Artificial Intelligence and Machine Learning (AI/ML)

Artificial Intelligence and Machine Learning (AI/ML) refers to the science of making computers mimic human intelligence processes, learning from experiences, adjusting to new inputs, and performing human-like tasks. Coursera's AI/ML catalogue equips you with comprehensive knowledge on these rapidly growing fields. You'll learn about the foundational concepts of AI/ML, including the design of intelligent agents, problem-solving, and learning from observation. The catalogue also delves into advanced topics such as neural networks, deep learning, natural language processing, and reinforcement learning. By mastering these AI/ML concepts, you'll be prepared to develop and deploy AI systems, design intelligent agents, and create machine learning models for various applications in the tech industry.

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Results for "Artificial Intelligence and Machine Learning (AI/ML)"

  • Microsoft

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, AI Integrations, MLOps (Machine Learning Operations), Application Deployment, AI Workflows, Model Evaluation, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5 stars, 288 reviews, Intermediate, Course, 1 - 3 Months

  • Amazon Web Services

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning, Digital Transformation

    4.6 stars, 4K reviews, Mixed, Course, 1 - 4 Weeks

  • Microsoft

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    4.6 stars, 405 reviews, Intermediate, Professional Certificate, 3 - 6 Months

  • Microsoft

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    4.7 stars, 71 reviews, Intermediate, Course, 1 - 3 Months

  • University of London

    Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Data Literacy, Machine Learning Algorithms, AI literacy, Responsible AI, Data Collection

    4.7 stars, 3.5K reviews, Beginner, Course, 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Generative AI Agents, Google Cloud Platform, Prompt Engineering, Generative AI, Cloud Infrastructure, Prompt Engineering Tools, MLOps (Machine Learning Operations), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Natural Language Processing, AI Orchestration, Agentic systems, Artificial Intelligence, Large Language Modeling, Applied Machine Learning, Model Deployment, Model Training, Machine Learning Methods

    4.5 stars, 334 reviews, Beginner, Course, 1 - 3 Months

  • EDUCBA

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Applied Machine Learning, Computational Logic, Machine Learning, Logical Reasoning, Unsupervised Learning, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Problem Solving, Data-Driven Decision-Making, Probability & Statistics, Systems Design

    5 stars, 10 reviews, Mixed, Course, 1 - 3 Months

  • University of Illinois Urbana-Champaign

    Skills you'll gain: Responsible AI, Data Ethics, Wealth Management, Human Learning, Financial Services, Education Software and Technology, Learning Theory, Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Pedagogy, Machine Learning, Artificial Intelligence, AI literacy, Compliance Training, AI Enablement, Relationship Management, Digital pedagogy, Rapport Building, Financial Planning

    4.4 stars, 30 reviews, Intermediate, Specialization, 1 - 3 Months

  • Whizlabs

    From the course: Exam Prep: Google Cloud Certified Cloud Digital Leader·Lesson: AI/ML & Monitoring Fundamentals

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  • Microsoft

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4 stars, 306 reviews, Beginner, Course, 1 - 4 Weeks

  • Microsoft

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Artificial Intelligence, Model Optimization, Federated Learning, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, AI Product Strategy, Microsoft Azure, Information Privacy

    4.7 stars, 54 reviews, Intermediate, Course, 1 - 4 Weeks

  • Microsoft

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage

    4.6 stars, 27 reviews, Intermediate, Course, 1 - 3 Months