English | Size: 1.9 GB
Genre: eLearning
Harness the Power of Google’s Gemini Pro Vision LLM for Cutting-edge Applications: Project-based Learning with Python
What you’ll learn
Gain a deep understanding of the Google Gemini API with Python
Install Python SDK for Gemini API and authenticate to Gemini
Create freeform prompts with Gemini Pro Vision in Google AI Studio
Use variables and parameters in Gemini prompts in Google AI Studio
Generate text from text inputs using Gemini Pro API and Python
Stream model responses
Generate text from image and text inputs using Gemini Pro Vision API and Python
Control how the model generates responses using Gemini API generation parameters: temperature, top_k, top_p, stop sequences and more
Build custom chat conversational agents
Master prompt-engineering techniques for LLMs
You’ll learn how to create web interfaces (front-ends) for you LLM apps using Streamlit
Streamlit: main concepts, widgets, session state, callbacks
Learn how to use Jupyter AI efficiently
Welcome to the Gemini Era. Embrace the Gemini Pro Vision API with Python and Become a Pioneer in Multimodal AI
Prepare to master Google’s Gemini Pro Vision API with Python and unleash the power of Google’s most capable AI family into your applications.
By the end of this journey, you’ll master the Gemini Pro Vision API and become a pro in LLM prompt engineering, equipped to create groundbreaking and intelligent Python applications using the Gemini API.
Get ready to join the forefront of multimodal AI innovation as we constantly update this course with the latest advancements, equipping you with the skills to thrive in the future.
This course on Google’s Gemini Pro Vision API with Python covers everything you need to know about the Gemini family of models and about effective prompt engineering for LLMs.
Become a pioneer shaping the technological landscape and reap the benefits of being an early adopter.
In today’s world, AI is the key to unlock unprecedented productivity.
Embrace the Gemini Pro Vision API with Python, Google AI Studio, and advanced prompting tactics to stay ahead of the curve.
In this course, you’ll learn by doing, with practical projects that will guide you in applying what you learn.
You’ll also discover the best practices and tips for effective prompting for LLMs, such as using few examples, finding relevant context information, and exploring different prompt 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, the most advanced and versatile AI tool from Google
Create freeform and dynamic prompts with Gemini Pro Vision in Google AI Studio
Generate text from text inputs using Gemini Pro API and Python
Stream model responses
Generate text from image and text inputs using Gemini Pro Vision API and Python
Control how the model generates responses using Gemini API generation parameters: temperature, top_k, top_p, stop sequences and more
Build custom chat conversational agents
Master the art of prompt engineering for LLMs and create effective and natural language queries for any task
You’ll learn how to create web interfaces (front-ends) for your LLM apps using Streamlit
Learn how to use Jupyter AI efficiently
This course is suitable for anyone who wants to learn how to use the Gemini Pro Vision API and Google AI Studio, and how to leverage the power of multimodal AI for various applications.
If you are ready to take your skills to the next level and master one of the most cutting-edge technologies in AI, enroll in this course today and start your journey to multimodal AI mastery!
Who this course is for:
Python programmers who want to integrate the Google’s Gemini models into their applications.
Programmers looking to develop AI apps with cutting-edge AI (Google’s Gemini) for free.
Any technical person interested in the most disruptive technology of this decade.
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