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: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing
Beginner · Specialization · 3 - 6 Months

Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Learning, Blended Learning, Education Software and Technology, Instructional Strategies, Lesson Planning, Student Engagement, Differentiated Instruction, Google Workspace
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)
Beginner · Course · 1 - 3 Months

Macquarie University
Skills you'll gain: Cryptography, Encryption, Data Security, Cybersecurity, Key Management, Network Security, Public Key Infrastructure, Data Encryption Standard, Security Engineering, Blockchain, Wireless Networks, Security Management, Virtual Private Networks (VPN), Intellectual Property, Data Integrity, Authentications, Hardware Architecture, Emerging Technologies
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Performance Tuning, Dataflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Data Processing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Python Programming, Data Science, Supervised Learning, Artificial Neural Networks, Regression Analysis, Data Structures
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling
Beginner · Specialization · 1 - 3 Months

National Taiwan University
Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Supervised Learning, Deep Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Statistical Methods, Regression Analysis
Intermediate · Course · 3 - 6 Months

Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Business Metrics, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning, Data Transformation, Data Processing
Intermediate · Specialization · 3 - 6 Months