Application Engineering — Design, Build & Scale Modern Enterprise Apps
Master the full lifecycle of enterprise application engineering: architecture, microservices, secure APIs, cloud deployment, CI/CD, observability, and AI integration. Ideal for engineers, architects, and tech leaders building mission-critical systems in Finance and Energy.
Program Snapshot
- • System design: DDD, event-driven, and microservices patterns
- • Implement resilient services with FastAPI / Node and Kubernetes
- • Secure, observable, and cost-optimized cloud deployments
- • Industry labs: Finance loan origination, Energy asset management
Overview
Application Engineering blends design and delivery skills needed to build reliable, scalable, and secure enterprise applications. This course teaches architectural decision-making, implementation best practices, operational readiness, and how to integrate data and AI services into production systems.
Audience
Software engineers, platform teams, solution architects, and DevOps practitioners working on large-scale systems.
Why this course
Move from ad-hoc projects to engineered platforms: reduce downtime, accelerate delivery, and improve security and observability.
Outcomes
Delivery-ready system blueprints, deployed reference apps, CI/CD pipelines, and operational runbooks.
Dual Tracks — Architecture & Implementation
Architecture & Design Track (Strategic)
- Domain-Driven Design (DDD) and bounded contexts
- Microservices vs modular monolith decisions
- Event-driven architectures, streams, and CQRS
- API-first design, contract testing, and versioning
- Scalability, resilience patterns, and capacity planning
Implementation & Operations Track (Technical)
- REST/GraphQL APIs with FastAPI and Node.js
- Container orchestration with Kubernetes (EKS/GKE/AKS)
- CI/CD pipelines, infra as code (Terraform), and multi-env promotion
- Security: auth, secrets, encryption, and compliance patterns
- Observability: logging, tracing (OpenTelemetry), metrics, and SLOs
Hands-on Labs — Industry Projects
Practical labs produce deployable systems, runbooks, and documentation suited for enterprise use.
Finance — Loan Origination Platform
Design and implement an event-driven loan origination system with microservices, API gateway, idempotent processing, data stores, and audit trails. Includes security and compliance checklist.
Energy — Asset Management Service
Build a scalable backend to ingest IoT telemetry, apply preprocessing pipelines, and expose management APIs with role-based access and monitoring dashboards.
AI Integration — ChatOps & Document Automation
Integrate LangChain/OpenAI with core apps to automate support workflows; secure model access and monitor usage and costs.
DevOps — Multi-env CI/CD & IaC
Implement Terraform templates, GitOps, blue/green deployment strategies, and automated rollback policies. Include runbooks for incident response.
Deliverables & Outcomes
- System architecture blueprints and trade-off analysis
- Deployed reference applications with CI/CD pipelines
- Operational runbooks, SLO/SLA definitions, and incident playbooks
- Security and compliance checklist tailored to Finance & Energy
- Yukti Certified Application Engineer credential
Placement in Yukti Mastery Path
Application Engineering builds on Full Stack Development and feeds into AI Engineering, ML Products & Platforms, and Platform Strategy — enabling end-to-end enterprise solutions.
| Stage | Program | Focus |
|---|---|---|
| 1 | Full Stack Development | End-to-end app engineering |
| 2 | Application Engineering | Architecture, scale, and ops |
| 3 | AI Engineering | MLOps & deployment |
Pricing & Delivery
Self-paced
Recorded lessons, reference templates, and labs — access for 1 year.
Cohort (Instructor-led)
12-week live cohort with architecture reviews, mentor sessions, and enterprise readiness checks.
Enterprise Advisory
Tailored workshops, private labs, architecture co-design, and on-site training.
Get Started — Enroll or Request a Proposal
Tell us about your organization and goals — we'll respond with a tailored syllabus, pricing, and timeline.