Software Engineering Courses

Strategic Software Testing

Weigh manual, interactive, and automated testing approaches against each other and build an adaptable testing strategy suited to your application's development context.

• Coursera
• 6 hours 46 minutes
• Self-Paced
• Paid Course

CompTIA A+ Core 2 V15: Software Troubleshooting

Troubleshoot Windows 10 and 11 errors with recovery and diagnostic tools, apply a six-step process, and resolve PC, Android, and iOS security issues.

• Coursera
• 6 hours 4 minutes
• Self-Paced
• Paid Course

Using GenAI in Modern Software Development

Use generative AI across the development lifecycle: analyze unfamiliar codebases, write and debug code with prompts, and generate technical documentation using GitHub Copilot and ChatGPT.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Essentials of Prompt Engineering

1063 ratings at Coursera

Craft and refine effective prompts for varied use cases, applying zero-shot, few-shot, and chain-of-thought techniques while identifying prompt engineering risks.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Career Certificate

Generative AI Engineering with LLMs

1111 ratings at Coursera

Build and deploy LLM-based NLP apps with Hugging Face transformers, PyTorch, RAG, and LangChain, covering tokenization, embeddings, attention, fine-tuning, and prompt engineering.

• Coursera
• 12 weeks, 4 hours a week
• Self-Paced
• Paid Course
• 7 courses

Engineering Vibration I: Introduction: Single-Degree-of-Freedom Systems

This course is an introduction to exploring the topic of engineering systems undergoing vibration.

• edX
• 5 weeks, 3-8 hours a week
• Self-Paced
• Free Certificate

Software Testing Simple (Software Quality Assurance QA)

5 ratings

Easiest practical Testing course on the market that will explain you what is QA and testing and what QAs are doing!

• Udemy
• 3 hours 9 minutes
• Self-Paced
• Free Online Course

Open Source Software Development Methods

1543 ratings at Coursera

Learn to contribute productively to open source projects: collaboration best practices, encouraging diversity, choosing licensing models, continuous integration, and hosting projects on GitHub.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Engineering Mindset

Automotive Engineering - How Cars Work

5 ratings

See how a car’s drivetrain and electrical components work, from differentials and manual transmissions to starters, alternators, and batteries.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Micah Johns

Bard AI Prompt Engineering Guide

5 ratings

Use Bard prompts across everyday research and planning, including a demonstration of turning ideas into Midjourney prompts.

• YouTube
• 1 hour 57 minutes
• Self-Paced
• Free Video

Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

5 ratings

Learn to design effective prompts for ChatGPT and GPT-4 using prompt-engineering best practices, zero- and few-shot techniques, and strategies for addressing hallucinations.

• freeCodeCamp
• Self-Paced
• Free Video

ChatGPT Prompt Engineering for Developers

2501 ratings at Coursera

Go beyond the chat box: use the OpenAI API to write systematic prompts for summarizing, inferring, transforming, and expanding text, and build a custom chatbot.

• Coursera
• 1 hour 5 minutes
• Self-Paced
• Free Online Course

Career Certificate

Open Source Software Development, Linux and Git

3098 ratings at Coursera

Learn to work productively in open source communities: apply open source development methods, navigate the Linux environment and developer tools, and manage distributed development with Git.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Introduction to Data Engineering

3712 ratings at Coursera

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Data Engineering, Big Data, and Machine Learning on GCP

4415 ratings at Coursera

Entwickle Datenverarbeitungssysteme auf der Google Cloud Platform, erstelle Batch- und Streaming-Pipelines mit Dataflow, analysiere BigQuery-Datasets und trainiere TensorFlow-Modelle mit Cloud ML.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses