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AI in Generative Models

NVIDIA AI Essentials · Generative AI

Build a grounded assistant, an image model lab, and a note of what it costs to serve

RIA’s AI in Generative Models course in Chennai covers prompts, retrieval that cites a source, agents that route a task, image generation, and the cost of serving a model.

Agent design in the main data-science programme stays on Agentic AI. This specialization is the generative track: language, images, evaluation and serving.

Health and pharma examples are reading and ranking exercises. The course does not design drugs or give clinical advice.

The subject map follows the public self-paced catalogue at NVIDIA training. RIA teaches these subjects in Chennai. NVIDIA courses, cloud labs and certificates stay with NVIDIA. Completion here is a RIA record.

Classroom batches run at Purasawalkam and Saligramam, Chennai. Call +91 98843 63200.

What you will learn

  • What a language model is doing when it continues text
  • Prompts that ask for a format a person can check
  • Retrieval that shows the passage it used
  • An agent that routes work and stops for a person
  • Diffusion-style image generation and disclosure
  • How you score retrieval and the written answer separately
  • Why a smaller or compressed model can be the right one to serve
  • A publishing rule: a person sends the result

Full program syllabus & curriculum

Domain literacy + applied AI labs + responsible review + capstone

  • AI in Generative Models

    We teach generative systems you can check: a cited answer, an agent that stops, an image lab, and the cost of serving. The subject map follows the public self-paced catalogue at NVIDIA training. RIA teaches these subjects in Chennai. NVIDIA courses, cloud labs and certificates stay with NVIDIA. Completion here is a RIA record.

    Domain Knowledge We Teach
    • Tokens, context and a wrong but fluent sentence
    • Retrieval versus a model that only remembers training
    • Agents as routers, not authors of record
    • Images that must be disclosed as generated
    • Latency, batching and model size
    AI Skills You Will Learn
    • Write a prompt that demands a source
    • Build a small retrieval demo and score the passages apart from the prose
    • Route one task to a person on purpose
    • Generate an image and label it as generated
    Hands-on Outcomes
    • A grounded assistant with citations
    • An evaluation note for retrieval and for the answer
    • A serving sketch: size, latency, approval
    • A rule that a person publishes

Common questions

  • Is this the Agentic AI module?

    Agentic AI on the data-science page is the multi-agent programme. This course is the generative specialization: language, retrieval, images and serving.

  • Will the model publish on its own?

    No. You design the stop for a person. Enrolment emails, trades, clinical notes and legal filings stay human.

  • Do I get an NVIDIA generative-AI certificate?

    No. NVIDIA’s exams stay with NVIDIA. RIA records completion of this course.

  • Where is it taught?

    RIA Purasawalkam and RIA Saligramam, Chennai.

Skills you build

  • A retrieval answer with the source attached
  • An agent flow with a human stop
  • An image lab with a disclosure line
  • A serving note: latency, size and who approves

Who this is for

  • Developers who already call a language-model API
  • Analysts building an internal assistant
  • Design and media learners who need the model side, not only the craft side
  • Learners who finished AI Essentials or Deep Learning

Enquire about AI in Generative Models

Ready to start AI in Generative Models?

Enquire for batch dates at Purasawalkam or Saligramam. This is a RIA course. NVIDIA certificates stay with NVIDIA.

Across every course

Seminars, workshops and faculty development

The same formats sit on any RIA subject. Name the course and the room — a faculty programme, a seminar, a workshop, an internship, or help with a project.

See how a session is arranged
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