DevSecOps Fundamentals
- DevSecOps Infrastructure for CI/CD
- DevSecOps Principles and Practices
- Secure Software Development Lifecycle
- Teams Training for Cybersecurity Awareness
Scientific Software Infrastructure
- CI/CD Tools and Infrastructure for HPC
- Scaling CI/CD to HPC Systems
- Overcoming CI/CD Challenges
- Dependency Management and Software Configuration
- Code Management Templates
- ML Model Management and Deployment
- Containerization
Software Development for Scientific Applications
- Scientific Software Development Challenges
- Coding for Graphics Processing Units (GPUs)
- Integrating Open-Source Software (OSS)
- Migrating Existing Software to Cloud Platforms
- Software Security “Best” Practices
- Sustainable Software “Best” Practices
- Picking the “Best” Software Tools for Your Software
- Metrics to Determine Health of Your Software
AI and Machine Learning in Software Development
- Role of AI in Scientific Software Development
- Data and Model Curation for Machine Learning Workloads
- Current Applications and Limitations of AI in Government Labs
- 3–5-Year Strategies for Embracing AI/LLM
- Hosting On-Prem, Open-Source LLMs
HPC System Management
- System Management and Outage Recovery
- Optimizing Jobs for HPC Systems
- Architectural and Operational Strategies
- Cluster Monitoring
Cross-Facility and Hybrid Computing
- Cloud-HPC Integration
- Hybrid Architectures
- Software Portability and Reproducibility
- Scaling Software for Multiple Platforms
- Secure and Sustainable Cross-Facility Workflows
Team Building and Management
- Building Successful Technical Teams
- Research Software Engineering (RSE) as a Career
- Mentoring and Sourcing Talent
- Agility in Team Dynamics
- Bridging the Gap Between Junior and Senior Engineers
Software Engineering Research and Innovation
- Incorporating Human-Centered Design in Engineering Workflows
- Technical Advancements in Software Engineering (e.g. Autonomy, VR/AR, IoT, Robotics)
- Test Driven Development
Scientific Data Management
- Metadata Management
- Research Data Lifecycle
- Data Platforms and Governance
- AI-Ready Data
- Data Centric Computing/Data Discovery