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Master Full-Stack Development with AI Integration, Microservices & Cloud Deployment
Build an intelligent customer support system with context awareness, sentiment analysis, and automated ticket routing.
Create a sophisticated recommendation system using vector databases and machine learning for personalized user experiences.
Your final capstone project: a complete AI-powered SaaS application with authentication, payments, admin panel, and cloud deployment.
Deep dive into advanced React patterns, Redux Toolkit for state management, Context API, custom hooks, and Next.js for server-side rendering and static generation.
Implement JWT authentication, refresh tokens, role-based access control, OAuth integration, and secure session management for enterprise applications.
Integrate OpenAI, Anthropic Claude, and Google Gemini APIs. Build conversational interfaces, implement streaming responses, and manage AI model costs effectively.
Master Pinecone, Weaviate, or Qdrant for vector storage. Implement semantic search, RAG systems, and build recommendation engines with embeddings.
Learn microservices architecture, Docker containerization, Docker Compose for local development, and Kubernetes basics for orchestration.
Deploy applications to AWS (EC2, S3, RDS), Render for backend services, and Vercel for frontend. Implement CI/CD pipelines and monitoring.
Build your complete AI SaaS application, implement payment processing, admin dashboards, analytics, and deploy to production with monitoring and logging.
12 Weeks + 3 Major Projects + Cloud Deployment + Certification