Tensorboard Courses and Certifications

Aladdin Persson

Pytorch TensorBoard Tutorial

Use PyTorch’s TensorBoard integration to plot training metrics, search hyperparameters, inspect images and weights, and explore embeddings with the projector.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Google Cloud Tech

Unlocking ML Performance Secrets with Insights from TensorBoard

Discover how to extract valuable insights from ML training using TensorBoard, visualize model architecture, analyze metrics, and optimize performance for data-driven decisions.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Advanced Deployment Scenarios with TensorFlow

512 ratings at Coursera

Deploy TensorFlow models across four scenarios: serve inference over the web with TensorFlow Serving, reuse models from TensorFlow Hub, evaluate with TensorBoard, and retrain via federated learning.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Engineer Features and Evaluate Models for Production

Build reproducible feature engineering pipelines with scikit-learn's ColumnTransformer, then use TensorBoard to diagnose overfitting and defend a production-ready model choice.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Debug Neural Networks: Analyze Training Dynamics

Diagnose neural network training failures: read training and validation curves in TensorBoard, spot overfitting and exploding or vanishing gradients, and apply gradient clipping and early stopping.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Evaluate and Create ML Workflows Visually

Compare model variants in TensorBoard dashboards using accuracy curves, loss trajectories, and compute usage, then refactor training scripts into reusable LightningModules and DataModules.

• Coursera
• 1 hour 33 minutes
• Self-Paced
• Paid Course

Aladdin Persson

PyTorch Lightning Tutorials

Master PyTorch Lightning fundamentals from modules and trainers to multi-GPU training, metrics, callbacks, and TensorBoard logging for streamlined deep learning workflows.

• YouTube
• 1 hour 41 minutes
• Self-Paced
• Free Video

StatQuest with Josh Starmer

Long Short-Term Memory with PyTorch + Lightning

Code an LSTM from scratch, train it with PyTorch Lightning, and compare it with PyTorch’s built-in nn.LSTM while tracking results in TensorBoard.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Aleksa Gordić - The AI Epiphany

Implementing DeepMind's DQN from Scratch - Project Update

A candid code walkthrough of an unfinished Deep Q-Network project, focusing on debugging reinforcement-learning components, logging, and implementation workflow.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Trelis Research

GPT OSS Release - Inference and Fine-Tuning

Master OpenAI's new open-source models through hands-on inference setup, advanced fine-tuning techniques, and quantization methods for optimal performance.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Generative AI on AWS

PyTorch Data Loader Tuning and GPU Cross-Architecture Optimizations: CUDA and AMD

Explore PyTorch data pipeline optimization techniques and cross-architecture kernel development for NVIDIA CUDA and AMD ROCm GPUs, with practical insights on solving bottlenecks and writing efficient cross-hardware code.

• YouTube
• 1 hour 33 minutes
• Self-Paced
• Free Video

Trelis Research

Multi-GPU Training with Unsloth

Master multi-GPU training techniques using Unsloth for faster model fine-tuning, covering data parallelism, script modifications, and distributed training setup.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Venelin Valkov

Fine-Tuning Qwen3 on Your Data Using Single GPU - Sentiment Analysis for Cryptocurrency Tweets

Learn how to fine-tune Qwen3 (0.6B) on custom data for sentiment analysis of cryptocurrency tweets, from data preparation to model evaluation, using LoRA for efficient training on a single GPU.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Venelin Valkov

Fine-Tuning LLM on Custom Dataset with Single GPU - Complete Tutorial for Sentiment Analysis

Master fine-tuning Qwen3 0.6B on financial news sentiment analysis using LoRA adapter, dataset prep, training setup, and model evaluation with single GPU implementation.

• YouTube
• 33 minutes
• Self-Paced
• Free Video