Inference Courses and Certifications

Statistical Inference

34 reviews

Learn to draw conclusions from data using statistical inference techniques, covering probability, distributions, hypothesis testing, and advanced methods for robust analysis.

• Coursera
• 54 hours
• On-Demand
• Paid Course

Alfredo Canziani

Latent Variable Energy Based Models - Inference

Explore Latent Variable Energy Based Models and inference techniques, focusing on energy functions, manifold generation, and free energy computation in unconditional cases.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Hardware, Software, Performance and Costs for Llama-2 70b and Mixtral 8x7b LLM Inference with Low Concurrency

Explore hardware, software, performance, and costs for running Llama-2 70b and Mixtral 8x7b LLM inference. Compare on-premises and cloud options, with insights on speed, cost, and setup for small organizations.

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

Trelis Research

Building an Auto-scaling AI Inference Service - From Setup to Deployment

Master the fundamentals of building and scaling AI inference services, from GPU utilization to auto-scaling implementation, Docker configuration, and API endpoint setup for optimal performance.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Probabilistic Graphical Models 2: Inference

489 ratings at Coursera

Explore probabilistic inference in graphical models, covering exact and approximate algorithms for conditional probability queries and MAP inference, with hands-on programming assignments.

• Coursera
• 38 hours
• On-Demand
• Paid Course

Computational Probability and Inference

3 reviews

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

• edX
• 12 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Optimize AI Inference Speed & Accuracy

Master neural network optimization techniques to achieve 3-5x faster inference while maintaining accuracy across mobile, edge, and cloud deployments using profiling, pruning, and quantization.

• Coursera
• 4 hours 26 minutes
• On-Demand
• Paid Course

Foundations of Inference in R

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Inference for Linear Regression in R

In this course you'll learn how to perform inference using linear models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Inference for Numerical Data in R

In this course you'll learn techniques for performing statistical inference on numerical data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Inference for Categorical Data in R

In this course you'll learn how to leverage statistical techniques for working with categorical data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Statistical Inference in R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

• DataCamp
• 16 hours
• On-Demand
• Free Trial Available

Foundations of Inference in Python

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

LLM Inference Optimization

1 rating at Udacity

Master advanced techniques to optimize large language model inference performance, including quantization, speculative decoding, and model parallelism for faster deployment.

• Udacity
• 11 hours
• On-Demand
• Paid Course

Causal Inference

Uncover cause-and-effect relationships in observational data using advanced methods like Difference-in-Differences, Synthetic Control, and Regression Discontinuity with Python.

• Udacity
• 13 hours
• On-Demand
• Paid Course