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Building Multimodal RAG Applications with Google Gemini

Conclusion

Explore a comprehensive recap of the Google Gemini course, reviewing key skills in multimodal AI and RAG applications. Understand how to apply your knowledge to future projects and stay current with ongoing advancements in Google Gemini technology.

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Congratulations! You have successfully completed the “Google Gemini: Advanced AI Applications” course. You did a great job. You’ve been on a challenging journey of AI technologies with Google Gemini and have gained a comprehensive understanding and implementation skills along the way.

Key takeaways

Let’s recap what you’ve learned throughout the course:

  • Getting Started
    We started with the course overview to get an idea of our journey. Then, we learned the basics of Google Gemini, its workflow, comparison with other models. We also learned about the Gemini APIs and its setup to get started with the implementation details.

  • Content Generation Using Gemini Models
    Here, we moved to the implementation part for different scenarios using the Gemini models. We had practical experience in text-to-text and image-to-text generation for real-world ...