What will you learn in Getting Started with Windsurf AI Course
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Understand Windsurf AI’s architecture and core features for building AI-driven workflows.
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Install and configure Windsurf AI in your Python environment.
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Ingest and preprocess data, including text, CSV, and JSON sources.
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Design and execute pipelines that chain prompts, LLM calls, and custom Python functions.
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Implement branching logic, error handling, and conditional flows in Windsurf workflows.
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Visualize and monitor your AI workflows, capturing logs and performance metrics.
Program Overview
Module 1: Introduction to Windsurf AI
0.5 hours
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Topics: Overview of Windsurf AI, use cases, and installation.
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Hands-on: Install the Windsurf package, explore example repositories, and verify your setup.
Module 2: Data Ingestion & Preprocessing
1 hour
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Topics: Loading CSV, JSON, and text into Windsurf; basic cleaning and normalization.
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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
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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
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Topics: Embedding Python functions as nodes, conditional branches, loops, and error handling.
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Hands-on: Implement a pipeline that routes items based on sentiment score using a conditional branch.
Module 5: Monitoring, Visualization & Logging
0.5 hours
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Topics: Built-in dashboard, log capturing, metrics collection, and basic visualization.
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Hands-on: Run a sample workflow and view its execution graph, logs, and performance metrics.
Module 6: Deployment & Reuse
0.5 hours
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Topics: Packaging workflows as CLI commands, exporting to Docker, and sharing pipelines.
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Hands-on: Package your pipeline into a CLI tool and run it against new data inputs.
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Job Outlook
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Workflow automation specialists and AI engineers with pipeline orchestration skills are in rising demand.
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Roles such as AI Workflow Engineer, Automation Developer, and Data Pipeline Architect typically command $90K–$130K USD.
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Expertise in tools like Windsurf AI complements knowledge of Airflow, Prefect, and Kubeflow for a well-rounded automation profile.
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Companies in tech, finance, healthcare, and e-commerce seek talent to streamline AI-driven business processes.
Last verified: March 12, 2026
