Model Training Courses and Certifications

AWS Events

Amazon SageMaker HyperPod Recipes for Foundation Model Training and Fine-tuning

Master SageMaker HyperPod recipes for efficient training and fine-tuning of foundation models, achieving optimal performance in machine learning workflows on AWS's comprehensive cloud platform.

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

MLOps World: Machine Learning in Production

Reward Function As A Service: A Relatively Easy Recipe for Training Your Own Reasoning Model

Discover a template for post-training Deepseek-style LLMs with custom reward functions, allowing model customization for domains that can be evaluated programmatically through Python functions.

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

MLOps World: Machine Learning in Production

Turbocharging Foundation Model Training: Cutting-Edge Strategies for Faster Convergence

Discover advanced techniques to accelerate foundation model training, from dynamic batching and mixed precision to curriculum learning and distributed frameworks, optimizing efficiency without sacrificing quality.

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

AWS Events

Unlock Advanced Model Training - Reinforcement Fine-tuning on Bedrock

Discover how Amazon Bedrock's Reinforcement Fine Tuning reduces human annotation needs while improving AI model accuracy, safety, and adaptability for enterprise applications.

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

Anyscale

Inside Uber - Scaling Model Training with Ray

Discover how Uber leverages Ray for scalable ML training across multi-cloud environments, covering architectural strategies, disaster recovery, and performance optimization techniques.

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

Building a Neural Network in PyTorch

Master PyTorch neural networks from scratch - build, train, and evaluate models through hands-on examples covering network architecture, sequential models, training loops, and performance metrics.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Navigating PySpark MLlib Essentials

Master essential machine learning with PySpark MLlib, from data preparation to model deployment. Learn to train classifiers, make predictions, and evaluate performance using distributed computing.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Building a Neural Network in TensorFlow

Master TensorFlow fundamentals and build neural networks through hands-on coding. Create, train, and evaluate models for binary classification while learning essential concepts like layers, activation functions, and predictions.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Building Reusable Pipeline Functions

Discover how to build modular MLOps pipeline components for data processing, model training, evaluation, and persistence that form the foundation for automated ML workflows.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Automating Retraining with Apache Airflow

Master Apache Airflow to build automated ML retraining pipelines with data processing, model training, evaluation, scheduling, and error handling for production systems.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Training Models in AWS with SageMaker Python SDK

Master cloud-based machine learning by setting up AWS environments, uploading data to S3, and launching scalable training jobs with SageMaker Python SDK for advanced ML workflows.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Automating ML Workflows with SageMaker Pipelines

Master automated ML workflows by building robust SageMaker Pipelines that connect data processing, training, evaluation, and deployment into repeatable, monitored systems.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Microcredential

Enterprise Machine Learning with Amazon SageMaker

Master the complete ML lifecycle using Amazon SageMaker to build, train, deploy, and automate scalable machine learning solutions in AWS cloud environments.

• CodeSignal
• 12 hours
• On-Demand
• Free Certificate
• 4 courses

Drawing Recognition with CNNs for Sketches

Master CNN architecture and training techniques to build effective hand-drawn sketch recognition systems with practical model evaluation and performance optimization methods.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Preparing Your Data and Setting a BaseLine

Master data preprocessing fundamentals: load datasets with Pandas, visualize patterns, handle missing values, encode categorical variables, and establish baseline model performance.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate