Getting Started with Windsurf AI

Module 1: Introduction to Windsurf AI

⏳ 0.5 hours

• Topics: Overview of Windsurf AI, use cases, and installation.

• Hands-on: Install the Windsurf package, explore example repositories, and verify your setup.

Module 2: Data Ingestion & Preprocessing

⏳ 1 hour

• Topics: Loading CSV, JSON, and text into Windsurf; basic cleaning and normalization.

• Hands-on: Build a data ingestion pipeline that reads a CSV, filters rows, and outputs a cleaned DataFrame.

Module 3: Prompt Chains & LLM Integration

⏳ 1 hour

• Topics: Defining prompt templates, chaining multiple LLM calls, and handling responses.

• Hands-on: Create a prompt chain that summarizes text, translates it, and extracts key entities.

Module 4: Custom Functions & Branching Logic

⏳ 1 hour

• Topics: Embedding Python functions as nodes, conditional branches, loops, and error handling.

• Hands-on: Implement a pipeline that routes items based on sentiment score using a conditional branch.

Module 5: Monitoring, Visualization & Logging

⏳ 0.5 hours

• Topics: Built-in dashboard, log capturing, metrics collection, and basic visualization.

• Hands-on: Run a sample workflow and view its execution graph, logs, and performance metrics.

Module 6: Deployment & Reuse

⏳ 0.5 hours

• Topics: Packaging workflows as CLI commands, exporting to Docker, and sharing pipelines.

• Hands-on: Package your pipeline into a CLI tool and run it against new data inputs.

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