction.
  • Developing apps that leverage both text and image inputs/outputs.

Module 4: Integrating Google Gemini with Google Services

• Integration with Google Search and Google Assistant
  • Enhancing search capabilities with Gemini’s NLP features.
  • Building voice assistants with Gemini.
• Google Cloud Integration
  • Using Gemini on Google Cloud for scalable AI solutions.
  • Leveraging Google BigQuery and AI for advanced data analytics.

Module 5: Real-World Applications and Case Studies

• Creative and Marketing
  • Using Gemini for ad copy generation and creative content.
  • Enhancing personalization with AI (for e-commerce, content platforms).
• AI in Healthcare and Finance
  • Predictive models for healthcare using Gemini’s multimodal features.
  • Gemini in financial modeling and fraud detection.

Module 6: Deployment, Ethics, and Security

• Deploying Google Gemini Models
  • Using Google Cloud Functions and Google AI Platform for deployment.
  • Serverless deployment for AI models.
• Ethical Considerations in AI
  • Understanding Google’s AI principles for fairness and transparency.
  • Managing model bias and ensuring accountability.