
Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Amazon Web Services, Microservices, Software Architecture, Cloud Deployment, Application Deployment, Infrastructure Architecture, Enterprise Application Management
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Database Design, Amazon Redshift, AWS Kinesis, Data Processing, System Requirements, Performance Tuning, Security Controls, Cloud Computing, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring
Beginner · Specialization · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Natural Language Processing, Amazon Web Services, Self Service Technologies, Usability, User Interface (UI), Human Computer Interaction, AI Security
Beginner · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Vector Databases, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Dataflow, Data Integration, Data Management
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, Systems Architecture, Systems Design, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Cloud Deployment, Requirements Analysis, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)
Intermediate · Specialization · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Code Review, Continuous Integration, Software Development Tools, DevOps, Software Technical Review, GitHub
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Performance Analysis, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Workflow Management, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations)
Beginner · Specialization · 3 - 6 Months

Amazon Web Services
Skills you'll gain: Hybrid Cloud Computing, Cloud Deployment, Kubernetes, Application Deployment, Cloud Platforms, Cloud Infrastructure, Amazon Web Services, Multi-Cloud
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation
Intermediate · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Amazon Bedrock, Prompt Engineering, LLM Application, Application Development, Artificial Intelligence, AI Orchestration, AI Enablement, AI Workflows, Network Routing
Beginner · Course · 1 - 4 Weeks