Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Data Ethics, Algorithms, Machine Learning, Predictive Analytics, Responsible AI, Artificial Intelligence, Machine Learning Algorithms, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Generative AI, Economics
Beginner · Course · 1 - 4 Weeks

Whizlabs
Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Data Lakes, Google Cloud Platform, Data Pipelines, Dataflow, Apache Spark, Apache Kafka, Big Data, Tensorflow, Data Warehousing, Apache Hadoop, Data Architecture, Data Management, Metadata Management, Unstructured Data, Applied Machine Learning, Real Time Data, Extract, Transform, Load, Data Migration, Data Processing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Programmable Logic Controllers, Electrical Wiring, Computational Logic, Control Systems, Automation, Simulation and Simulation Software, Human Machine Interfaces, Communication Systems, Applied Mathematics
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Data Ethics, Organizational Strategy, AI Enablement, Artificial Intelligence, Strategic Leadership, Cross-Functional Collaboration, Governance, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Business Ethics, Technology Roadmaps, Data Governance, Enterprise Architecture, Organizational Structure, Strategic Prioritization, Scalability, Risk Analysis, Business Risk Management
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Applied Machine Learning, Case Studies, Fraud detection, Project Risk Management, Project Planning, Business Ethics, Ethical Standards And Conduct, Law, Regulation, and Compliance, Scalability, Content Strategy, Quality Assessment, Keyword Research, Search Engine Optimization, Content Creation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation
Intermediate · Course · 1 - 3 Months