Software Engineering Courses

EDUCBA

Function Point Analysis for Software Estimation

Master Function Point Analysis to estimate software size, measure effort, calculate costs, and benchmark projects using standardized FPA techniques for accurate, technology-independent planning.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Foundations of AI Engineering

Discover Python programming, data science tools, and mathematical foundations essential for AI engineering through hands-on projects and real-world applications.

• Coursera
• 12 hours 54 minutes
• Self-Paced
• Paid Course

Coursera

Foundations of Embedded Software Design

Discover microcontroller architecture, real-time constraints, and design patterns to build efficient embedded systems through hands-on exercises and real-world examples.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Coursera

Foundations of Open Generative AI Engineering

Discover the principles and architectures of open generative AI models, from licensing frameworks to performance trade-offs, and develop skills to select the right model for your needs.

• Coursera
• 2 hours 27 minutes
• Self-Paced
• Paid Course

Packt

Fundamentals of Analytics Engineering

Master analytics engineering from data ingestion to visualization, covering ELT workflows, cloud warehousing, dbt, and Tableau while building scalable, reliable data platforms with real-world applications.

• Coursera
• 20 hours 23 minutes
• Self-Paced
• Paid Course

Foundations of Site Reliability Engineering Training

Master Site Reliability Engineering with hands-on labs using Prometheus, Grafana, Jenkins, and Kubernetes. Learn SLIs, SLOs, chaos engineering, CI/CD, and incident management to build resilient cloud systems.

• Coursera
• 22 hours 22 minutes
• Self-Paced
• Paid Course

Packt

Generative AI & Prompt Engineering for Design & Content

Master generative AI and prompt engineering to transform content creation, design visuals, automate workflows, and scale multimedia campaigns using Canva, Adobe Firefly, and Runway ML.

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

Whizlabs

Generative AI & Prompt Engineering

Master Generative AI concepts, prompt engineering techniques, and AWS services like Amazon Bedrock and Amazon Q to build intelligent AI-powered applications with RAG architectures and foundation models.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Geospatial Data Engineering

Master geospatial data engineering by building scalable pipelines on AWS and GCP, processing real-time GPS streams, analyzing climate datasets, and creating ESG reports for career-ready outcomes.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Get Started with AI Prompt Engineering

Discover how to craft effective AI prompts that enhance team workflows and decision-making in agile environments while learning responsible AI integration practices.

• Coursera
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

GitLab CI/CD: Automating Software Delivery

Master GitLab CI/CD for hardware development, automating testing, validation, and EDA deployment strategies through hands-on pipeline creation and DevOps best practices.

• Coursera
• 3 hours 38 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

GitHub: Advanced Prompt Engineering for Code

Master advanced GitHub Copilot techniques—multi-turn interactions, iterative refinement, and context control with @workspace and #file markers—to produce production-quality code efficiently.

• Coursera
• 3 hours 14 minutes
• Self-Paced
• Paid Course

KodeKloud

Chaos Engineering

Master chaos engineering principles and hands-on AWS fault injection techniques to build resilient systems across EC2, Aurora, Fargate, EKS, and multiple availability zones.

• Coursera
• 5 hours 18 minutes
• Self-Paced
• Paid Course

Infosec

Certified Secure Software Lifecycle Professional (CSSLP)

Master secure software development practices and prepare for the CSSLP certification by learning risk management, security architecture, testing strategies, and supply chain security across the SDLC.

• Coursera
• 10 hours 8 minutes
• Self-Paced
• Paid Course

Fred Hutchinson Cancer Center

Smarter Scientific Software Development with GitHub Actions

Master GitHub Actions for automated scientific workflows, enhancing reproducibility in biomedical research through continuous integration and deployment techniques.

• Coursera
• 10 hours 20 minutes
• Self-Paced
• Paid Course