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AI in Deep Learning

NVIDIA AI Essentials · Deep learning

Train a model for images, speech or video, and say where the data is allowed to go

RIA’s AI in Deep Learning course in Chennai is the model-training specialization: vision, speech, video, graphs and sensors, plus the idea of training when raw records cannot leave a hospital, a bank or a lab.

A medical or satellite example is an analytics exercise. A clinician or an analyst decides. Edge devices are introduced; hardware time on Jetson sits with School of Robotics.

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

  • How a network learns, in vision and in text
  • A measured test set, not a demo that only works once
  • Speech recognition as a service you can evaluate
  • Video turned into a short list of events a person reviews
  • Graph models for connected data
  • Training across sites without pooling raw records
  • Sensors and edge devices at a design level
  • A capstone with limits written on the first page

Full program syllabus & curriculum

Domain literacy + applied AI labs + responsible review + capstone

  • AI in Deep Learning

    We teach model training for images, speech, video and graphs, and the rule for data that cannot leave a site. 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
    • Loss, overfitting and a test set you did not train on
    • Images, speech, video and graphs as different inputs
    • What a pretrained model already knows
    • Privacy when records stay in one organisation
    • Edge devices as a deployment choice, not a product claim
    AI Skills You Will Learn
    • Train a vision classifier and report the errors
    • Fine-tune or evaluate a speech or text model
    • Turn a short video into a review list
    • Sketch a training setup where raw rows are not copied out
    Hands-on Outcomes
    • One model with a test metric and a failure note
    • A data-boundary paragraph
    • A demo a domain reviewer can stop
    • A pointer to generative models or robotics if that is the next job

Common questions

  • Is this a medical diagnosis course?

    No. Health examples are for workflow practice. A clinician decides. See also AI in Healthcare.

  • Do I need AI Essentials first?

    It helps. You can start here if you already train models in Python.

  • Will I deploy a self-driving stack?

    No. Vehicle and robot examples stay at model and simulation literacy. Control systems sit in the robotics and energy programmes.

  • Where is it taught?

    RIA Purasawalkam and RIA Saligramam, Chennai.

Skills you build

  • A vision model with a real test split
  • A speech or text model you can score
  • A video demo that lists events for review
  • A note on where the training data is allowed to live

Who this is for

  • Python learners ready to train models
  • Engineers moving from classical ML to neural nets
  • Analysts in vision, speech or sensor teams
  • Students heading toward generative models or robotics

Enquire about AI in Deep Learning

Explore related RIA programmes

NVIDIA AI Essentials
AI Essentials
AI in Accelerated Computing
AI in Accelerated Data Science
AI in Generative Models
AI in Infrastructure
AI in Simulation and Physical AI
Data Science & AI
School of Robotics

Ready to start AI in Deep Learning?

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

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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.

Faculty programme Seminar Workshop Internship Projects
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