Description
Google’s Gemini API with Python Master Course. Mastering Google’s Gemini API with Python course. Welcome to the age of Gemini. Use the 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. At the end of this journey, you will have mastered the Gemini Pro Vision API and be an LLM Accelerated Engineering expert, able to build groundbreaking and intelligent Python applications using the Gemini API. Get ready to be at the forefront of diverse AI innovation as we continually update this course with the latest developments and equip you with the skills you need to succeed in the future. This Google’s Gemini Pro Vision API with Python tutorial 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. Use the Gemini Pro Vision API with Python, Google AI Studio, and advanced recommendation tactics to stay one step ahead. In this course, you’ll learn through hands-on projects that help you apply what you’ve learned. You’ll also learn best practices and tips for communicating effectively with LLMs, such as using multiple examples, finding relevant background information, and exploring various agile engineering techniques. By the end of this course, you’ll 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 input using the Gemini Pro API and Python
- Answers to the flow model
- Generate text from image and text inputs using the 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 queries for any task
- You will learn how to use Streamlit to create web interfaces (frontends) for your LLM applications.
- 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 leverage the power of diverse AI for various 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 the Gemini API and authenticate with Gemini
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Create freeform 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 input using the Gemini Pro API and Python
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Generate text from image and text inputs using the 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 use Streamlit to create web interfaces (frontends) for your LLM applications.
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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 who want to develop free AI apps with Advanced AI (Google’s Gemini).
- Every tech geek is interested in the most groundbreaking technology of this decade.
Details about Google’s Gemini API with Python master course
Headlines of the course on 2/2024
Prerequisites for the Google Gemini API with Python Master Course
- Basic Python programming experience is required.
- The Gemini API is only available in certain regions worldwide. Please check if Gemini supports your region before signing up.
Course pictures
Sample video of the course
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1.9GB