The Complete Guide To Google Gemini (With Gemini Ultra!)

Google's game-changing AI, Gemini, is here! This course unlocks its power for tech enthusiasts & developers. Master Gemini (free to use!) & build cutting-edge applications.

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Course curriculum

1. Introducing Gemini: Google's GPT killer?
2. Course update: Gemini ultra & Gemini advanced
3. Course welcome and overview
4. The 3 flavors of Gemini
5. Course pathways
6. Google Gemini API vs. Google vertex Gemini API???
1. Google Bard is now Google Gemini
2. Signing up
3. Text prompts
4. Drafts
5. Image prompts
6. Fact checking with the "Google-It" button
7. Managing chats
8. Reading messages out loud
9. Streaming responses
10. Your conversations are not private
11. Content guidelines and rules
1. Location specific prompting
2. Awesome youtube video features
3. Bard & Match equations
4. Visualizing data with Bard
5. Google hotels & Google flights with Bard
6. Google workspace extension
7. Bard and Google drive
8. Using Bard to draft emails
9. Searching Google with Bard
10. Generating and exporting code with Bard
1. Big news on Gemini ultra
2. What about the Gemini ultra API?
3. Gemini ultra Vs. Gemini pro performance
4. Comparing model performance: Code related questions
5. Comparing model performance: Math, Chemistry and Biology questions
1. Prompt guidelines
2. Prompt recipe: The input
3. Prompt recipe: The context
4. Prompt recipe: Examples
5. Specifying output format
6. Image prompting tips
1. Introducing Google AI studio
2. Signing for Google AI studio
3. AI studio interface
4. Gemini API pricing
5. Creating freeform prompts
6. Using test inputs
7. Creating multiple test inputs
8. Writing structured prompts with examples
9. Importing examples from spreadsheet
10. Previewing prompts
11. Writing chat-bot prompts
12. Creating a job interview coach chat bot
1. Working with Gemini pro vision
2. Using test inputs with images
3. Structured prompts with images
4. Chat prompts with images
5. Using multiple images in a prompt
6. Image prompting tips and strategies
1. Are models random or deterministic?
2. Temperature
3. Max tokens
4. Stop sequences
5. Safety settings
6. Top K
7. Top P
8. Comparing temperature, top K and top P
1. Let's get coding
2. Testing our API key with curl
3. First python requests
4. Listing models & response objects
5. Prompt formatting
6. Streaming responses
7. Counting tokens
8. Generation configuration
9. Structured prompt demo
10. Per-generation parameter configuration
11. Modifying safety settings
12. Passing images to the API
13. Complex image prompt
14. Chat prompting with the SDK
15. Images with PIL
1. Testing our API keys with CURL
2. Writing text prompts requests
3. Examining the response object & prompt formats
4. Passing parameters to the API
5. Configuring safety settings
6. Writing image prompt requests
7. Writing chat-based prompts
8. Providing initial history to chat sessions
9. Streaming responses
10. A more complex prompt: Multimodal book recommender
11. Counting tokens
1. Signing up for vertex AI
2. The vertex AI prompt studio
3. Gemini pro vision prompt studio
4. Prompting with videos
5. Installing the vertex SDK
6. Text prompts with vertex SDK
7. Parameters with vertex SDK
8. Safety settings with vertex SDK
9. Image prompting with vertex SDK
10. Video prompting with vertex SDK
11. Chat prompting with vertex SDK