🔹 Session 1: Exploring Gemini 2.5 Model Family

Overview of the Gemini 2.5 architecture

Differences between Gemini 1.5 and 2.5

Performance improvements (reasoning, coding, multimodal capabilities)

Use cases: chatbots, code generation, RAG systems

Integration tips with your own apps (via API)

Gemini vs GPT comparison

🔹 Session 2: Hands-on with Google Cloud Console

Introduction to Google Cloud Platform (GCP)

Setting up a project

Creating & managing service accounts

Enabling billing and APIs

Accessing Gemini models via GCP (Vertex AI / Generative AI Studio)

Cloud Shell, IAM roles, and best practices for access control