In this video, we show you how to build a multimodal AI application using Gemini 2.0, Google’s cutting-edge AI model. We explore long context windows, multimodal inputs (text, images, audio, video, PDFs), and the powerful Gemini API to create a local YouTube content creator tool.

Resources & Tutorials
Solution Notebook: https://colab.research.google.com/drive/1vPUCAJkkpiYQdR7c7LacBmrc3ZSK-Y6h?usp=sharing#scrollTo=g8Y8YX7zg_qR
Start Learning with DataCamp: https://bit.ly/4hFUdvk
Get Started with your new in-browser AI-powered notebook, DataLab: https://bit.ly/3QkbK04
Meri Nova DataFramed Podcast Episode: https://www.datacamp.com/podcast/did-genai-kill-nlp
Gemini 2.0 Pricing: https://ai.google.dev/pricing#2_0flash
Gemini 2.0 Flash Thinking Experimental: A Guide With Examples: https://www.datacamp.com/blog/gemini-2-0-flash-experimental
Building Multimodal AI Application with Gemini 2.0 Pro: https://www.datacamp.com/tutorial/building-multimodal-ai-application-with-gemini-2-0-pro
Gemini 2.0 Flash: Step-by-Step Tutorial With Demo Project: https://www.datacamp.com/tutorial/gemini-2-0-flash
DeepSeek R1 Local RAG Video Tutorial: https://youtu.be/hOsZzcMYMLI
Deepseek R1 Fine-Tuning Tutorial: https://youtu.be/qcNmOItRw4U
DeepSeek R1 RAG Chatbot Written Tutorial: https://www.datacamp.com/tutorial/deepseek-r1-rag

Chapters
00:00 Introduction – Why Google’s Gemini 2.0 Deserves More Attention
00:26 Key Features of Gemini 2.0 for Developers
00:51 Insanely Long Context Windows Explained
01:10 Multimodal Capabilities of Gemini 2.0
01:30 Built-in Reasoning and Utility Tools
01:49 Why Google’s AI is Underrated
02:12 Testing Gemini 2.0 Pro
02:33 Building a Multimodal Application
03:01 Sponsor Message – Datacamp
03:26 Setting Up the Development Environment
04:10 Installing Required Packages
05:53 Importing Libraries and Dependencies
06:39 Getting Access to the Gemini API
08:31 Running a Basic Prompt with Gemini 2.0
09:11 Understanding Streaming vs Non-Streaming Output
13:07 Token Counting and Model Behavior Modifications
14:49 Adjusting Model Parameters (Temperature, Top-p, etc.)
18:41 Safety Filters and Content Restrictions
24:40 Conversational AI – Creating a Chatbot with Gemini
29:39 Multimodal Capabilities – Images
32:48 Audio Processing with Gemini
36:40 Document Processing and Long Context Windows
40:11 Why Long Context Eliminates the Need for RAG
43:07 Testing PDF Summarization with Gemini
47:07 Video Analysis with Gemini
50:04 Extracting Insights from YouTube Videos
52:01 Building a YouTube Content Automation App
56:00 Automating YouTube Chapter Generation
01:04:05 Automating Video Titles and Descriptions
01:10:00 Building the Full App with Gradio
01:18:46 Final Demo of the Multimodal App
01:21:07 Limitations and Improvements
01:22:29 Final Thoughts and Next Steps

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#Gemini2 #GoogleAI #MultimodalAI #AIContentCreation #YouTubeAutomation #Gradio #AIWorkflow #ContentAutomation #GeminiAPI #MachineLearning #ArtificialIntelligence #ai

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