AI-Assisted .NET Cloud-Native Engineering Corporate Training
Turn .NET expertise into AI-assisted cloud-native delivery, with teams shipping secure services faster.
Give your enterprise teams the cloud-native skills that turn .NET experience into production delivery. Edstellar's AI-Assisted .NET Cloud-Native Engineering corporate training, from a corporate training company your teams can trust, helps developers build microservices with AI-assisted workflows, deploy to Kubernetes, and control cost. Delivered as hybrid instructor-led sessions with hands-on labs, every program is customized to your stack, roles, and goals.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build an AI-assisted cloud team
The Edstellar CLOUD-NATIVE ENGINEERING Capability Model
Diagnose Cloud Readiness
Assess your team's .NET, cloud, and AI-tooling skills to map the gaps this program will close.
Standardize Engineering
Set one shared standard for .NET microservices, APIs, and AI-assisted coding practices.
Practice in Real Labs
Rehearse with hands-on labs: containers, Kubernetes, pipelines, and AI-assisted workflows.
Measure Capability Lift
Re-benchmark skills with lab assessments and reports that show your team's progress.
Scale Across Teams
Roll the same standard out across batches, teams, and locations without losing quality.
Need more than one program?Get a group quote
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Program Overview: What is AI-Assisted .NET Cloud-Native Engineering?
AI-Assisted .NET Cloud-Native Engineering is a 36-hour hands-on program for .NET developers and cloud teams modernizing applications for the cloud. Across eight modules, participants learn cloud-native .NET foundations, AI-assisted development workflows, microservices and API design, and data, messaging, and resilience patterns. The program closes with containers, Kubernetes, CI/CD, observability, security, cost control, and reliability engineering for production-grade systems.
Training is lab-driven: seven guided labs mirror the work of building cloud-native services, from AI-assisted code generation to Kubernetes deployment through CI/CD pipelines. Instructors coach each team through debugging, architecture choices, and production-readiness checks, with feedback at every stage. Learners practice resilience patterns, observability setup, and cost controls on realistic workloads. The program culminates in a six-hour capstone where participants design, build, and deploy an end-to-end cloud-native .NET application.
Cloud teams must ship faster without breaking production, yet many .NET teams lack repeatable patterns for microservices, containers, and AI-assisted development. Ad-hoc adoption leads to fragile deployments, weak observability, and rising cloud costs. This program replaces guesswork with disciplined practice: AI-assisted workflows that speed coding without sacrificing quality, and cloud-native patterns proven in production.
Teams design, build, containerize, and deploy an AI-assisted .NET microservice system, then defend their architecture and cost decisions. They return with patterns their whole team can copy, for Kubernetes, CI/CD, and resilience.
Every session pairs live instruction with guided labs on real .NET services, so learning sticks through doing. Your team practices the workflows it owns: APIs, messaging, Kubernetes deploys, and hardening. By the final capstone, participants have designed, built, and deployed a working system. They leave with tested patterns, reviewed code, and the judgment to keep improving long after the program ends.
What's Included in this Workshop for Your Enterprise Teams
- 1
Customized .NET Curriculum
Tailored to your stack, services, and levels.
- 2
Hands-On Guided Labs
Practical labs on APIs, containers, and pipelines.
- 3
AI-Assisted Workflows
Pair-programming techniques your team keeps.
- 4
Expert-Led Reviews
Instructor feedback on code and architecture.
- 5
Capstone Build
Deploy a full system in the final module.
- Customized .NET Curriculum: Tailored to your stack, services, and levels.
- Hands-On Guided Labs: Practical labs on APIs, containers, and pipelines.
- AI-Assisted Workflows: Pair-programming techniques your team keeps.
- Expert-Led Reviews: Instructor feedback on code and architecture.
- Capstone Build: Deploy a full system in the final module.
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
AI-Assisted .NET Cloud-Native Engineering Course Topics and Program Outline
An instructor-led program of 8 modules across 36 hours: foundations, AI-assisted development, microservices, resilience, Kubernetes with CI/CD, observability and security, reliability labs, and a full capstone build.
Built by Edstellar with cloud-native engineering expertise
Built by engineers who ship .NET microservices in production, shaped around your stack and use cases.
We benchmark your team's .NET, cloud, and AI-tooling skills before training, so every lab targets your real gaps.
Live instruction builds foundations in cloud-native patterns and AI-assisted .NET development.
Guided hands-on labs across microservices, Kubernetes, resilience, and pipelines build real fluency.
Reliability drills and a capstone build deploy a full system, proving skills transfer to production.
From first container to capstone deployment in 36 hours.
Delivered as
Delivered hybrid across 36 hours of instructor-led sessions and supervised labs. Cohorts practice on production-style environments, and content adapts to your stack.
Map a .NET workload to cloud-native patterns and set up the lab environment.
learna)Cloud-native principles for .NET teams
b).NET runtime and hosting models
c)Container-ready application design
d)Twelve-factor patterns in .NET
Use an AI assistant to generate and refactor a .NET feature, then review every line.
practicea)AI coding assistants in the .NET workflow
b)Prompting for code generation and review
c)AI-assisted refactoring and testing
d)Responsible use of AI-generated code
Split a .NET monolith into services with versioned APIs behind a gateway.
practicea)Decomposing monoliths into services
b)Designing versioned REST APIs
c)Service contracts and API gateways
d)Inter-service communication patterns
Add messaging and resilience patterns, then run failure drills against the services.
practicea)Cloud data stores for .NET workloads
b)Messaging with queues and events
c)Retry, timeout, and circuit-breaker patterns
d)Chaos drills on resilient services
Containerize a .NET app, deploy it with Helm, and build a CI/CD pipeline with gates.
practicea)Containerizing .NET applications
b)Kubernetes deployments and services
c)Helm charts and configuration
d)Building CI/CD pipelines for .NET
e)Pipeline gates and release strategies
Instrument services, apply API security controls, and set cost guardrails.
practicea)Metrics, logs, and traces in .NET
b)Dashboards and alerting basics
c)Securing APIs and service identity
d)Cost monitoring and guardrails
Load-test and tune .NET services, then document failure modes and capacity plans.
applya)Load testing .NET services
b)Profiling and performance tuning
c)Failure-mode analysis drills
d)Capacity planning for services
Design, build, containerize, and deploy a full AI-assisted .NET system for instructor review.
applya)Capstone architecture review
b)Building the service mesh
c)Full pipeline and deployment
d)Instructor review and hardening
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Seven outcomes your team practices in labs and proves in the capstone, from AI-assisted coding to production deployment.
Build cloud-native .NET services
Design services that scale, recover, and deploy cleanly on cloud infrastructure.
Use AI coding assistants
Generate, refactor, and test code with AI tools while keeping full ownership of quality.
Design resilient microservices
Apply retry, timeout, and circuit-breaker patterns that keep systems responsive under failure.
Deploy with containers and CI/CD
Containerize .NET apps, run them on Kubernetes, and ship through automated pipelines.
Secure services and control cost
Apply security controls and cost guardrails across the delivery lifecycle.
Observe and fix live systems
Instrument services with metrics, logs, and traces, then diagnose issues fast.
Deliver a capstone build
Ship a working cloud-native system reviewed by expert instructors.
Teams that Benefit from this AI-Assisted .NET Cloud-Native Engineering Group Training
This group-based training serves the engineering teams that build, ship, and run .NET services in the cloud. Content adapts to each cohort's role and experience, so every group practices the workflows it owns, from code to cluster.
Ship cloud-native .NET services with AI-assisted speed.
Developers learn to pair AI assistants with solid engineering practice, turning faster output into reliable services their teams can maintain and evolve.
Workflow friction
- AI-generated code that nobody fully reviews
- Monoliths that resist independent deployment
- Inconsistent coding and review standards
How the program helps
- Prompt recipes for .NET code generation
- Ownership checks for AI-assisted output
- Shared standards for service design
Practice use cases
- AI pair programming
- API contract design
- Container build labs
- Code review drills
Run .NET workloads on Kubernetes with confidence.
Platform engineers practice containerizing .NET applications, operating Kubernetes clusters, and building pipelines that keep delivery fast and safe.
Workflow friction
- Manual deployments that slow every release
- Cluster configs drifting across environments
- Pipelines with weak gates and no rollback plan
How the program helps
- Helm-based deployment patterns that scale
- Pipeline templates your teams reuse
- Environment parity from dev to production
Practice use cases
- Kubernetes deploy labs
- Helm chart authoring
- CI/CD pipeline builds
- Rollback rehearsals
Build resilient services that survive real traffic.
Application teams work through messaging, data, and resilience patterns hands-on, so their services stay responsive when dependencies fail.
Workflow friction
- Cascading failures from one bad dependency
- Messaging designs that lose or duplicate events
- No playbook for dependency outages
How the program helps
- Retry and circuit-breaker implementations
- Event-driven designs matched to use cases
- Failure drills that build real muscle memory
Practice use cases
- Resilience pattern labs
- Messaging design sessions
- Chaos drill exercises
- API versioning practice
Standardize delivery across teams and services.
Architects and DevOps specialists align on service boundaries, observability, security controls, and cost guardrails that hold across the estate.
Workflow friction
- Service boundaries that shift per team
- Observability gaps across microservices
- Cloud bills growing faster than usage
How the program helps
- Reference architectures teams can copy
- Cost guardrails built into pipelines
- Security controls applied by default
Practice use cases
- Observability setup labs
- Cost guardrail design
- Security control reviews
- Architecture decision records
One program, tuned to your team's stack, roles, and delivery maturity.
Prerequisites: This program suits developers, platform engineers, architects, and DevOps specialists who work with .NET services. Familiarity with C# and basic cloud concepts helps, but no prior AI tooling experience is needed. Every cohort's labs adapt to the team's stack and experience, so beginners and advanced engineers both progress.
.NET Developer to Cloud-Native Engineer
Each skill maps to the modules that teach it, so your team sees exactly where the 36-hour program takes them.
One program that grows with .NET careers, from foundations to confident cloud-native practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Delivery is planned around your team's schedule and locations. Start with a pilot group and scale up, with timing agreed to fit release calendars and business priorities.
Hybrid Training
Instructor-led sessions blend live teaching with supervised hands-on labs, so your team applies concepts immediately.
- Live demos with Q&A
- Guided labs per module
- Group pacing with peers
- Instructor capstone reviews
Onsite Team Workshops
Bring the program to your office for focused team delivery.
- Instructors work with your cohort on your stack, with labs tuned to your environment and delivery challenges.
Live Virtual Sessions
Join live sessions from anywhere.
- The same program, labs, and reviews, delivered over Zoom or Teams with full interaction.
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, goals, and timeline, and we will send a tailored proposal with program options and commercial terms for your review.
Yes. A short discovery discussion helps us understand your stack, skill levels, and goals so we recommend the right program shape.
Yes. Live virtual sessions run over Zoom or Teams with the same instructor-led content, labs, and reviews as onsite delivery.
Yes. Onsite delivery brings instructors to your location, with labs tuned to your environment and team workflows.
The program runs 36 hours across 8 modules. We can extend pacing or emphasize modules to match your team's priorities.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
AI-assisted .NET cloud-native engineering builds on solid C# skills. Your developers learn C# and .NET first, then use AI coding tools to build cloud-native .NET services, run them on containers and Kubernetes, and make sure AI-generated code stays secure.
Why Choose Edstellar as Your AI-Assisted .NET Cloud-Native Engineering Training Provider
Edstellar works as your training partner for cloud capability: practitioner trainers, customized labs, and a proven methodology that takes teams from assessment to measured results.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every program is customized to your stack, services, and skill levels, so labs mirror your real work.
Proven Methodology
A five-step capability model moves your team from diagnosis to measured, scalable results.
Practice-Based Learning
Hands-on labs and a capstone build turn concepts into skills your team uses daily.
Expert Trainers
Learn from practitioners with deep .NET and cloud delivery experience in production.
Global Scale
Programs run across your offices and time zones with one consistent curriculum and standard.
Measurable Outcomes
Assessments, lab reviews, and progress reports show the capability lift to your stakeholders.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
AI-Assisted .NET Cloud-Native Engineering Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request AI-Assisted .NET Cloud-Native Engineering Training for Your Team
Request a proposal for your team. Share your .NET stack, learner levels, and preferred schedule in a discovery discussion, and we will design a tailored training plan with dates and commercial terms.