Course – AI-Powered Development
AI-Powered Backend Development — Claude Code & Cursor (Series 01)
4 Days / 16 Hrs Intermediate / Advanced Classroom / Live Virtual
Duration
4 Days / 16 hrs
Level
Intermediate / Advanced
Format
Classroom / Live Virtual
Domain
Backend · SCM Platform
Training Methodology
Learning by Doing
Every session in this program is built around hands-on execution, not passive slides — you leave having built something, not just watched a demo.
01
Explore
Hands-on labs from Day 1 — real or sandboxed environments, not slide decks.
02
Experiment
Work against scenarios that mirror your actual stack.
03
Engage
Solve real business problems in every session, not toy examples.
04
Apply
Capstone exercises tied to your team’s actual workflows.
Who This Is For
What You’ll Be Able to Do
- Build a complete, working SCM backend using AI-assisted development
- Apply reusable prompt, context, and spec engineering patterns for backend code
- Work hands-on with polyglot persistence across PostgreSQL, MongoDB, and Redis
- Build, register, and compose custom MCP servers to extend Claude Code with enterprise tools
Prerequisites
- Working knowledge of Node.js or Python
- Basic understanding of REST APIs and relational/NoSQL databases
Curriculum
Day 1
Foundations & Engineering Practices
- Claude Sonnet fundamentals and tool selection (Claude Code, Cursor, Claude.ai)
- Agentic AI for backend development
- Prompt, Context & Spec Engineering — the RISE framework, context management
- API-contract-first development with OpenAPI
Labs: Environment setup, first Node.js/Python code generation, building a complete CRUD API via natural language, prompt/context/spec engineering practice.
Day 2
Requirements, Architecture & Core Microservices
- AI-driven requirements extraction, ADRs, C4 and sequence diagram generation
- Multi-file generation workflows
- Code quality and security in AI-generated code
Labs: Requirements gathering, user stories & API contracts, system architecture design; building the Inventory (Node.js/Express), Order Processing (Node.js/Express), and Supplier Management (Python/FastAPI) services.
Day 3
Integration, Data Layer & API Testing
- API Gateway patterns — authentication/authorization (JWT, API keys, OAuth2), rate limiting, routing
- Database integration — polyglot persistence across PostgreSQL, MongoDB, Redis; caching strategies
- Event-driven architecture — message queue patterns, idempotency, event sourcing basics
- AI-generated test strategy — unit, integration, and API test hierarchy
Labs: API Gateway setup, database integration layer, message queue & event-driven communication, full API testing suite (Jest, Supertest, Postman, test data generation).
Day 4
MCP Servers with Claude Code
- The MCP standard — Tools/Resources/Prompts primitives, transport modes, server lifecycle
- MCP architecture for enterprise backend systems — host/client model, security, registry patterns
- Claude Code + MCP in practice — configuration, tool discovery, multi-server composition, debugging
Labs: MCP environment setup; building the Inventory Tool Server (Node.js), Order Management Tool Server (Python), and Supplier Intelligence Server (Node.js); multi-server composition testing; production hardening (auth, remote deployment, observability).
Delivery Details
- Delivered as classroom or live virtual instructor-led — scheduled around your team
- Labs are illustrative and may vary by trainer approach, participant profile, and tool access
- 20% Lecture / 80% Hands-On Labs, built around a sample SCM domain project