
Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Natural Language Processing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Deep Learning, Computer Vision, Image Analysis, Systems Architecture, Reinforcement Learning, Applied Machine Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Cloud Deployment, Embeddings, Big Data, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Kubernetes, Google Cloud Platform, Load Balancing, Cloud Infrastructure, Google App Engine, Containerization, Identity and Access Management, Cloud Computing Architecture, Application Deployment, Managed Services, Infrastructure As A Service (IaaS), Virtual Networking, Cloud Deployment, Data Storage, Cloud-Native Computing, Cloud Applications, Big Data, Cloud Services, Cloud Computing, Cloud Solutions
Intermediate · Professional Certificate · 3 - 6 Months

Universidad Austral
Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity
Intermediate · Professional Certificate · 3 - 6 Months
Skills you'll gain: LLM Application, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Responsible AI, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, OpenAI API, Scalability, API Design
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking
Advanced · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis, Statistical Reporting, Data Analysis, R (Software), Statistical Methods, Statistics, Probability & Statistics, R Programming, Sampling (Statistics), Probability Distribution, Software Installation
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Science and Research, Statistical Analysis, Statistical Modeling, Statistics
Beginner · Course · 1 - 4 Weeks