
Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LangChain, Software Design Patterns, Vector Databases, LLM Application, Embeddings, Prompt Engineering, Large Language Modeling, Model Evaluation, Text Mining, Scalability, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, GitHub, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Python Programming, Computer Programming, Cloud Hosting
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Kafka, Real Time Data, Performance Testing, Scalability, AI Enablement, Data Pipelines, Apache Spark, Operational Databases, Data-Driven Decision-Making, Enterprise Architecture, Anomaly Detection, System Monitoring, System Configuration, Service Level, Usability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Model Evaluation, Forecasting, Data Presentation, Technical Communication, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Statistical Visualization, Reliability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Stakeholder Communications, Large Language Modeling, Real Time Data, AI Enablement, Information Privacy, Performance Testing, Personally Identifiable Information, Reinforcement Learning, Inventory Management System, Stakeholder Analysis
Intermediate · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months