Agentic AI Certification Path

1. Nvidia-Certified Professional: Agent-Based AI (NCP-AGENT)

• Syllabus: https://www.nvidia.com/en-us/learn/certification/
• Exam: https://www.certiverse.com/#/dashboard
• cost: $250 (~ €200)
• duration: 120 minutes
• Question: 70-80
• validity: 2 Years

Coverage:

Topic Area	Weight	What You’re Expected to Know
Agent Architecture and Design	15%	Multi-agent systems, agent workflows, orchestration patterns, tool use, communication protocols, reasoning loops, autonomous vs semi-autonomous agents
Agent Development	15%	Building agents with frameworks, integrating APIs/tools, prompt engineering, RAG pipelines, function calling, workflow chaining
Evaluation and Tuning	13%	Benchmarking agents, evaluation metrics, hallucination reduction, latency optimization, cost/performance tradeoffs, prompt tuning
Deployment and Scaling	13%	Containerization, inference scaling, distributed systems, GPU utilization, Kubernetes, production deployment strategies
Cognition, Planning, and Memory	10%	Chain-of-thought, planning algorithms, memory systems, context windows, episodic vs semantic memory, reasoning strategies
Knowledge Integration and Data Handling	10%	Vector databases, embeddings, RAG, structured/unstructured data pipelines, retrieval optimization
NVIDIA Platform Implementation	7%	NVIDIA AI stack, CUDA, TensorRT, NIMs, NeMo, Triton Inference Server, DGX ecosystem
Run, Monitor, and Maintain	5%	Observability, logging, tracing, telemetry, drift detection, monitoring inference systems
Safety, Ethics, and Compliance	5%	AI governance, bias mitigation, security, privacy, guardrails, compliance principles
Human-AI Interaction and Oversight	5%	Human-in-the-loop systems, feedback mechanisms, approval workflows, UX for AI agents

Distribution

pie showData
    title NVIDIA Agentic AI Certification Exam Weights
    "Agent Architecture and Design (15%)" : 15
    "Agent Development (15%)" : 15
    "Evaluation and Tuning (13%)" : 13
    "Deployment and Scaling (13%)" : 13
    "Cognition, Planning, and Memory (10%)" : 10
    "Knowledge Integration and Data Handling (10%)" : 10
    "NVIDIA Platform Implementation (7%)" : 7
    "Run, Monitor, and Maintain (5%)" : 5
    "Safety, Ethics, and Compliance (5%)" : 5
    "Human-AI Interaction and Oversight (5%)" : 5

Study Priority

pie showData
title Study Priority
"🔥 High Priority (56%)" : 56
"⚡ Medium Priority (27%)" : 27
"📌 Lower Priority (17%)" : 17

Where:

• 🔥 High Priority = Architecture, Development, Evaluation, Deployment
• ⚡ Medium Priority = Cognition, Knowledge Integration, NVIDIA Platform
• 📌 Lower Priority = Monitoring, Safety, Human Oversight

Study Guide

Get to know basics of Agentic AI

1. Agentic AI Specialization by Andrew NG

• Module 1: Introduction to Agentic Workflows
• Module 2: Reflection Design Pattern
• Module 3: Tool use
• Module 4: Practical Tips for Building Agentic AI
• Module 5: Patterns for Highly Autonomous Agents

Mind Map

mindmap
  root((NVIDIA Agentic AI Exam))

    15% Agent Architecture
      Multi-Agent Systems
      Orchestration
      Tool Use
      Communication Protocols
      Reasoning Loops

    15% Agent Development
      Frameworks
      APIs & Tools
      Prompt Engineering
      RAG
      Function Calling

    13% Evaluation & Tuning
      Benchmarks
      Metrics
      Hallucination Reduction
      Prompt Tuning
      Latency Optimization

    13% Deployment & Scaling
      Kubernetes
      GPUs
      Distributed Systems
      Containerization
      Production Deployment

    10% Cognition & Memory
      Planning
      Chain of Thought
      Memory Systems
      Reasoning Strategies

    10% Knowledge Integration
      Embeddings
      Vector Databases
      RAG
      Retrieval Optimization

    7% NVIDIA Platform
      CUDA
      TensorRT
      Triton
      NIM
      NeMo

    5% Run & Monitor
      Logging
      Tracing
      Telemetry
      Drift Detection

    5% Safety & Compliance
      Guardrails
      Privacy
      Bias Mitigation
      Security

    5% Human-AI Oversight
      HITL
      Feedback Loops
      Approval Workflows