Java Data Structures courses can help you learn about arrays, linked lists, stacks, queues, and hash tables. You can build skills in algorithm efficiency, data manipulation, and implementing search and sort techniques. Many courses introduce tools like Eclipse or IntelliJ IDEA, which support coding practices and debugging, allowing you to apply your knowledge in real coding environments. You'll also explore concepts such as recursion and tree structures, enhancing your ability to tackle complex programming challenges.

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Model Deployment, Large Language Modeling, OpenAI API, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, CI/CD, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis
Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Storytelling, Data Presentation, Business Analytics, Data Visualization Software, Presentations, Data-Driven Decision-Making, Statistical Reporting, Data Analysis, Analysis, Technical Communication, Case Studies, Communication
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
Advanced · Course · 3 - 6 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Advanced · Course · 1 - 3 Months

Skills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI
Intermediate · Specialization · 1 - 3 Months

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months