Overview

This course introduces the essentials of Gemini AI and Vertex AI, blending architectural insights with hands-on coding, multimodal development, and intelligent agent creation. Designed to give you both theoretical foundations and practical experience, it explores how Google’s most advanced AI systems are transforming software development, data analysis, and real-world applications. Through guided lessons and demonstrations, you’ll learn to work with Gemini’s multimodal architecture, leverage APIs for text and vision, build smarter apps with AI-driven code generation, and design intelligent agents on Vertex AI. You will also explore advanced model tuning, grounding techniques, and deployment strategies to create reliable, production-ready AI solutions. By the end of this course, you will be able to: • Understand Gemini’s multimodal architecture, APIs, and core capabilities. • Implement Gemini for text, vision, and code tasks, including function calling and document understanding. • Apply prompt engineering strategies and best practices for code generation, optimization, and testing. • Develop multimodal applications using Gemini Live API and natural language-to-database techniques. • Explore Vertex AI foundations, model garden, and Google’s foundation models (Gemini, Imagen, Veo). • Build and enhance intelligent agents with the Agent Development Kit and task-specific prompt guidance. • Tune, evaluate, and optimize Gemini and Vertex AI models using LoRA, QLoRA, and evaluation metrics. • Deploy AI systems with strategies to balance cost, latency, throughput, and performance. This course is ideal for developers, data scientists, and AI practitioners who want to build next-generation applications powered by Google Gemini AI and Vertex AI. A basic understanding of Python and machine learning will be helpful, but no prior experience with Gemini or Vertex AI is required. Join us to explore the cutting edge of multimodal AI and discover how to build smarter, more reliable applications with Gemini and Vertex AI!

Syllabus

Gemini AI Essentials: Architecture, APIs & Core Capabilities

Learn Gemini’s multimodal architecture, differences between Pro and Ultra models, and how it compares with other LLMs. Explore the evolution of multimodal AI, Google AI Studio, and setting up the Gemini API for text and vision. Gain skills in structured outputs, function calling, document understanding, grounding, contextual anchoring, and fine-tuning models.

Building Smarter Apps with Gemini AI: Code, Prompts & Multimodal Power

Discover Gemini’s code generation capabilities with multilingual support, best practices, and AI-powered coding assistance. Learn prompt engineering in Google AI Studio for testing, optimization, and regex mastery. Explore multimodal development with OpenAI compatibility, natural language to SQL, document analysis, real-time streaming APIs, and starter apps.

Vertex AI Foundations & Intelligent Agent Development

Set up your Vertex AI environment, explore Model Garden, and examine Google’s foundation models like Gemini, Imagen, and Veo. Develop intelligent agents using the Agent Development Kit and Agent Engine, enhance them with tools, and apply task-specific prompts. Leverage generative AI for text, code, image, and video generation, and utilize grounding, translation, and AI-powered prompt writing tools.

Advanced Model Tuning, Evaluation & Deployment on Vertex AI

Apply tuning techniques to optimize Gemini, Imagen, and translation models, implement LoRA and QLoRA for efficiency, and migrate seamlessly from Google AI to Vertex AI using OpenAI libraries. Conduct evaluations with the Python SDK, define metrics, analyze results, and customize judge models for improved accuracy. Deploy generative AI models with scalable strategies, optimize cost, latency, and performance, and enhance efficiency through caching, batch inference, and throughput management.

Course Wrap-Up and Assessment

This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz.