Google Gemini Large Language Model API Essentials - Python Integration for Beginners
Unlock the power of Google's Gemini API with Python in our beginner-friendly course.
Dive into the Google Gemini Large Language Model API, with a specific focus on integrating its capabilities using Python. Starting from basic API concepts and Python programming, the course gradually introduces more complex features of the Gemini API, enabling participants to build sophisticated language-based applications. Through interactive lessons and practical assignments, learners will gain a solid foundation in both the theoretical and practical aspects of API usage.
This incredible bundle is structured to ensure a comprehensive understanding through step-by-step guidance and concludes with a practice exam to test the learners’ ability to integrate the Gemini API in real-world Python projects. All source code included!
Your Instructor
Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start01 Connect to Google's Gemini API with Python
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Start01b Install Gemini and Add Secret API Key to Colab (3:04)
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Start02 Exploring Gemini API - Model Selection and Capabilities
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Start02b List content generation models with Gemini Python SDK (1:57)
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Start03 Leveraging the Gemini API for Text Generation
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Start03b Send a request to Gemini with Python SDK (3:51)
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Start04 Multimodal Content Generation with Gemini API
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Start04b Caption an image with Gemini Python SDK (4:41)
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Start05 Mastering Conversations with Gemini's Chat API and Python
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Start05b Build chat session with Gemini Python SDK (2:23)
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Start06 Maximizing Model Performance - Token Count Management in the Gemini API
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Start06b Count tokens with Gemini Python SDK (1:50)
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Start07 Harness the Power of Text Embeddings with Gemini API
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Start07b Build embeddings with Gemini Python SDK (3:01)