Masterclass on Google AI: Gemini, Vertex AI, AI Studio

Explore the basics of artificial intelligence, why it matters, and how narrow AI powers smart assistants, email filters, and personalized recommendations, while contrasting it with general AI.

Explore Google Gemini, a large language model chatbot that leverages Google Search and integrates with Gmail, Drive, Docs, Sheets, Meet, and YouTube, with free and Gemini Advance plans.

Explore Google Gemini in action, testing prompts, generating code explanations, and creating images and spreadsheets. Discover Gemini's multimodal prompts, image analysis, and text-to-speech features.

Google Gemini's coding use cases, from generating and simplifying palindrome Python code to adding comments, building a Todo REST API, and creating a Flutter frontend.

Explore why generative AI is not always accurate or deterministic, how input repetition yields different outputs, and how parameters like top k, top p, and temperature affect determinism and creativity.

Explore how to use the Google Flights extension in Gemini to fetch real-time flight info, compare options, and plan a visit with packing suggestions.

Showcase Google hotels by listing mid-range hotels in Delhi for 13th May to 20th May for two adults, then filter price ₹1000–₹2000 and view options on Booking.com and Skyscanner.

Use the Google Maps extension to fetch hotels, show the distance from the airport with directions, and explore Delhi tourist spots via multiple extensions.

Navigate Google Workspace inside Gemini to access Gmail, Docs, and Drive; summarize emails, find documents, generate outlines and replies, and export insights for your personal journey.

Explore how to use the YouTube extension to discover videos about generative AI and Google Cloud, view video details, and summarize or outline content with Gemini.

Learn to generate emails with Gemini inside Gmail, using prompts in the mail editor to create a warm follow-up with placeholders, bullet points, and refine options like formalise or shorten.

Explore how Google Docs uses Gemini to generate and refine a website redesign project outline, with prompts, summarization, tone tweaks, and insertions for planning, design, development, content creation, and testing.

Gemini inside Google Sheets creates templates for a budget tracker (income, fixed and variable expenses, saving, total) and a sales lead tracker (lead name, source, contact info, interest level, follow-up).

Explore image generation in Google Slides with Gemini by creating a minimalistic customer journey infographic and photorealistic bookstore visuals, selecting styles like vector art and providing image feedback.

Learn to use Gemini inside Google Meet to generate and apply custom backgrounds from prompts, adjust lighting and appearance, and toggle visual effects to reset.

Explore Google Cloud Vertex AI Studio, create a project, enable APIs, and access the Model Garden with Gemini, Imagine, Chirp, and Gemma for multimodal language, vision, and speech.

Explore text generation with Gemini large language models using free form and structured prompts, including text and code prompts, for senior Python interview topic generation.

Explore using Codey (Palm 2) model in Vertex AI to generate code with prompts, defaulting to Python, with JavaScript option, and see an IsPrime example from the Code Bison model.

Generate and test code with code chat bison model to build a basic flutter todo app, complete with a todo list, add dialog, and unit tests.

Explore translating text with a translation llm using Gemini 1.0, Pro 001, and TMT models, handling Japanese to English and other languages, plus code examples for Python, Node.js, and curl.

Highlight use cases of language models, such as summarizing articles and financial tables, generating titles and hashtags, and analyzing financial news with examples like HDFC Bank’s Q4 results.

Explore classification use cases of language models, including sentiment analysis with the Gemini model, and prompts for extraction, writing, and ideation; preview imagine model for image generation.

Explore the vision model in Vertex AI Studio to upload images, generate captions, and view top workplace use cases for AI chatbots, with optional generate image and edit image features.

Explore speech to text and text to speech in Vertex AI Studio, selecting voices, adjusting speed, uploading or recording audio, and downloading generated files.

Explore multimodal prompts with Gemini 1.5 Pro, handling images, video, audio, and documents. Learn practical use cases like extracting text, summarizing, translating, transcribing, and locating timestamps.

Shows how to run Python code inside Colab Enterprise to execute Gemini prompts in Vertex AI, with an open notebook and code options for Python, NodeJS, Java, and Curl.

Terminate the Jupiter notebook to save pennies by deleting it and confirming the deletion. Then, in Colab enterprise, delete the runtime before its expiration date.

Terminate the Jupyter notebook by selecting it, clicking delete, and confirming to save pennies. Then delete the Colab enterprise runtime before its expiration date to stay within budget.

Use Google AI Studio to test Gemini models and access the Gemini API key, cookbook, and prompt gallery. Understand Gemini API is paid, while AI Studio remains free for testing.

Compare free and pay-as-you-go pricing for Google AI Gemini, including rate limits and input/output costs for Gemini 1.5 Pro, its two models, and its potential cost advantage over ChatGPT-4.

Learn to use Google AI Studio to generate API keys, create prompts (free form, structured, chat), manage legacy models, and run prompts with Gemini vs Palm models and json output.

Generate a 5-day meal plan inspired by stir fried vegetables, grilled chicken, and greek salad using AI Studio and the Gemini model; include breakfast, snacks, and tips.

Learn to generate multi-language code via text input prompts, producing prime-check functions in python, javascript, go, and typescript with test examples.

Learn how to identify objects from multiple images by creating a text input prompt, adding images, and running to obtain a list of objects, and note the safety settings.

Learn to create and test structured prompts with input-output examples, import and export CSV files, and leverage Vertex AI Studio for multi-output prompts.

Enable the Gemini Code Assist API in a Google Cloud project, grant Cloud AI companion user and service usage viewer IAM roles, and use Gemini Code Assist in the IDE.

Install Gemini code assist in VS Code and connect to Google Cloud to enable do it AI, inline suggestions, and Gemini chat for code generation.

Discover how Gemini code assist explains Python code by annotating main.py in a trip planner project, generating inputs and code suggestions, and integrating accepted responses.

Explore generating Python code with Gemini code assist, building article agents for topic selection, research, and writing, plus inline code suggestions.

Explore using Gemini inside Android Studio for a Kotlin project, enabling code explanation and improvement suggestions through the Gemini chat interface after Google login.