Description
Master course Google’s Gemini API with Python. Mastering Google’s Gemini API with Python course. Welcome to the age of Gemini. Use Gemini Pro Vision API with Python and pioneer multimodal AI Get ready to master Google’s Gemini Pro Vision API with Python and unleash the power of Google’s most powerful AI family in your applications. By the end of this journey, you will have mastered the Gemini Pro Vision API and become a professional in the LLM Accelerated Engineering, equipped to create groundbreaking and intelligent Python applications using the Gemini API. Get ready to join the forefront of multifaceted AI innovation as we constantly update this course with the latest developments, equipping you with the skills to thrive in the future. This tutorial on Google’s Gemini Pro Vision API with Python covers everything you need to know about the Gemini family of models and effective rapid engineering for LLM. Be a pioneer in shaping the technology landscape and reap the benefits of being an early adopter. In today’s world, artificial intelligence is the key to unlocking unprecedented productivity. Embrace the Gemini Pro Vision API with Python, Google AI Studio, and advanced recommendation tactics to stay ahead of the curve. In this course, you will learn by doing, with hands-on projects that will guide you in applying what you have learned. You’ll also discover best practices and tips for communicating effectively to LLMs, such as using multiple examples, finding relevant background information, and exploring various agile engineering techniques. At the end of this course, you will be able to:
- Learn how to use Google’s Gemini Pro (Vision) API with Python, Google’s most advanced and versatile AI tool.
- Create free and dynamic commands with Gemini Pro Vision in Google AI Studio
- Generating text from text inputs using Gemini Pro API and Python
- Flow model answers
- Generate text from image and text inputs using Gemini Pro Vision API and Python
- Control how the model generates responses using the Gemini API generation parameters: temperature, top_k, top_p, stop sequence, and more.
- Create custom chat agents
- Master the art of rapid engineering for LLM and create effective and natural language requests for any task
- You will learn how to create web interfaces (front-ends) for your LLM applications using Streamlit.
- Learn how to use Jupyter AI effectively
This course is suitable for those who want to learn how to use Gemini Pro Vision API and Google AI Studio and how to use the power of multi-faceted AI for different applications.
What you will learn in Google’s Gemini API with Python Master course
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Gain a deep understanding of the Google Gemini API with Python
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Install the Python SDK for Gemini API and authenticate to Gemini
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Create free-form queries with Gemini Pro Vision in Google AI Studio
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Use variables and parameters in Gemini queries in Google AI Studio
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Generating text from text inputs using Gemini Pro API and Python
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Flow model answers
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Generate text from image and text inputs using Gemini Pro Vision API and Python
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Control how the model generates responses using the Gemini API generation parameters: temperature, top_k, top_p, stop sequence, and more.
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Create custom chat agents
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Mastering rapid engineering techniques for LLM
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You will learn how to create web interfaces (front-ends) for your LLM applications using Streamlit.
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Streamlit: Basics, Widgets, Session Status, Calls
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Learn how to use Jupyter AI effectively
This course is suitable for people who
- Python programmers who want to integrate Google’s Gemini models into their applications.
- Developers looking to develop free AI apps with Advanced AI (Google’s Gemini).
- Every techie is interested in the most disruptive technology of this decade.
Details of Google’s Gemini API with Python Master course
Headlines of the course on 2/2024
Prerequisites of the Google’s Gemini API with Python Master course
- Basic Python programming experience is required.
- The Gemini API is only available in certain regions worldwide. Before enrolling, please verify that Gemini supports your region.
Course images
Sample video of the course
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
1.9 GB
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