
Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning Methods, Machine Learning, Applied Machine Learning
★ 4.5 (117) · Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
★ 4.2 (607) · Advanced · Specialization · 3 - 6 Months

Amazon Web Services
Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, Data Ethics, AWS SageMaker, AI Workflows, Agentic systems, AI Product Strategy, Agentic Workflows, Amazon Web Services, AI Integrations, LLM Application, AI Orchestration, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Data Management
★ 4.6 (120) · Beginner · Professional Certificate · 1 - 3 Months

Amazon Web Services
Skills you'll gain: AWS SageMaker, Generative AI, Data Lakes, Data Governance, Data Architecture, Data Management, SQL, Model Training, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Encryption, Key Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
★ 3.9 (10) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning
★ 4.5 (95) · Advanced · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming
★ 3.5 (56) · Advanced · Course · 1 - 3 Months

Skills you'll gain: AWS Kinesis, AWS SageMaker, AWS CloudFormation, Cloud Engineering, Data Quality, Docker (Software), Data Pipelines, Software Development Tools, Data Security, Data Import/Export, Database Systems, Databases, Version Control, Apache Spark, Apache Airflow, Data Modeling, Cloud Security, Database Management Systems, AWS Identity and Access Management (IAM), Data Processing
★ 4.3 (8) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, Machine Learning Methods, No-Code Development, Model Training, Machine Learning, Machine Learning Algorithms, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Import/Export, Data Validation
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, AWS SageMaker, Amazon DynamoDB, Amazon Web Services, Amazon Redshift, Serverless Computing, Identity and Access Management, Amazon S3, AWS CloudFormation, Cloud Management, AWS Kinesis, Infrastructure as Code (IaC), Virtual Networking, Cloud Security, Network Security, Threat Detection, Network Architecture, Kubernetes, Containerization
★ 4.2 (6) · Advanced · Specialization · 3 - 6 Months