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NVIDIA Building Agentic AI Applications with Large Language Models (LLMs)

Live Online (VILT) & Classroom Corporate Training Course

The <strong data-start="4" data-end="50">Building Agentic AI Applications with LLMs</strong> course equips developers, data scientists, and AI enthusiasts to go beyond chatbots and build intelligent, autonomous systems. Learn to design, implement, and deploy AI agents that plan, act, and adapt to real-world goals through hands-on projects.

Expert-Led VILT & Classroom Hands-On CloudLabs Certification Voucher Available
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Overview

This course provides an in-depth understanding of how to design and develop Agentic AI applications that leverage Large Language Models (LLMs). Participants will explore the core concepts of agentic reasoning, tool use, multi-step task planning, and autonomous decision-making to build real-world AI agents capable of interacting intelligently with data, APIs, and humans.

Objectives

By the end of this course, leaner will be able to:

  • Understand the architecture and principles of agentic AI systems.
  • Integrate LLMs with tools, APIs, and external data sources for dynamic task execution.
  • Design multi-agent workflows that collaborate to achieve complex goals.
  • Implement memory, reasoning, and planning capabilities in AI agents.
  • Build, test, and deploy production-grade Agentic AI applications.

Prerequisites

Basic understanding of Python programming. Familiarity with foundational AI/ML concepts. Prior exposure to prompt engineering or LLM APIs (e.g., OpenAI, Anthropic, or Hugging Face) is helpful but not mandatory.

Course Outline

  • Evolution from chatbots to intelligent agents
  • Role and capabilities of Large Language Models
  • Understanding reasoning, autonomy, and goal-driven behavior

  • Components of agentic systems (planner, executor, memory)
  • Designing event-driven and task-oriented AI workflows
  • Orchestrating multiple LLMs and APIs

  • Overview of frameworks like LangChain, LlamaIndex, and CrewAI
  • Implementing tool use, context retention, and state management
  • Hands-on: Building your first autonomous agent

  • Incorporating retrieval-augmented generation (RAG)
  • Integrating multimodal inputs and outputs
  • Adding reasoning loops and self-reflection mechanisms

  • Hosting agents in scalable environments
  • Monitoring and evaluating agent performance
  • Ensuring reliability, safety, and ethical AI operation

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

Client Stories

What our clients say

Voices from L&D leaders, architects, and program managers who’ve trusted us with their upskilling.