Les cours en apprentissage automatique peuvent vous aider à comprendre comment construire, entraîner et analyser des modèles prédictifs. Vous pouvez développer des compétences en préparation des données, choix d'algorithmes, optimisation et évaluation. De nombreux cours utilisent des bibliothèques courantes pour tester des modèles.

Board Infinity
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Hibernate (Java), Object-Relational Mapping, CI/CD, Spring Boot, Restful API, Java Programming, Integration Testing, Docker (Software), Database Development, Cloud Deployment, Application Security, Java, Containerization, SQL, Databases, Database Design, NoSQL, Kubernetes, Test Driven Development (TDD), Object Oriented Design
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Responsible AI, Database Design, Responsive Web Design, Docker (Software), Git (Version Control System), Object Oriented Programming (OOP), CI/CD, Restful API, Java Programming, Model Deployment, Engineering Software, Version Control, Database Management, Software Design
Beginner · Professional Certificate · 3 - 6 Months

University of Michigan
Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, Java Programming, System Programming, Computer Architecture, Performance Tuning, Unix, Computer Science, Debugging
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Java, Java Programming, Object Oriented Design, Object Oriented Programming (OOP), User Interface (UI) Design, Unit Testing, JUnit, Data Validation, Software Development, Application Design, Development Testing, Application Development, Test Automation, Test Case, Data Modeling, System Design and Implementation, Databases, Software Documentation, Development Environment, Software Testing
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Responsible AI, ChatGPT, Generative AI, Model Deployment, Restful API, Retrieval-Augmented Generation, Vibe coding, Natural Language Processing, Application Deployment, Data Ethics, AI Workflows, Agentic systems, CI/CD, Software Development, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Java Programming
Intermediate · Specialization · 1 - 3 Months

Princeton University
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Program Development, File I/O, Computational Thinking, Computer Science, Algorithms, Animations, Debugging
Beginner · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, Productivity, OpenAI, AI Orchestration, OpenAI API, AI Enablement, Java, Java Programming, AI Workflows, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, Tool Calling, Creativity, Document Management
Beginner · Specialization · 3 - 6 Months

IIT Guwahati
Skills you'll gain: Package and Software Management, Time Series Analysis and Forecasting, Cloud Computing Architecture, Linear Algebra, Data Structures, Data Warehousing, Model Evaluation, Database Management, Database Theory, Algorithms, Deep Learning, Portfolio Management, Social Network Analysis, Oral Comprehension, Java Programming, C (Programming Language), Spreadsheet Software, Matplotlib, Scatter Plots, Econometrics
Earn a degree
Degree · 1 - 4 Years

Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Java Programming, Theoretical Computer Science, Computer Programming, Computational Thinking, Programming Principles, Performance Tuning, Object-Relational Mapping, Computer Programming Tools
Intermediate · Specialization · 1 - 3 Months
Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
Advanced · Course · 1 - 4 Weeks
Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. It is important because it drives innovation across various sectors, from healthcare to finance, by automating processes and providing insights that were previously unattainable. As industries increasingly rely on data-driven decision-making, understanding machine learning becomes essential for staying competitive.
A variety of job opportunities exist in the field of machine learning. Positions include machine learning engineer, data scientist, AI researcher, and business intelligence analyst. These roles often require a blend of programming skills, statistical knowledge, and domain expertise. As organizations continue to adopt machine learning technologies, the demand for skilled professionals in this area is expected to grow.
To learn machine learning effectively, you should focus on several key skills. Proficiency in programming languages such as Python or R is crucial, along with a solid understanding of statistics and linear algebra. Familiarity with data manipulation and visualization tools, as well as experience with machine learning frameworks like TensorFlow or PyTorch, will also be beneficial. These skills will provide a strong foundation for your machine learning journey.
There are many excellent online resources for learning machine learning. Notable options include the IBM Machine Learning Professional Certificate and the Machine Learning with Scikit-learn, PyTorch & Hugging Face Professional Certificate. These programs offer structured learning paths and hands-on projects to help you build practical skills.
Yes. You can start learning Machine Learning on Coursera for free in two ways:
If you want to keep learning, earn a certificate in Machine Learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn machine learning, start by taking introductory courses that cover the basics of algorithms and data analysis. Engage in hands-on projects to apply what you've learned, and gradually progress to more advanced topics. Utilize online resources, participate in forums, and collaborate with peers to enhance your understanding. Consistent practice and real-world application will reinforce your skills.
Typical topics covered in machine learning courses include supervised and unsupervised learning, regression analysis, classification techniques, clustering, and neural networks. Additionally, courses often explore data preprocessing, feature engineering, and model evaluation. Understanding these concepts will equip you with the knowledge needed to tackle various machine learning challenges.
For training and upskilling employees in machine learning, programs like the Applied Machine Learning Specialization are highly effective. These courses focus on practical applications and real-world scenarios, making them suitable for professionals looking to enhance their skills and contribute to their organizations' data-driven initiatives.