
Skills you'll gain: User Story, Software Development Life Cycle, Stakeholder Engagement, Software Architecture, Project Management Life Cycle, Resource Management, Peer Review, Agile Software Development, Scrum (Software Development), Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Project Management, Information Technology, Risk Management, Interviewing Skills, Agile Project Management, Leadership, Communication
Beginner · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Scrum (Software Development), Cloud Deployment, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Agile Project Management, Cloud Computing, Cloud-Native Computing, Cloud Storage, CI/CD, Test Driven Development (TDD)
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software
Beginner · Course · 1 - 3 Months

Skills you'll gain: Cybersecurity, Cyber Attacks, Data Security, Computer Security Awareness Training, Authentications, Authorization (Computing), Application Security, Security Controls, Personally Identifiable Information, Security Awareness, Identity and Access Management, Information Privacy, Cryptography, Malware Protection, Hardening, Encryption, Vulnerability Assessments, Multi-Factor Authentication, Data Integrity
Beginner · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Prompt Patterns, AI Enablement, Personalized Service, Data Ethics, Customer experience improvement, Real Time Data, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Responsible AI, AI Workflows, Customer Advocacy, Content Creation, Machine Learning, Image Analysis, Context Management, Decision Making
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Prompt Engineering, AI Product Strategy, Prompt Patterns, ChatGPT, Responsible AI, Generative AI, Google Gemini, Product Management, AI Enablement, Artificial Intelligence, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Personalization, Machine Learning, Stakeholder Engagement, Context Management, Decision Making
Intermediate · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Regression Analysis, Python Programming
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months