Training Models Courses and Certifications

Nvidia

Jetson AI Fundamentals - Training Image Classification Models

Learn to train image classification models using PyTorch on Jetson Nano, including transfer learning, custom dataset creation, and real-time testing with live camera feeds.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Y Combinator

Scaling Laws, Compute, and the Future of AI - Engineering Challenges Behind Training Frontier Models

Dive into the engineering challenges of training frontier AI models like Claude, covering scaling laws, infrastructure, GPU management, and the future of pretraining with Anthropic's expert.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

AI Bites

QLoRA: Efficient Training of Large Language Models Using Quantization and Low-Rank Adaptation

Discover how QLoRA enables efficient training of large language models on a single GPU through innovative techniques like NormalFloat, Double Quantization, and Paged Optimizers.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Yannic Kilcher

Scalable Extraction of Training Data from Language Models

Explore techniques to extract training data from language models, revealing vulnerabilities in data privacy and model security. Learn about new attacks and their implications for AI alignment and memorization.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Andrej Karpathy

Deep Dive into Large Language Models: From ChatGPT to Training and Applications

Dive into a comprehensive exploration of Large Language Models, from fundamental concepts to advanced topics like RLHF, with insights from an industry expert on their development and practical applications.

• YouTube
• 3 hours 31 minutes
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

EfficientNetV2 - Smaller Models and Faster Training - Paper Explained

Explore EfficientNetV2's improved image classification performance, including progressive training, Fused-MBConv layer, and novel reward function for Neural Architecture Search.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Software Engineering Courses - SE Courses

SDXL Training With Kohya LoRA - Stable Diffusion XL Training Will Replace Older Models

Learn to install Kohya GUI, train SDXL models with LoRA, optimize parameters, generate high-quality images, and utilize AI tools for image sorting and enhancement. Ideal for both beginners and experienced users in AI image generation.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Aleksa Gordić - The AI Epiphany

Training Large Language Models - GPT-NeoX-20B, BigScience BLOOM, OPT-175B Explained

Explore three groundbreaking large language models: BLOOM, OPT, and GPT-NeoX-20B. Gain insights into their development, challenges faced during training, and unique features of each project.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Anyscale

Scalable Training of Language Models Using Ray, JAX, and TPUv4

Explore challenges and design decisions for scalable language model training, with quantitative analysis of efficiency improvements using Ray, JAX pjit, and TPUv4.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Trelis Research

Training and Serving Custom Multi-modal Models - IDEFICS 2 and LLaVA Llama 3

Explore advanced multi-modal model fine-tuning and deployment techniques, focusing on IDEFICS 2 and LLaVA Llama 3 for enhanced image-text processing capabilities.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Google TechTalks

Efficient Training Image Extraction from Diffusion Models

Explore efficient techniques for extracting training images from diffusion models, addressing privacy concerns and copyright issues while uncovering insights into image duplication and template copying.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Databricks

Customizing Your Models: RAG, Fine-Tuning, and Pre-Training

Explore techniques to enhance AI model performance: prompt engineering, RAG, fine-tuning, and pre-training. Learn when to apply each method for optimal results in specific domains or tasks.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Discover AI

Training and Evaluating Tiny Language Models for Edge Device Agents

Explore the development and scalability of TINY Language Models for AI agents on edge devices, focusing on training methodologies and practical implementations.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Neural Breakdown with AVB

Training Small Language Models to Reason with Reinforcement Learning - GRPO from Scratch

Master GRPO algorithm implementation from scratch to train small language models for reasoning using reinforcement learning with PyTorch code and policy gradient techniques.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Software Engineering Courses - SE Courses

Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA and Fine Tuning - Base and Edit Model

Master comprehensive Qwen image model training with LoRA and fine-tuning techniques using custom Gradio app, requiring only 6GB VRAM for local Windows training.

• YouTube
• 1 hour 53 minutes
• On-Demand
• Free Video