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NVIDIA Agentic AI Program

Delivered by NVIDIA and CODED. Five NVIDIA Deep Learning Institute courses on RAG, LLM customization and agentic AI, with a voucher for the NVIDIA-Certified Professional: Agentic AI exam.

Starts
17 November 2026
Ends
23 November 2026
Duration
5 days
40 hrs total
Per seat
KWD 950 / seat
Format
In person
Timing
9 AM – 5 PM
Tue · Wed · Thu · Sun · Mon
Starts in
9Days
16Hours
Overview

What You'll Walk Out With

You'll build

A team able to move agentic AI from pilot to production, with working RAG agents and multi-agent applications built hands-on.

How we teach

70 / 30 hands-on. Every session ships a working artefact.

Walk out with

Certification readiness for NVIDIA-Certified Professional: Agentic AI, with the NCP-AAI exam voucher included.

Curriculum

NVIDIA Agentic AI Program Curriculum

9 AM – 5 PM. 5 days total.

  1. Day 1

    Building RAG Agents with LLMs

    8 hrs · 1 sessions

    Learn to connect LLMs to your documents with LangChain, embeddings and vector stores. Outcome: a working RAG agent that answers questions from a set of research papers.

  2. Day 2

    Adding New Knowledge to LLMs

    8 hrs · 1 sessions

    Learn to adapt a model with synthetic data, LoRA fine-tuning and preference alignment. Outcome: a fine-tuned model evaluated against the original.

  3. Day 3

    Building Agentic AI Applications with LLMs

    8 hrs · 1 sessions

    Learn to design agents that plan tasks, call tools and retrieve knowledge. Outcome: a working multi-agent application built with LangGraph and NVIDIA NIM.

  4. Day 4

    Evaluating RAG & Semantic Search Systems

    8 hrs · 1 sessions

    Learn to measure retrieval and generation quality with metrics and LLM-as-a-judge. Outcome: a repeatable method for validating enterprise RAG systems.

  5. Day 5

    Deploying RAG Pipelines for Production at Scale

    8 hrs · 1 sessions

    Learn to deploy, monitor and autoscale a RAG application on Kubernetes with NVIDIA NIM. Outcome: a production-style deployment and readiness for the certification exam.

Audience

Who This Is For

Built for organizations moving AI from pilots into production, and for the technical teams who will deliver it: IT and digital transformation teams, AI and data science departments, software engineering teams and solutions architects. Participants should be working developers or engineers with intermediate Python. The program is hands-on and coding-based, so it is not suited to non-technical staff. HR and L&D leaders can nominate technical colleagues who meet the prerequisites.

Outcomes

What Attendees Walk Out With

  • A team able to move agentic AI from pilot to production, with working RAG agents and multi-agent applications built hands-on.
  • Customize LLMs with new knowledge using synthetic data, LoRA fine-tuning and preference alignment.
  • Design agentic AI applications and multi-agent systems with LangGraph and NVIDIA NIM.
  • Evaluate RAG and semantic search systems with metrics and LLM-as-a-judge.
  • Deploy, monitor and scale RAG pipelines on Kubernetes with NVIDIA NIM.
  • Up to five NVIDIA digital certificates of completion, one for each course passed.
  • Certification readiness for NVIDIA-Certified Professional: Agentic AI, with the NCP-AAI exam voucher included.
Schedule

Cohorts & Dates

DatesStatus
Nov 17 – Nov 23, 2026Next cohort

Tue, Wed, Thu, Sun and Mon · 9:00 AM to 5:00 PM

Method

How We Teach It

70% hands-on, 30% theory. Every session is led by a working practitioner and ends with a working artefact — not slides your team will never reopen.

70hands-on30theory
FAQ

Frequently Asked

Who should attend?

Technical team members such as software engineers, ML engineers, data scientists and solutions architects, typically from IT, digital transformation or AI teams. Intermediate Python is required.

What are the prerequisites?

Intermediate Python (object-oriented programming and ML libraries), introductory deep learning (attention and transformers), and basic familiarity with LLMs and RAG. Foundational PyTorch and Kubernetes knowledge is preferred.

Is the program suitable for non-technical staff?

No. Every course is hands-on and coding-based, so the program is designed for technical professionals only.

What do participants need to bring?

Only a laptop. CODED provides each participant's NVIDIA DLI account.

Who delivers the program?

The program is delivered jointly by NVIDIA and CODED. NVIDIA instructors teach the three full-day workshops onsite in Kuwait, and a CODED instructor supports participants through the two self-paced NVIDIA courses on campus.

What do participants receive?

Up to five digital NVIDIA certificates of completion, one for each of the five courses passed, and a voucher for the NVIDIA-Certified Professional: Agentic AI (NCP-AAI) exam. The program also prepares participants to be exam ready.

How does the certification exam work?

The NCP-AAI exam is taken online and remotely proctored, after the program. The certification is valid for two years.

Where does it take place?

In person at the CODED campus in the Kuwait Free Trade Zone, on 17, 18, 19, 22 and 23 November 2026, from 9:00 AM to 5:00 PM.

How can our organization register participants?

Select Request Seats & Pricing, or contact [email protected]. The fee is KWD 950 per seat.

Ready to enroll your team?

Send us the headcount. We'll come back with seat confirmation, the next available cohort, and the invoice.