Hands-On Practice with GitHub Codespaces Online Training Courses
Master today’s top programming languages and topics like data science and AI with LinkedIn Learning courses that include hands-on practice through seamless integration with GitHub Codespaces—a cloud-based development environment that lets you start learning on any machine in seconds. After completing your course, continue practicing your new skills by forking a course repo and creating a new codespace without having to install any additional software.
10,680Results for "Hands-On Practice with GitHub Codespaces"
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Complete Guide to SQL for Data Engineering: from Beginner to Advanced7h 11m
Complete Guide to SQL for Data Engineering: from Beginner to Advanced
By: Deepak Goyal
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Build with AI: SQL Agents with Large Language Models1h 6m
Build with AI: SQL Agents with Large Language Models
By: Rami Krispin
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Data Cleaning in Python Essential Training1h
Data Cleaning in Python Essential Training
By: Miki Tebeka
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Cloud Security for DevSecOps Engineers: From Security Models to API Protection2h 39m
Cloud Security for DevSecOps Engineers: From Security Models to API Protection
By: Damien Burks
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Python Standard Library Essential Training3h 46m
Python Standard Library Essential Training
By: Joe Marini
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Build with AI: AI-Powered Dashboards with Streamlit4h 51m
Build with AI: AI-Powered Dashboards with Streamlit
By: Megan Silvey
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Build with AI: LLM-Powered Data Analysis App with Python and Streamlit1h 35m
Build with AI: LLM-Powered Data Analysis App with Python and Streamlit
By: Maggie Ma
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Supercharge your coding agent with spec-driven development1m
Supercharge your coding agent with spec-driven development
From: Spec-Driven Development with GitHub Spec Kit
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Build SQL AI agents with large language models (LLMs)53s
Build SQL AI agents with large language models (LLMs)
From: Build with AI: SQL Agents with Large Language Models
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SQL agent architecture: LLM database integration design patterns4m
SQL agent architecture: LLM database integration design patterns
From: Build with AI: SQL Agents with Large Language Models
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Red30 sales dataset2m
Red30 sales dataset
From: Build with AI: SQL Agents with Large Language Models
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Storing API keys as environment variables3m
Storing API keys as environment variables
From: Build with AI: SQL Agents with Large Language Models
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Chat completion models3m
Chat completion models
From: Build with AI: SQL Agents with Large Language Models
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Working with LLM APIs4m
Working with LLM APIs
From: Build with AI: SQL Agents with Large Language Models
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Optimizing SQL prompts through context engineering for better query results4m
Optimizing SQL prompts through context engineering for better query results
From: Build with AI: SQL Agents with Large Language Models
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Working with LLMs locally4m
Working with LLMs locally
From: Build with AI: SQL Agents with Large Language Models
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Improve LLM results with context engineering3m
Improve LLM results with context engineering
From: Build with AI: SQL Agents with Large Language Models
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Building SQL prompt templates with reusable LLM query patterns5m
Building SQL prompt templates with reusable LLM query patterns
From: Build with AI: SQL Agents with Large Language Models
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Making prompts work across different LLMs3m
Making prompts work across different LLMs
From: Build with AI: SQL Agents with Large Language Models
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