Software Engineering Courses

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

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

Foundations of Prompt Engineering for Generative AI

Master prompt engineering for generative AI—learn to craft effective prompts, optimize AI outputs, and apply skills across industries like healthcare, education, and business, with no coding experience required.

• Coursera
• 7 weeks, 1 hour a week
• 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

(ISC)²

Foundations of Security Engineering

Master the principles of systems security engineering, risk management frameworks, and secure system life cycles to build resilient, trustworthy systems and advance your cybersecurity career.

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

Packt

Foundations of Software Architecture and Monolithic Systems

Explore software architecture fundamentals and microservices design patterns to build scalable, maintainable systems through hands-on e-commerce application development.

• Coursera
• 7 hours 26 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

Data Engineering on AWS - Foundations

Learn essential data engineering concepts, AWS services, and tools for building, automating, and securing data solutions. Explore CI/CD, IaC, serverless applications, cost optimization, and authentication on AWS.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Edureka

Data Engineering and Spark Foundations for AI and ML

Master data engineering with Databricks, Apache Spark, and Lakehouse architecture to build scalable AI/ML pipelines using PySpark, Unity Catalog, and batch or real-time ingestion workflows.

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

Packt

Data Engineering with Databricks Cookbook

Master data engineering with Apache Spark, Delta Lake, and Databricks. Build scalable pipelines, optimize performance, manage streaming data, and implement DataOps/DevOps practices for real-world applications.

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

Edureka

Data Engineering Workflow Orchestration with Airflow

Master Apache Airflow to design, build, and deploy production-ready data pipelines with operators, sensors, TaskFlow API, CI/CD integration, and advanced DAG optimization techniques.

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

Coursera

Data Modeling & Warehousing Fundamentals in Data Engineering

Master data warehousing essentials: design star schemas, apply normalization, use SQL window functions, configure replication, and implement incremental loading for scalable enterprise analytics.

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

LearnKartS

Data Engineering Foundations on AWS

Discover AWS data engineering fundamentals through hands-on experience with S3, EBS, EFS, ETL pipelines, SQL, and data modeling to build job-ready cloud skills for in-demand roles.

• Coursera
• 5 hours 21 minutes
• Self-Paced
• Paid Course

IBM;  LearnQuest

IBM COBOL Software Development Practices

Learn core IBM COBOL software development practices, including code documentation, working with existing code, quality assurance, technical support, and project management for enhanced programming skills.

• Coursera
• 15 hours 36 minutes
• Self-Paced
• Paid Course

IBM;  LearnQuest

IBM COBOL Software Development Process

Learn IBM COBOL software development, covering lifecycle concepts, systems analysis, design, structured coding, and Agile methodologies for mainframe computing environments.

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