Inference Courses and Certifications

Prodramp

A Visual Introduction to Modern and Scalable Machine Learning Pipeline

Visual guide to modern, scalable machine learning pipelines: from data prep to deployment. Covers key stages like training, validation, inference, feature stores, and model registry. Ideal for understanding ML infrastructure evolution.

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

Prodramp

Technical Overview of Machine Learning Life Cycle

Comprehensive technical overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference. Ideal for AI engineers seeking in-depth understanding of ML processes.

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

Prodramp

An Improved and Functional Design of End-to-End Machine Learning Life Cycle

Comprehensive overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference, with practical insights for effective implementation and monitoring.

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

Nerdy Rodent

Stable Diffusion Dreambooth Tutorial - Just Like Corridor Crew

Learn to use Dreambooth SD Optimised for adding custom elements to Stable Diffusion. This tutorial covers setup, training, and inference, with tips for different hardware configurations.

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

Valerio Velardo - The Sound of AI

How to Deploy ML Models in Production with BentoML

Learn to deploy Machine Learning models in production using BentoML, covering installation, model saving, service creation, bento building, and Docker containerization. Includes hands-on examples and practical deployment steps.

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

Alfredo Canziani

Differentiable Associative Memories, Attention, and Transformers

Explore differentiable associative memories, attention mechanisms, and transformers. Learn about energy minimization, planning, and various transformer applications in machine learning and AI.

• YouTube
• 2 hours
• On-Demand
• Free Video

Alfredo Canziani

Prediction and Planning Under Uncertainty

Explore prediction and planning in uncertain environments, covering model predictive control, stochastic scenarios, and practical applications in AI decision-making.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Alfredo Canziani

Joint Embedding Method and Latent Variable Energy Based Models

Explore joint embedding methods and latent variable energy-based models with Yann LeCun. Learn about predictive systems, inference, probabilistic models, and various training techniques for advanced machine learning applications.

• YouTube
• 1 hour 52 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

Explore Semantic Scholar's AI-powered tools for accelerating scientific research, including adaptive feeds, personalized alerts, and advanced summarization techniques.

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

Valerio Velardo - The Sound of AI

How to Implement a CNN for Music Genre Classification

Implement a CNN for music genre classification using TensorFlow. Learn cross-validation, inference, and practical application with code examples and step-by-step guidance.

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

MITCBMM

Probabilistic Programming

Explore probabilistic programming concepts, from intuitive physics to computational theory of mind, with hands-on practice in web-based probabilistic programming languages.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Aladdin Persson

Variational Autoencoder From Scratch in PyTorch

Learn to implement a Variational Autoencoder from scratch using PyTorch, covering architecture, training loop, and inference with practical examples and code demonstrations.

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

Yannic Kilcher

Sparse Is Enough in Scaling Transformers - ML Research Paper Explained

Detailed explanation of Scaling Transformers and Terraformer architecture, focusing on leveraging sparsity to improve efficiency and speed in large language models while maintaining accuracy.

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

Software Engineering Courses - SE Courses

How to Do Stable Diffusion LORA Training by Using Web UI on Different Models

Comprehensive guide to LoRA training in Stable Diffusion, covering installation, image preparation, parameter tuning, and image generation using SD 1.5 and 2.1 models.

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

TensorFlow

Inside TensorFlow - TensorFlow Lite

Explore TensorFlow Lite for deploying ML models on mobile and IoT devices. Learn about its architecture, conversion process, and optimization techniques for efficient on-device inference.

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