GCP#1

Module 1: Logging into Google Cloud Console

Step 1: Sign in to Google Cloud

1. Open Google Cloud Console.
2. Sign in with your Google account.
3. If this is your first time, you might need to create a new project.

Step 2: Create a Google Cloud Project

1. Click on the project dropdown (top navigation bar).
2. Select New Project.
3. Give it a name (e.g., MyAIProject).
4. Choose a billing account (if applicable) and location.
5. Click Create.

Step 3: Enable Required APIs

1. Go to APIs & Services > Library.
2. Search for and enable:
   • Compute Engine API (for virtual machines)
   • AI & Machine Learning APIs (like Vertex AI)
   • Cloud Storage API (for storing data)
3. Go to IAM & Admin and ensure you have the necessary permissions.

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Module 2: Running an AI Project Using Ollama

Step 1: Set Up a Google Cloud VM

1. Navigate to Compute Engine > VM Instances.
2. Click Create Instance.
3. Choose a machine type:
   • n1-standard-2 (for small workloads)
   • n1-highmem-4 (for AI models)
4. Select Ubuntu 22.04 as the OS.
5. Allow HTTP and HTTPS traffic.
6. Click Create.

Step 2: Install Ollama on the VM

1. Connect to your VM via SSH:

   gcloud compute ssh my-instance-name --zone=us-central1-a
   

2. Install Ollama:

   curl -fsSL https://ollama.ai/install.sh | sh
   

3. Start Ollama:

   ollama serve &
   

4. Download an AI model:

   ollama pull deepseek-r1:1.5b
   

Step 3: Run AI Inference

1. Install dependencies:

   pip install langchain langchain-ollama
   

2. Create a Python script (app.py):

   from langchain_core.prompts import ChatPromptTemplate
   from langchain_ollama.llms import OllamaLLM
   
   template = """Question: {question}
   Answer: Let's think step by step."""
   prompt = ChatPromptTemplate.from_template(template)
   model = OllamaLLM(model="deepseek-r1:1.5b")
   chain = prompt | model
   response = chain.invoke({"question": "What is Mixture of Experts?"})
   print(response)
   

3. Run the script:

   python app.py
   

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Module 3: Creating an Angular Project

Step 1: Install Node.js and Angular CLI

1. Install Node.js (LTS version) from Node.js.
2. Install Angular CLI:

   npm install -g @angular/cli
   

Step 2: Create a New Angular Project

1. Create the project:

   ng new my-angular-app --style=scss
   

2. Navigate to the project folder:

   cd my-angular-app
   

Step 3: Add Angular Material

1. Install Angular Material:

   ng add @angular/material
   

2. Choose a theme (e.g., Indigo Pink).
3. Enable typography and animations.

Step 4: Create a Sample Component

1. Generate a component:

   ng generate component dashboard
   

2. Modify dashboard.component.html:

   <mat-toolbar color="primary">Welcome to My AI Dashboard</mat-toolbar>
   <button mat-raised-button color="accent">Click Me</button>
   

Step 5: Run the Angular App

ng serve --open

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