Advanced AI-Driven Full-Stack Cloud Architect Program

You can build high-performance server-side rendered web applications with strict TypeScript safety, robust state management, and optimized Core Web Vitals.

1. TypeScript deep dive: Generics, utility types, and strict type-checking90 min
   • Conditional types
   • Mapped types
   • Strict mode config
   • Utility types
   • Template literal types
   • Type narrowing patterns
2. Next.js App Router: Server Components (RSC) vs Client Components120 min
   • Server actions
   • Streaming SSR
   • Layout caching
   • Suspense boundaries
   • Parallel routes
   • Intercepting routes
3. State management: Zustand, React Query (TanStack Query) for server state120 min
   • Optimistic updates
   • Cache invalidation
   • Zustand stores
   • Query hydration
   • Mutation rollback
   • Infinite queries
4. Advanced CSS and UI: TailwindCSS, Shadcn/ui, and responsive layouts90 min
   • Tailwind configuration
   • Accessible components
   • Radix primitives
   • Responsive design tokens
   • CSS container queries
   • Design system tokens
5. Performance optimization: Code splitting, image optimization, and Core Web Vitals90 min
   • Dynamic imports
   • Next/image loader
   • Lighthouse audits
   • Bundle analyzer
   • Font optimization
   • Interaction to Next Paint (INP)
6. Front-end unit and integration testing with Vitest and Playwright90 min
   • Vitest configuration
   • React Testing Library
   • Mock Service Worker (MSW)
   • Playwright e2e tests
   • Visual regression testing
   • CI test execution

Hands-on project: Build an enterprise dashboard using Next.js App Router, TanStack Query for server state caching, and TailwindCSS with strict type checking and zero layout shift.

You can design resilient, event-driven backend microservices with Spring Boot 3, Redis caching layers, and Apache Kafka messaging.

1. Spring Boot 3.x architecture, dependency injection, and bean lifecycle120 min
   • Application context
   • Bean scopes
   • Custom configuration properties
   • AOT compilation
   • Spring Factories
   • Conditional annotations
2. RESTful API design, global exception handling, and validation90 min
   • ProblemDetails RFC 7807
   • Bean Validation API
   • Controller advice
   • API versioning
   • OpenAPI 3 generation
   • Content negotiation
3. Data persistence: Spring Data JPA, Hibernate, and liquidbase database migrations120 min
   • Entity mapping
   • N+1 query problem
   • Liquibase change sets
   • Optimistic locking
   • Dirty checking
   • Second-level cache
4. Caching strategies with Redis: Cache-aside, write-through, and cache eviction90 min
   • Lettuce client
   • RedisTemplate
   • TTL configuration
   • Distributed locks
   • Pub/sub messaging
   • Memory eviction policies
5. Asynchronous processing and event-driven architecture using Apache Kafka120 min
   • KafkaTemplate
   • @KafkaListener
   • Consumer groups
   • Offset management
   • Dead-letter queues
   • Idempotent consumers
6. Enterprise security with Spring Security 6, OAuth2, and JWT validation120 min
   • Security filter chain
   • JWT resource server
   • Method-level security
   • CSRF protection
   • CORS configuration
   • Password encoder tuning

Hands-on project: Implement a distributed payment processing service using Spring Boot 3, Redis cache-aside patterns, and Apache Kafka event streams with dead-letter queue handling.

You can architect scalable databases and distributed backend boundaries using robust indexing, sharding, and API gateway routing.

1. Relational databases: PostgreSQL indexing, query optimization, and connection pooling120 min
   • B-tree vs GIN indexes
   • EXPLAIN ANALYZE
   • HikariCP configuration
   • Partitioning
   • Write-ahead logging
   • Deadlock troubleshooting
2. NoSQL databases: MongoDB schema design, aggregation pipelines, and sharding90 min
   • Embedded documents
   • Lookup aggregation
   • Shard key selection
   • WiredTiger engine
   • Change streams
   • Index intersection
3. System design fundamentals: Horizontal vs vertical scaling, load balancing, and CAP theorem120 min
   • Consistent hashing
   • PACELC theorem
   • Leader election
   • Rate limiter algorithms
   • Circuit breaker pattern
   • Bulkhead isolation
4. API Gateway pattern, rate limiting, and service discovery with Consul90 min
   • Spring Cloud Gateway
   • Token bucket filter
   • Service registration
   • Health checks
   • Distributed tracing headers
   • Request rewriting
5. Data consistency patterns: Two-phase commit vs Saga pattern and event sourcing120 min
   • Orchestration-based Saga
   • Choreography-based Saga
   • Outbox pattern
   • Event sourcing store
   • Compensating transactions
   • Idempotency keys
6. Distributed transactions and eventual consistency in microservices90 min
   • Two-phase commit limits
   • Compensating actions
   • Distributed lock managers
   • Read-repair mechanisms
   • Conflict-free replicated data types
   • Isolation levels in distributed stores

Hands-on project: Tune slow PostgreSQL queries using execution plans, configure MongoDB sharding for high write throughput, and deploy an API gateway with rate limiting.

You can build production-ready LLM applications featuring RAG pipelines, vector search databases, and autonomous AI coding agents.

1. Introduction to LLMs, prompt engineering, and structured JSON outputs90 min
   • System prompts
   • Pydantic parsing
   • Temperature tuning
   • Token counting
   • Few-shot prompting
   • JSON mode validation
2. LangChain and LlamaIndex frameworks in Python (FastAPI integration)120 min
   • Runnable interfaces
   • Chain composition
   • Async FastAPI endpoints
   • Error recovery
   • Streaming responses
   • Custom callbacks
3. Retrieval-Augmented Generation (RAG): Document parsing, chunking, and embedding generation120 min
   • Recursive text splitting
   • HuggingFace embeddings
   • Hybrid search
   • Re-ranking
   • Parent-document retriever
   • Metadata enrichment
4. Vector databases: Storing and querying high-dimensional vectors in Pinecone and pgvector90 min
   • Cosine similarity
   • HNSW index config
   • Namespace management
   • Metadata filtering
   • Approximate nearest neighbor
   • Dimension reduction
5. Building AI Agents: Tool use, function calling, and memory management120 min
   • Tool definitions
   • ReAct loop pattern
   • Conversation buffer memory
   • Execution guardrails
   • Human-in-the-loop validation
   • Multi-agent delegation
6. LLM evaluation and observability with LangSmith and Phoenix90 min
   • RAG triad evaluation
   • Faithfulness metrics
   • Latency tracing
   • Token cost tracking
   • Prompt playground testing
   • Hallucination detection

Hands-on project: Build a FastAPI RAG service using LangChain, pgvector, and OpenAI API that parses internal documentation and answers complex technical queries with source citations.

You can provision immutable cloud infrastructure with Terraform, containerize applications with Docker, and manage Kubernetes clusters on AWS.

1. Containerization: Writing optimized multi-stage Dockerfiles90 min
   • Alpine base images
   • Build layers
   • Non-root users
   • Security scanning
   • Docker compose overrides
   • Healthcheck instructions
2. Infrastructure as Code (IaC): Provisioning VPC, RDS, and EC2 using Terraform120 min
   • State backends
   • Modules and variables
   • Resource dependency
   • Terraform plan
   • Remote state locking
   • Workspace management
3. Kubernetes (EKS) deep dive: Pods, Services, Ingress, ConfigMaps, and Secrets120 min
   • Deployment manifests
   • ClusterIP vs LoadBalancer
   • Ingress-nginx
   • External secrets
   • Persistent volume claims
   • Resource quotas
4. CI/CD Pipelines: Automating test and deployment with GitHub Actions90 min
   • Workflow syntax
   • Caching dependencies
   • OIDC AWS auth
   • Rolling updates
   • Matrix builds
   • Artifact signing
5. Monitoring and Observability: Centralized logging with Prometheus, Grafana, and Loki90 min
   • PromQL metrics
   • Grafana dashboards
   • Loki log scraping
   • Alertmanager
   • OpenTelemetry tracing
   • Custom service SLOs
6. Advanced Kubernetes networking and service mesh concepts with Istio90 min
   • Sidecar injection
   • Mutual TLS configuration
   • Virtual services
   • Destination rules
   • Traffic shifting
   • Gateway API implementation

Hands-on project: Write modular Terraform code to provision an AWS VPC, RDS instance, and EKS cluster, deploying multi-stage Dockerized microservices via GitHub Actions.

You can harden cloud-native applications for production with automated security scanning, blue-green deployment strategies, and incident response runbooks.

1. Zero-downtime deployments: Blue-green, canary, and feature flag architectures90 min
   • Argo Rollouts
   • Traffic splitting
   • Feature flag SDKs
   • Database schema backward compatibility
   • Automated rollback triggers
   • Canary analysis metrics
2. Application security hardening, vulnerability scanning, and secret management120 min
   • Trivy container scanning
   • HashiCorp Vault integration
   • OWASP Top 10 mitigation
   • Static application security testing (SAST)
   • Dependency audit pipelines
   • Network policies in Kubernetes
3. Disaster recovery, backup automation, and high availability topologies90 min
   • Multi-region database replication
   • Automated snapshot retention
   • Recovery time objective (RTO)
   • Recovery point objective (RPO)
   • Chaos engineering with Litmus
   • Failover testing
4. Performance tuning under load: JVM profiling and database query optimization120 min
   • Java Flight Recorder (JFR)
   • Garbage collection tuning
   • Connection pool sizing
   • Memory leak detection
   • Thread dump analysis
   • Locust load test profiling
5. Cost optimization and cloud resource finops engineering90 min
   • AWS spot instances
   • Kubernetes cluster autoscaler
   • Right-sizing EC2 and RDS
   • S3 lifecycle policies
   • Cost allocation tagging
   • FinOps dashboards
6. Incident response, on-call runbooks, and post-mortem engineering90 min
   • PagerDuty escalation policies
   • Error budget management
   • Blameless post-mortem templates
   • Root cause analysis
   • Runbook automation
   • Synthetic monitoring probes

Hands-on project: Configure a zero-downtime blue-green deployment pipeline on Kubernetes with automated Prometheus alerts and an incident response runbook.

You can navigate enterprise legacy migrations, enforce compliance standards like SOC 2 and GDPR, and manage multi-repo monorepo workflows.

1. Strangler fig migration pattern: Breaking down monolithic applications120 min
   • API proxy routing
   • Incremental data cutover
   • Dual writing strategies
   • Legacy system wrapping
   • Feature deprecation lifecycle
   • Risk mitigation planning
2. Enterprise compliance: SOC 2, GDPR, data residency, and audit trails90 min
   • Encryption at rest and in transit
   • PII data masking
   • Audit logging standards
   • Access control matrices
   • Vendor risk assessment
   • Compliance automation
3. Monorepo vs Polyrepo governance and dependency management at scale120 min
   • Nx build system
   • Turborepo caching
   • Shared package publishing
   • Cross-team code ownership
   • CODEOWNERS configuration
   • Automated semver releases
4. Technical debt management and architectural decision records (ADRs)90 min
   • ADR writing standards
   • Tech debt quantification
   • Refactoring sprint allocation
   • Architecture review boards
   • Cross-team RFC process
   • Legacy system documentation
5. Enterprise team structures, ownership domains, and Conway's Law in practice90 min
   • Stream-aligned teams
   • Platform engineering groups
   • Enabler team dynamics
   • Domain-driven boundaries
   • Inner sourcing principles
   • Engineering metric tracking
6. Vendor management, cloud billing audits, and multi-cloud governance90 min
   • Enterprise discount programs
   • Multi-cloud risk strategies
   • Cloud spend anomaly detection
   • Vendor lock-in mitigation
   • License compliance audits
   • Shadow IT prevention

Hands-on project: Design a migration strategy for a monolithic legacy database into microservices and establish an enterprise git branching and compliance policy.

You can implement advanced distributed patterns including saga orchestrations, CQRS, and robust service mesh security policies.

1. CQRS and Event Sourcing architecture in distributed enterprise systems120 min
   • Command query separation
   • Event store design
   • Projections and materialized views
   • Replay mechanisms
   • Snapshotting strategies
   • Event versioning
2. Zero-trust network architectures and service mesh security policies120 min
   • Identity-aware proxies
   • SPIFFE/SPIRE certificates
   • Authorization policies
   • Egress filtering
   • Service-to-service encryption
   • Network telemetry
3. Distributed tracing and telemetry collection with OpenTelemetry90 min
   • W3C trace context
   • Span propagators
   • Collector configuration
   • Exporters to Jaeger and Zipkin
   • Custom metrics instrumentation
   • Log correlation
4. Resiliency patterns: Rate limiting, bulkheads, and adaptive concurrency control90 min
   • Token bucket limiters
   • Adaptive concurrency limits
   • Thread pool bulkheading
   • Timeout cascades
   • Retry storms mitigation
   • Shedding load gracefully
5. High-throughput messaging tuning with Apache Kafka partitioning and brokers120 min
   • Broker tuning parameters
   • Partition allocation strategies
   • Replication factors
   • Producer batching settings
   • Consumer poll loop optimization
   • Log compaction
6. Distributed locking and consensus algorithms in microservices90 min
   • Raft consensus protocol
   • Redlock algorithm
   • ZooKeeper coordination
   • Lease expiration handling
   • Split-brain prevention
   • Distributed queue locks

Hands-on project: Build an enterprise CQRS event-sourced data store integrated with a service mesh policy enforcing strict zero-trust communication.

You can design and deploy multi-agent autonomous swarms capable of complex reasoning, collaborative task execution, and automated validation.

1. Advanced agent topologies: Graphs, hierarchical teams, and supervisor patterns120 min
   • LangGraph state graphs
   • Supervisor agent routing
   • Hierarchical task delegation
   • State persistence mechanisms
   • Cyclic execution loops
   • Termination conditions
2. Autonomous tool execution, environment sandboxing, and secure code runners120 min
   • Docker container sandboxes
   • E2B code interpreter API
   • Filesystem isolation
   • Network access restrictions
   • Execution timeout guards
   • Output sanitization
3. Memory architectures for autonomous agents: Episodic, semantic, and procedural stores90 min
   • Short-term working memory
   • Long-term vector memory
   • Episodic event logs
   • Memory consolidation routines
   • Forgetting policies
   • Cross-session state recall
4. Evaluating autonomous agent performance and execution guardrails90 min
   • Task completion accuracy
   • Step-count efficiency
   • Guardrail safety filters
   • Hallucination loops prevention
   • Human intervention triggers
   • Cost per task optimization
5. Integrating Model Context Protocol (MCP) for enterprise tool exposure120 min
   • MCP server architecture
   • Client transport mechanisms
   • Resource exposure protocols
   • Prompt template hosting
   • Secure tool discovery
   • Local vs remote MCP setups
6. Advanced agent planning and recursive task decomposition frameworks90 min
   • Tree of Thoughts reasoning
   • Reflexion agent patterns
   • Subtask planning nodes
   • Dynamic replanning loops
   • Error self-correction
   • Goal verification steps

Hands-on project: Develop a multi-agent coding assistant swarm using LangGraph that collaborates to write, test, and refactor complex Python codebases autonomously.

You can design resilient multi-cloud failover strategies across AWS and GCP while implementing automated cost optimization and resource tagging frameworks.

1. Multi-cloud networking: Inter-cloud peering, VPN gateways, and DNS routing120 min
   • AWS Direct Connect vs GCP Interconnect
   • Cross-cloud VPN tunnels
   • Route53 weighted routing
   • Global load balancing
   • Latency-based routing
   • Failover DNS policies
2. Cross-cloud data replication and synchronization strategies90 min
   • Asynchronous bucket replication
   • Multi-region database sync
   • Conflict resolution models
   • Data egress cost mitigation
   • Consistent backup verification
   • Disaster recovery drills
3. Advanced FinOps engineering and cloud spend attribution frameworks90 min
   • Cost allocation tagging standards
   • Kubernetes pod cost attribution
   • Reserved instance management
   • Savings plans optimization
   • Anomaly alerting rules
   • Cloud waste identification
4. Unified IAM and identity federation across cloud providers90 min
   • SAML 2.0 federation
   • OpenID Connect integration
   • Cross-account assumption
   • Least privilege auditing
   • Secret rotation automation
   • Centralized audit logging
5. Disaster recovery orchestration and automated failover testing90 min
   • RTO and RPO measurement
   • Automated failover scripts
   • Chaos engineering across clouds
   • Database promotion procedures
   • Traffic redirection testing
   • Post-failover validation
6. Cross-cloud Kubernetes cluster federation and workload placement90 min
   • KubeFed controllers
   • Multi-cluster ingress routing
   • Workload failover policies
   • Stateful set synchronization
   • Global service discovery
   • Cross-cluster observability

Hands-on project: Provision a multi-cloud disaster recovery setup spanning AWS and GCP using Terraform with automated cost-allocation dashboards.

You can deploy ultra-low-latency applications at the edge using serverless runtimes, edge databases, and global content delivery networks.

1. Edge computing paradigms and serverless V8 isolate runtimes120 min
   • V8 isolates vs containers
   • Cold start mitigation
   • Edge middleware execution
   • Geolocation routing
   • Request interception
   • Memory limits at the edge
2. Globally distributed databases and eventual consistency models90 min
   • Turso and LibSQL architecture
   • Cloudflare D1 SQLite at edge
   • Multi-region replication lag
   • Conflict-free replicated data types
   • Edge caching strategies
   • Read-after-write consistency
3. Edge security, Web Application Firewalls (WAF), and bot mitigation90 min
   • Cloudflare WAF rulesets
   • Rate limiting at the edge
   • Bot detection algorithms
   • Cryptographic challenge tokens
   • DDOS mitigation vectors
   • IP reputation filtering
4. Streaming data and real-time WebSocket sync across global edge nodes90 min
   • Cloudflare Durable Objects
   • Edge WebSockets
   • Distributed state synchronization
   • Pub/sub messaging at edge
   • Presence tracking
   • Low-latency audio/video relay
5. Edge AI inference: Running quantized models directly on edge runtimes120 min
   • ONNX Runtime Web
   • Quantized LLMs at edge
   • Cloudflare Workers AI bindings
   • Embedding generation at edge
   • Latency optimization
   • Resource budgeting
6. Observability and debugging for distributed edge architectures90 min
   • Distributed tracing across edge nodes
   • Edge log aggregation
   • Real-user monitoring (RUM)
   • Error tracking in serverless runtimes
   • Performance profiling
   • Synthetic monitoring from multiple regions

Hands-on project: Deploy a globally distributed edge application using Vercel Edge Functions and Cloudflare Workers connected to a globally replicated Turso database.

You can state a system's RPO and RTO and prove them with a rehearsed failover.

1. RPO, RTO and tiering90 min
   • Classifying workloads
   • Cost of each nine
   • Agreeing targets with the business
2. Backup that can actually restore90 min
   • Cross-region copies
   • Immutable and air-gapped backups
   • Restore rehearsal
3. Failover patterns90 min
   • Pilot light and warm standby
   • Active-active trade-offs
   • DNS and data cutover
4. Proving continuity90 min
   • DR runbook
   • Measured failover drill
   • Failback and reconciliation

Hands-on project: Define RPO and RTO for the capstone platform, implement cross-region backup and replication, then execute a documented failover and failback, measuring the actual recovery time against the target.

You can deliver a complete, multi-tenant AI-powered SaaS application deployed on a production cloud environment with full security audits and load testing.

1. Architecture design: Creating system design blueprints and sequence diagrams120 min
   • Component diagrams
   • Data flow mapping
   • Threat modeling
   • DRY principles
   • Interface contracts
   • Capacity estimation
2. Implementation: Building a multi-tenant, AI-powered SaaS application180 min
   • Tenant isolation
   • Cross-service API calls
   • Frontend-backend integration
   • State synchronization
   • Background worker queues
   • Real-time WebSocket updates
3. Security audit: Implementing OAuth2, JWT, HTTPS, and AWS IAM roles120 min
   • Keycloak integration
   • JWT signature validation
   • IAM least privilege
   • Cert-manager TLS
   • Secrets encryption
   • Penetration testing checks
4. Load testing: Simulating traffic using Locust/K6 and tuning performance bottlenecks120 min
   • Spike testing
   • Thread pool tuning
   • Database connection limits
   • Memory profiling
   • Latency percentile tracking
   • Bottleneck identification
5. Final presentation: Deploying live to AWS under a custom domain with SSL120 min
   • Route53 configuration
   • SSL certificate provisioning
   • Blue-green traffic switch
   • Post-deployment health verification
   • Demo runbook preparation
   • Capstone sign-off review
6. Post-production monitoring, alerting integration, and operational handoff120 min
   • Grafana alert routing
   • PagerDuty escalation setup
   • SLO dashboard configuration
   • Runbook documentation
   • On-call handover process
   • Architecture retro meeting

Hands-on project: Deploy the complete multi-tenant AI SaaS application to AWS EKS with HTTPS, automated health checks, and a passing Locust load test of 500 concurrent requests.