Applied Machine Learning

Applied Machine Learning is a multidisciplinary approach to constructing algorithms that can learn from and predict future data. Coursera's Applied Machine Learning catalogue provides you with the necessary knowledge and skills to effectively use machine learning in a range of practical applications. You'll learn how to process and analyze large-scale data, build predictive models using supervised and unsupervised learning techniques, and apply these models to real-world problems such as image and speech recognition, autonomous driving, and predictive analytics. Enhance your problem-solving abilities and gain a competitive edge in fields like data science, artificial intelligence, and software engineering by mastering machine learning techniques such as decision trees, neural networks, regression, and clustering.
123credentials
1online degree
437courses

Explore the Applied Machine Learning Course Catalog

  • Status: New
    Status: Free

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Engineering Tools, Generative AI, Image Analysis, Computer Vision, AI Personalization, Applied Machine Learning

  • Status: Preview

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Tensorflow, Continuous Deployment, Google Cloud Platform, Machine Learning Methods, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Applied Machine Learning, Feature Engineering, Containerization, Scalability, Data Validation

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Application Frameworks, Tensorflow, Applied Machine Learning, Performance Tuning, Hardware Architecture, Computer Hardware, Algorithms, Scalability

  • Status: Preview

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Game Theory, Algorithms, Applied Machine Learning, Artificial Intelligence, Predictive Modeling, Data Quality

  • Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

  • Status: Free Trial

    Skills you'll gain: Data-Driven Decision-Making, Artificial Intelligence, Customer Analysis, AI Product Strategy, Business Intelligence, Classification And Regression Tree (CART), Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Applied Machine Learning, Big Data, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing

  • Status: Free Trial

    Skills you'll gain: Google Gemini, Generative AI, Predictive Modeling, Applied Machine Learning, Google Cloud Platform, Big Data, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Customer Relationship Management

  • Status: New
    Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Prompt Engineering, LLM Application, Applied Machine Learning, Data Processing

  • Status: New
    Status: Preview

    Skills you'll gain: General Data Protection Regulation (GDPR), Health Insurance Portability And Accountability Act (HIPAA) Compliance, Open Source Technology, Patient Communication, Data Ethics, Responsible AI, Clinical Informatics, Healthcare Ethics, Decision Support Systems, Health Care Procedure and Regulation, ChatGPT, Health Informatics, Healthcare Industry Knowledge, Artificial Intelligence, Health Technology, AI Personalization, Applied Machine Learning, Medical Imaging, Automation, Medical Coding

  • Status: New

    Skills you'll gain: MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Machine Learning, Systems Architecture, Data Validation, Performance Tuning, Distributed Computing, Scalability, Data Pipelines, Debugging

  • Status: Preview

    Skills you'll gain: Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Natural Language Processing, Text Mining