AI Agent Operations & AgentOps Certified Course

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About Course

The AI Agent Operations & AgentOps Certified Course is a comprehensive industry-focused program designed to equip learners with the skills required to deploy, monitor, evaluate, secure, and optimize AI agents in real-world production environments. The course covers the complete AgentOps lifecycle, including AI agent architecture, LLM integration, prompt management, tool and API orchestration, agent observability, logging and tracing, performance monitoring, evaluation, debugging, security and guardrails, cost optimization, reliability, CI/CD, and continuous improvement. Learners will gain practical experience working with single-agent and multi-agent systems, RAG pipelines, vector databases, cloud platforms, automation frameworks, and monitoring tools while building production-ready AI agent solutions for enterprise use cases.

Key Features of Course Divine:

  • Collaboration with E‑Cell IIT Tirupati
  • 1:1 Online Mentorship Platform
  • Credit-Based Certification
  • Live Classes Led by Industry Experts
  • Live, Real-World Projects
  • 100% Placement Support
  • Potential Interview Training
  • Resume-Building Activities

CAREER OPPORTUNITIES AFTER AI Agent Operations & AgentOps:

  • AI Agent Operations Engineer
  • AgentOps Engineer
  • AI/ML Operations Engineer
  • AI Automation Engineer
  • Generative AI Engineer
  • AI Solutions Engineer
  • LLMOps Engineer
  • MLOps Engineer
  • AI Platform Engineer
  • AI Infrastructure Engineer
  • AI Reliability Engineer
  • AI Observability Engineer
  • Multi-Agent Systems Engineer
  • AI Workflow Automation Specialist
  • Conversational AI Engineer

ESSENTIAL SKILLS YOU WILL DEVELOP – AI Agent Operations & AgentOps:

  • AI Agent Architecture & Lifecycle Management
  • Agent Deployment & Production Operations
  • LLM Integration & Model Management
  • Prompt Engineering & Prompt Optimization
  • Multi-Agent System Design & Orchestration
  • Agent Monitoring, Logging & Observability
  • Tracing and Debugging AI Agent Workflows
  • Agent Evaluation & Performance Testing
  • RAG Pipeline Management & Optimization
  • API, Tool & Function Integration
  • AI Guardrails, Security & Access Control
  • Agent Reliability & Failure Recovery

Tools Covered:

  • LangChain & LangGraph
  • OpenAI APIs & Agent SDKs
  • CrewAI & AutoGen
  • LangSmith
  • MLflow
  • Weights & Biases (W&B)
  • Docker & Kubernetes
  • Git & GitHub Actions
  • Prometheus & Grafana
  • OpenTelemetry
  • Pinecone / FAISS / Chroma
  • FastAPI & REST APIs
  • AWS / Azure / Google Cloud

Syllabus:

Module 1: Introduction to AI Agents & AgentOps

  • AI Agents, LLMs & AgentOps Fundamentals
  • Agent Lifecycle & Production Architecture
  • Enterprise AI Agent Use Cases

Module 2: AI Agent Development & Architecture

  • Agent Workflows & Decision-Making
  • Tool Calling, Function Calling & Memory
  • Production-Ready Agent Architecture

Module 3: LLM & Prompt Operations

  • LLM Integration & Model Management
  • Prompt Engineering & Optimization
  • Model Performance & Cost Management

Module 4: Agent Orchestration & Multi-Agent Systems

  • LangChain & LangGraph Agent Workflows
  • CrewAI & Multi-Agent Collaboration
  • Agent Task Delegation & Coordination

Module 5: RAG & Knowledge Operations

  • RAG Architecture & Document Processing
  • Embeddings & Vector Databases
  • Retrieval Quality & RAG Optimization

Module 6: Agent Observability & Monitoring

  • Agent Logging, Tracing & Metrics
  • LangSmith & OpenTelemetry
  • Performance, Latency & Token Monitoring

Module 7: Agent Evaluation & Testing

  • AI Agent Testing & Evaluation Strategies
  • Accuracy, Hallucination & Failure Detection
  • Automated & Regression Testing

Module 8: Security, Governance & Guardrails

  • AI Agent Security & Access Control
  • Prompt Injection & Tool Security
  • Guardrails, Privacy & Governance

Module 9: Deployment, DevOps & Reliability

  • Docker & Kubernetes Deployment
  • CI/CD for AI Agent Applications
  • Scaling, Error Handling & Reliability

Module 10: Production AgentOps & Optimization

  • End-to-End Production AgentOps
  • Cost, Performance & Latency Optimization
  • Real-World Enterprise AI Agent Projects

Industry Projects:

  • Enterprise Customer Support AI Agent
  • Multi-Agent Business Process Automation
  • AI Agent Monitoring & Observability Platform
  • RAG-Based Knowledge Assistant
  • AI Agent Evaluation & Testing System
  • Intelligent IT Helpdesk Agent
  • AI-Powered Data Analysis Agent
  • Automated AI Workflow Orchestration
  • Production Agent Deployment & CI/CD
  • AI Agent Cost & Performance Optimization

 

 

 

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