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.

Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, AI Workflows, Generative Model Architectures, Model Deployment, Hugging Face, Programming Principles, Computer Programming, Transfer Learning, Application Deployment, Context Management, Embeddings, User Interface (UI), Model Evaluation, Vector Databases, Debugging, Software Installation
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Statistical Hypothesis Testing, Data-Driven Decision-Making, LLM Application, Performance Metric, Statistical Analysis, Test Script Development, Large Language Modeling, Business Metrics, Model Evaluation, Prompt Engineering, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Prompt Engineering, Prompt Patterns, MLOps (Machine Learning Operations), Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, Applied Machine Learning, Project Design, AI Enablement, Operational Efficiency, Cost Management, Mitigation
Intermediate · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Jupyter, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics), Data Structures, Scripting
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Specialization · 3 - 6 Months
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Campus BBVA
Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Data Visualization, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Probability & Statistics, Statistical Inference, Statistics, Big Data, Statistical Analysis, Key Performance Indicators (KPIs)
Beginner · Course · 1 - 3 Months