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Mastering Claude Code & Anthropic AI Course Details
 

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Batch Date: June 11th @7:00PM

Faculty: Mr. Maha (18+ Yrs of Exp,..)

Duration: 30 Days

Venue :
DURGA SOFTWARE SOLUTIONS,
Flat No : 202, 2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91 - 8885252627, 9246212143, 80 96 96 96 96

 Syllabus:

Mastering Claude Code
& Anthropic AI

Module 1 : Claude Code — The Core Skill

  • Install & configure Claude Code with VS Code IDE
  • Codebase exploration — map, understand, and document any project
  • Prompting mastery — Beginner to Expert level prompt patterns
  • Refactoring with design patterns (Strategy, Factory, Observer)
  • Git workflow automation — branch, commit, PR in one session
  • MCP servers & plugin ecosystem integration

Module 2 : Claude AI & Anthropic Foundations

  • Large Language Models (LLMs) explained for developers
  • Prompt engineering fundamentals — context, specificity, chaining
  • Claude Projects, Artifacts, and Chat workflows
  • Claude Cowork — AI productivity platform for teams
  • PDF, Excel, CSV analysis with Claude AI
  • Business automation use cases and templates

Module 3 : Java Architecture & Project Structure

  • Factory pattern — clean object creation without coupling
  • Observer pattern — event-driven architecture in Java
  • Spring Boot 3 production-grade project structure

Module 4 : GitHub Flow

  • Branch naming conventions: feature/ fix/ chore/ docs/
  • Atomic commits with Conventional Commits format
  • Quality PR descriptions — what changed, why, how to test
  • Code review process with Claude Code assistance
  • Squash and merge strategy to main
  • Complete flow cycle automated in one Claude Code session

Module 5 : CI/CD Pipeline

  • GitHub Actions workflow YAML from scratch
  • Matrix builds, secret management, branch triggers
  • JaCoCo coverage gate — fail pipeline if coverage < 80%
  • SonarQube static analysis: code smells, security hotspots
  • Maven build lifecycle: compile → test → package → verify
  • Fail-fast strategy and pipeline debugging with Claude Code

Module 6 : Docker

  • Multi-stage Dockerfile: builder
  • Docker Compose: app + PostgreSQL + Redis local dev stack
  • Image layering and caching strategies for fast builds
  • Tag and push Docker image to AWS ECR registry
  • Container security scanning with Trivy / Snyk

Module 7 : Deploy on AWS Cloud

  • AWS ECR — Elastic Container Registry for storing images
  • AWS ECS Fargate — serverless container deployment
  • Task definitions, services, and cluster configuration
  • Application Load Balancer + health checks setup
  • CI/CD → AWS auto-deploy on merge to main
  • EC2 deployment for advanced use cases

Module 8 : Capstone Project

  • Phase 1 (Days 22–23):
    Architecture Decision Record + OpenAPI spec + domain model
  • Phase 2 (Days 24–26): Spring Boot microservice + test coverage
  • Phase 3 (Days 27–28): Dockerfile + GitHub Actions pipeline + AWS ECS deploy
  • Phase 4 (Days 29–30): Dry run + live 30-min demo presentation
  • Incident simulation: instructor injects a live bug, you debug with Claude Code
  • Portfolio-ready deployed project as your Day 30 graduation deliverable

Tools Covered

  • Everything you need for Modern AI-Assisted Enterprise Java Development — from Code to Cloud.

1. Tool : Claude Code
Category : AI Dev CLI
Purpose : Agentic AI tool — the core skill of this program

2. Tool : Claude AI / Cowork
Category : AI Platform
Purpose : Anthropic AI ecosystem for productivity & automation

3. Tool : GitHub + GitHub Flow
Category : Version Control
Purpose : Team workflow: branch, PR, review, merge, deploy

4. Tool : GitHub Actions
Category : CI/CD
Purpose : Pipeline automation: build, test, quality gates, deploy

5. Tool : Java + Spring Boot
Category : Backend
Purpose : Enterprise Microservice Framework

6. Tool : Maven / Gradle
Category : Build Tool
Purpose : Compile, test, package, dependency management

7. Tool : Docker
Category : Containers
Purpose : Multi-stage images, Docker Compose local stack

8. Tool : AWS ECR + ECS Fargate
Category : Cloud Deploy
Purpose : Container registry + serverless cloud deployment

9. Tool : VS Code +
Category : IDE
Purpose : With Claude Code extension — inline diffs and approval

10. Tool : JUnit 5 +
Category : Testing
Purpose : Unit + integration tests, mocking framework

11. Tool : SonarQube
Category : Quality
Purpose : Coverage gates (80%+) + static code analysis

12. Tool : Trivy / Snyk
Purpose : Container security scanning


Why Join This Program

  • Real Claude Code sessions — not slides and theory. Every day starts with a live practical sesions, then you build it yourself in the lab.

  • 1 hour/day fits your full-time job. Designed for busy working professionals — short, focused, high-impact daily sessions.

  • Actual AWS deployment — not just local. You deploy a real Java app to AWS ECS Fargate and see it live in the cloud.

  • Learn the full Anthropic AI ecosystem: Claude AI, Claude Code, Claude Cowork — the complete professional toolkit.

  • Live interactive batch. Ask questions in real time. Direct instructor access. Not a pre-recorded course.