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The Agentic AI Engineering: Build Enterprise Autonomous Multi-Agent Systems course focuses on designing and developing advanced multi-agent systems for enterprise use. The course covers agent architecture, advanced planning and reasoning, multi-agent orchestration, MCP, A2A, memory and knowledge systems, autonomous workflows and AgentOps. It also includes enterprise security, governance, scalable infrastructure, cloud deployment, voice and computer-use agents, with a final capstone focused on building a production-ready enterprise multi-agent platform.
We are variations of passages the have suffered.
Evolution of Agentic AI, Enterprise AI Architecture, Autonomous Systems, AI Operating Models, Designing AI Organizations
ReAct, Tree of Thoughts (ToT), Graph of Thoughts (GoT), Reflection, Self-Refinement, Planning Algorithms, Decision Trees, Build an Autonomous Decision-Making Agent
Planner Agent, Supervisor Agent, Worker Agents, Swarm Intelligence, Agent Hierarchies, Dynamic Task Allocation, Build a Multi-Agent AI Team
Advanced MCP, Agent-to-Agent (A2A) Protocol, Context Sharing, Agent Discovery, Event-Driven Communication
Distributed Memory, Shared Memory, Knowledge Graphs, Memory Compression, Semantic & Episodic Memory, Context Engineering
Dynamic Workflows, Parallel Execution, Human-in-the-Loop, Recovery Strategies, Fault Tolerance, Workflow Orchestration, Develop an Autonomous Business Workflow
Docker Compose, Kubernetes Fundamentals, Redis, Message Queues, Event Streaming, AI Infrastructure Design
LangSmith, Langfuse Advanced, OpenTelemetry, Logging, Tracing, Monitoring, Cost Tracking, Performance Benchmarking
Prompt Firewalls, AI Security, Authentication, Authorization, Zero Trust, Compliance, AI Governance Frameworks
Multi-LLM Routing, Load Balancing, Caching, Cost Optimization, Rate Limiting, High Availability, Failover Strategies
Voice Agents, Browser Agents, Computer Use Agents, Vision-Based Agents, Multimodal Agent Systems, Build a Voice-Controlled Autonomous Assistant
Azure AI Foundry, AWS Bedrock (Overview), Google Vertex AI (Overview), CI/CD for AI Agents, Production Deployment
Reusable Agent Templates, Agent Marketplace, Internal AI Platforms, AI Product Architecture, SaaS Agent Design
Architecture, Development, Security, Monitoring, Deployment, Documentation, Presentation, Production-Ready Enterprise Multi-Agent AI Platform
Find clear answers to common questions about the Generative AI course, including coding requirements, practical learning, prompt engineering, AI tools, career applications, assignments, assessments, and the skills you can develop after completing the program.
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