Training
Practical workshops for modern engineering teams.
Kognitiv Solutions designs focused technical training sessions that help teams build practical skills in DevOps, Kubernetes, cloud architecture, software architecture, and AI-assisted engineering.
Training should help teams apply, not just understand.
Technical teams need more than slides. They need practical examples, real-world scenarios, implementation patterns, and space to discuss trade-offs.
- Practical
- Focused
- Interactive
- Adapted to the team level
- Connected to real engineering situations
Workshop catalog
DevOps and Delivery
Introduction to DevOps
Build a shared understanding of DevOps principles, delivery flow, feedback loops, and practical team habits.
Docker Fundamentals
Learn how containers work, how to build images, and how teams use Docker in local and delivery workflows.
CI/CD with GitHub Actions
Create practical pipelines for build, test, quality checks, deployments, and release automation.
Cloud and Kubernetes
Kubernetes Fundamentals
Understand pods, deployments, services, configuration, and the operating model behind Kubernetes.
Cloud-Native Application Delivery
Connect containers, environments, deployment strategy, observability, and operational readiness.
Architecture
Software Architecture for Delivery Teams
Practice architecture decision-making, trade-off analysis, modularity, and communication with delivery teams.
API and Integration Design
Explore practical API boundaries, contracts, versioning, integration styles, and reliability concerns.
AI for Engineering
AI-Assisted Engineering Workflows
Use AI tools for coding, review, testing, documentation, and delivery while maintaining engineering quality.
Responsible AI Adoption for Engineering Teams
Define team practices for privacy, security, review, governance, and sustainable AI-assisted development.
Training formats
Short Workshop
2 to 3 hours focused on one topic, concept, or practical team discussion.
Half-Day Workshop
A deeper session with examples, exercises, and time for team-specific questions.
Full-Day Training
A structured day with guided learning, practical scenarios, and implementation-oriented exercises.
Custom Program
A tailored sequence of workshops built around your team, stack, goals, and enablement plan.
How workshops are built
Understand the team context
Clarify goals, current practices, skill levels, tools, constraints, and the business outcome behind the training.
Select the right level
Tune the depth for developers, leads, architects, platform teams, or mixed technical audiences.
Use practical examples
Anchor the material in realistic systems, delivery workflows, architecture decisions, and implementation patterns.
Include discussions and exercises
Create space for questions, trade-offs, hands-on practice, and team-specific scenarios.
Provide follow-up recommendations
Leave the team with next steps, learning paths, and practical ways to apply the workshop after the session.
Who benefits
- Teams adopting DevOps
- Teams moving to Kubernetes
- Developers learning cloud-native architecture
- Teams introducing AI into engineering workflows
- Organizations preparing internal technical enablement programs
- Teams needing alignment around architecture and delivery practices
Extend training with hands-on practice through Skillify.
Some training topics can be supported by Skillify so learners can keep practicing after the workshop through guided exercises, applied tasks, and structured reinforcement.
Learn about Skillify