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!