Curriculum

Week 1: Secure Agent Foundations (Days 1-7)

Day 1: Enterprise Agent Architecture

  • Production agent lifecycle with proper initialization, execution, and cleanup

  • State management with encryption, persistence, and recovery strategies

  • Comprehensive error handling with logging, alerting, and graceful degradation

  • Building CLI agent with structured logging and configuration management

Day 2: Secure Memory & Context Systems

  • Memory architecture patterns with encryption and access controls

  • Context window optimization balancing cost, performance, and security

  • Conversation compression with PII detection and data classification

  • Implementing agent memory with encrypted SQLite and audit logging

Day 3: Secure Tool Integration

  • Tool abstraction with security sandboxing and permission management

  • Dynamic discovery with capability validation and access controls

  • Error propagation with security event logging and incident response

  • Building file system agent with permission boundaries and audit trails

Day 4: Production Web Agent with Resilience

  • Advanced rate limiting with distributed coordination and circuit breakers

  • Session management with secure cookie handling and CSRF protection

  • Content parsing with input validation and malware detection

  • Building price monitoring agent with secure notification channels

Day 5: Secure Document Processing

  • Text chunking with PII detection and content classification

  • Multi-format processing with virus scanning and content validation

  • Metadata extraction with privacy compliance and audit logging

  • Building document agent with secure storage and access controls

Day 6: Agent Communication Security

  • Message queue integration with encryption and authentication

  • Event-driven patterns with security event correlation and monitoring

  • Inter-agent protocols with mutual authentication and authorization

  • Building secure workflow foundation with comprehensive logging

Day 7: Week 1 Integration & Security Assessment

  • Combining agents with shared security context and audit trails

  • Coordinated state management with encryption and access logging

  • Security testing including penetration testing and vulnerability assessment

  • Performance monitoring with security metrics and compliance reporting

Week 2: Production Integration & Monitoring (Days 8-14)

Day 8: Enterprise Chat Agent Architecture

  • WebSocket management with authentication, authorization, and session security

  • Multi-tenant session isolation with resource quotas and monitoring

  • Real-time context synchronization with conflict resolution and audit logging

  • Building customer support agent with enterprise SSO integration

Day 9: Advanced Conversation Management

  • Conversation flow with compliance validation and content moderation

  • Dynamic prompt generation with injection prevention and content filtering

  • Personality consistency with behavior monitoring and anomaly detection

  • Implementing conversation routing with escalation and compliance tracking

Day 10: Secure Code Analysis Agent

  • AST parsing with security pattern recognition and vulnerability detection

  • Git integration with access controls and automated security scanning

  • Code review workflows with compliance checking and audit generation

  • Building PR analysis agent with security gates and approval workflows

Day 11: Multi-Modal Security & Classification

  • Image processing with content moderation and malware detection

  • Document OCR with PII detection and data classification

  • Audio processing with speech recognition and content filtering

  • Building content moderation agent with classification and reporting

Day 12: Agent Learning & Compliance

  • User preference learning with privacy protection and consent management

  • Behavioral adaptation with bias detection and fairness monitoring

  • A/B testing with statistical significance and privacy preservation

  • Building recommendation agent with explainability and audit trails

Day 13: Advanced Tool Orchestration & Monitoring

  • Complex tool chains with security validation and monitoring

  • Parallel execution with resource management and cost tracking

  • Failure recovery with security incident response and reporting

  • Building research agent with source validation and fact-checking

Day 14: Week 2 Integration & Performance Optimization

  • Multi-modal chat agent with integrated security and monitoring

  • Real-time collaboration with audit logging and compliance tracking

  • Performance optimization with cost analysis and resource management

  • Load testing with security validation and scalability assessment

Week 3: LLMOps & Advanced Orchestration (Days 15-21)

Day 15: Multi-Agent System Security

  • Agent specialization with capability-based access controls

  • Secure communication protocols with end-to-end encryption

  • Resource coordination with quota management and cost attribution

  • Building content creation team with role-based permissions

Day 16: Production Orchestration Patterns

  • Workflow definition with security validation and compliance checking

  • Dynamic assignment with load balancing and security isolation

  • Failure detection with security incident correlation and response

  • Building customer onboarding with compliance automation

Day 17: Self-Healing & Security Monitoring

  • Anomaly detection with security event correlation and threat detection

  • Automatic recovery with security validation and audit logging

  • Health monitoring with security metrics and compliance reporting

  • Building reliability agent with security incident management

Day 18: Agent Specialization & Expertise Validation

  • Domain knowledge integration with source validation and fact-checking

  • Expert system design with explainability and audit requirements

  • Knowledge management with version control and access tracking

  • Building technical documentation agent with accuracy validation

Day 19: Distributed Agent Networks

  • Peer-to-peer communication with mutual authentication and encryption

  • Distributed consensus with security validation and audit logging

  • Resource pooling with cost tracking and security isolation

  • Building problem-solving network with collaboration monitoring

Day 20: Production Learning & Optimization

  • Online learning with bias detection and fairness validation

  • Feedback integration with privacy protection and consent management

  • Performance analytics with cost optimization and security monitoring

  • Building self-improving agent with explainability and oversight

Day 21: Week 3 Integration & Enterprise Validation

  • Complete multi-agent system with comprehensive security and monitoring

  • Self-healing capabilities with security incident response and recovery

  • Advanced orchestration with compliance automation and reporting

  • Enterprise dashboard with security metrics and audit trails

Week 4: Enterprise Deployment & Operations (Days 22-30)

Day 22: Enterprise API Gateway & Security

  • API design with comprehensive authentication and authorization

  • Rate limiting with distributed coordination and attack mitigation

  • Security middleware with threat detection and incident response

  • Building production gateway with monitoring and analytics

Day 23: Kubernetes Deployment & Orchestration

  • Container security with image scanning and runtime protection

  • Kubernetes patterns with network policies and resource quotas

  • CI/CD pipelines with security gates and automated testing

  • Building deployment automation with rollback and recovery

Day 24: Enterprise Security & Compliance Framework

  • Comprehensive security architecture with defense in depth

  • Compliance automation with audit trail generation and reporting

  • Identity management with federation and access governance

  • Building security platform with monitoring and incident response

Day 25: Cost Optimization & Performance Engineering

  • LLM cost optimization with usage analytics and budget controls

  • Performance monitoring with distributed tracing and profiling

  • Resource optimization with auto-scaling and efficiency metrics

  • Building cost management platform with forecasting and alerts

Day 26: Advanced Observability & Operations

  • Distributed tracing with security event correlation

  • Custom metrics with anomaly detection and predictive analytics

  • Log aggregation with security analysis and threat detection

  • Building operations platform with automated incident response

Day 27: Enterprise Testing & Quality Assurance

  • Security testing with automated vulnerability scanning

  • Load testing with attack simulation and resilience validation

  • Quality gates with compliance checking and audit generation

  • Building QA automation with security integration and reporting

Day 28: Disaster Recovery & Business Continuity

  • Backup strategies with encryption and compliance validation

  • Geographic distribution with data sovereignty and regulatory compliance

  • Failover automation with security validation and audit logging

  • Building resilience platform with recovery automation and testing

Day 29: Enterprise Integration & Legacy Systems

  • Secure integration patterns with legacy system protection

  • Event sourcing with audit compliance and data governance

  • Microservices architecture with security boundaries and monitoring

  • Building integration platform with transformation and validation

Day 30: Production Deployment & Portfolio Presentation

  • Complete enterprise agent platform with full security and monitoring

  • Production deployment with comprehensive documentation and runbooks

  • Performance validation with security assessment and compliance verification

  • Portfolio presentation with technical depth and business impact demonstration


Learning Outcomes & Professional Certification

By course completion, you'll have:

  • Built 5 enterprise-grade agent systems with production security, monitoring, and compliance features

  • Mastered LLMOps practices for cost optimization, performance monitoring, and operational excellence

  • Deployed scalable architectures with Kubernetes, monitoring, and disaster recovery capabilities

  • Earned industry certification through partnerships with OpenAI, Anthropic, and infrastructure providers

  • Developed professional portfolio demonstrating enterprise AI engineering expertise for immediate industry impact

  • Achieved readiness for senior AI engineer roles with demonstrated capability in production agent systems

Industry Partnership Benefits:

  • OpenAI API certification with advanced usage patterns and optimization

  • Anthropic Claude integration certification with safety and alignment practices

  • Vector database certification (Pinecone/Weaviate) for production-scale retrieval systems

  • LinkedIn skill verification and GitHub portfolio optimization for career advancement

This intensive, production-focused approach ensures you can confidently architect, secure, and operate AI agent systems that meet enterprise standards for security, scalability, compliance, and operational excellence while delivering measurable business value.