NVIDIA DLI Fundamentals of Deep Learning

A comprehensive 8-hour instructor-led training that introduces participants to deep learning techniques, focusing on computer vision and natural language processing. Learn fundamental deep learning training techniques using PyTorch through hands-on exercises with dedicated GPU-accelerated cloud server access.

Key Topics Covered:

• Mechanics of deep learning
• Convolutional neural networks
• Data augmentation techniques
• Pre-trained models and transfer learning
• Image classification

Learning Objectives:

• Learn fundamental deep learning training techniques
• Understand common data types and model architectures
• Enhance datasets through data augmentation
• Leverage transfer learning between models to achieve efficient results with less data and computation
• Build confidence in deep learning frameworks

Prerequisites:

• Python 3 programming fundamentals
• Understanding of functions, loops, dictionaries, arrays
• Familiarity with Pandas data structures
• Basic understanding of regression lines

Course Features:

• Hands-on exercises with real-world applications
• Skills-based coding assessments
• NVIDIA DLI certificate upon successful completion

Course includes

• Hands-on lab exercises
• Industry-relevant projects
• Certificate of competence (upon passing the graded assessments)
• Access to NVIDIA DLI pre-configured computing environments with GPUs

Get Started

Ready to advance your AI skills? Contact us via info@kineto.ai to learn more about course availability, scheduling, and enrollment options.