This learning path is for developers looking to leverage the cutting-edge Google Gemini AI models. From foundational concepts to advanced applications, this learning path covers prompt engineering, multimodal capabilities, API integration, and best practices for implementing Gemini in various projects. Explore the full spectrum of Gemini models and learn to design and implement sophisticated AI-powered applications using Google Gemini.
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Master Gemini-specific prompt engineering techniques.
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Develop proficiency with multimodal prompting.
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Gain hands-on experience with Gemini APIs.
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Apply Gemini to solve real-world development problems.
Courses
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1
Prompt Engineering with Gemini (2024)1h 2mPrompt Engineering with Gemini (2024)
By: Denys Linkov
This course explains how to take advantage of Gemini, Google’s user-facing generative AI model.
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2
Multimodal Prompting with Google's Project Gemini15mMultimodal Prompting with Google's Project Gemini
By: Ray Villalobos
Explore the future of prompting, enterprise and AI development with Google’s family of next generation, multimodal artificial intelligence models: Gemini Nano, Pro, and Ultra.
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3
Exploring Million-Token Models with Google Gemini Pro 1.518mExploring Million-Token Models with Google Gemini Pro 1.5
By: Ray Villalobos
Explore Google Gemini Pro 1.5's groundbreaking million-token capacity, reshaping the future of AI prompting and understanding.
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4
Getting Started with the Google Gemini API1h 8mGetting Started with the Google Gemini API
By: Fikayo Adepoju
Unlock the power of Google’s artificial intelligence for efficiency in your projects.
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5
Programming with the Gemini Flash API19mProgramming with the Gemini Flash API
By: Ray Villalobos
Explore the capabilities and learn to use Google's low latency high-performance Gemini Flash API.
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6
Google Gemini for Developers (2024)2h 12mGoogle Gemini for Developers (2024)
By: Lynn Langit
Learn best practices, patterns and processes for developers and DevOps teams who design and implement LLM-based applications using Google Gemini.
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7
Advanced Gemini for Developers (2024)1h 27mAdvanced Gemini for Developers (2024)
By: Lynn Langit
Learn patterns and scenarios for designing and implementing LLM-based applications using Google Gemini.
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8
Building with Google Gemini Advanced and Ultra15mBuilding with Google Gemini Advanced and Ultra
By: Ray Villalobos
Discover Google Gemini's ecosystem: from Gemini Pro to Advanced and Ultra, learn how they transform your workflows and improve everything from productivity to app development.
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9
Build an Image Captioning Tool for Visually Impaired Users with Gemini1h 7mBuild an Image Captioning Tool for Visually Impaired Users with Gemini
By: Fikayo Adepoju
Find out how artificial intelligence can help you make better web experiences for visually impaired users.
Instructors
Denys Linkov
Head of ML @ Wisedocs | ML Lecturer @ U of T
Ray Villalobos
Prompt Engineer, Vibe Code Enthusiast and AI Nerdist. LinkedIn Top Voice. Staff Instructor at LinkedIn, Instructor at Stanford University.
Fikayo Adepoju
Author at LinkedIn | Technical Writer | Software Developer
Lynn Langit
Author of 30 LinkedIn Learning GenAI/Cloud/Data courses with over 5 million student views