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  • Applied Machine Learning

Applied Machine Learning Courses

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.


Popular Applied Machine Learning Courses and Certifications


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    DeepLearning.AI

    Структурирование проектов по машинному обучению

    Skills you'll gain: Transfer Learning, Debugging, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Machine Learning, Model Evaluation, Estimation, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    25K reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

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    Edureka

    Autonomous AI Agent Systems and Orchestration

    Skills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI

    Intermediate · Specialization · 1 - 3 Months

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    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    45 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Deployment, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement

    4.7
    Rating, 4.7 out of 5 stars
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    58K reviews

    Intermediate · Specialization · 3 - 6 Months

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    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    435 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Glasgow

    Fundamental MATLAB Programming for AI

    Skills you'll gain: Matlab, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics

    4.9
    Rating, 4.9 out of 5 stars
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    74 reviews

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Real Time Data, Dataflow, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Data Infrastructure, Tensorflow, Cloud Services, Data Warehousing

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    AI CERTs

    AI Essentials

    Skills you'll gain: Agentic systems, Generative AI Agents, AI Workflows, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Emerging Technologies, Business Ethics, Social Impact, Problem Solving, Analysis, Business Planning

    Beginner · Course · 1 - 3 Months

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    DeepLearning.AI

    الشبكات العصبية والتعلم العميق

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Convolutional Neural Networks, Machine Learning Methods, Applied Machine Learning, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Master Java Build Tools for ML Projects

    Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular applied machine learning courses

  • Структурирование проектов по машинному обучению: DeepLearning.AI
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • Introduction to RNN and DNN: Packt
  • Autonomous AI Agent Systems and Orchestration: Edureka
  • PyTorch: Fundamentals: DeepLearning.AI
  • Architecting with Google Compute Engine: Google Cloud
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Fundamental MATLAB Programming for AI: University of Glasgow
  • Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
  • AI Essentials: AI CERTs

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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