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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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    SkillsBooster Academy

    Context Engineering for Beginners

    Skills you'll gain: Context Engineering, Prompt Engineering, ChatGPT, Token Optimization, Context Management, Retrieval-Augmented Generation, Gemini, AI Workflows, Generative AI, AI Personalization, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Microsoft Copilot, Large Language Modeling, Workflow Management, Document Management

    Beginner · Course · 1 - 3 Months

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    Google

    AI for Data Analysis

    Skills you'll gain: Data Presentation, Interactive Data Visualization, Google Gemini, Analytics, Business Analytics, Data Wrangling, AI Personalization, Artificial Intelligence, Model Evaluation, Performance Analysis, AI Enablement, AI literacy, AI Workflows, Generative AI, Simulation and Simulation Software, Productivity Software, Google Workspace, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
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    626 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
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    152 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Michigan

    Using Databases with Python

    Skills you'll gain: Database Design, Data Store, Database Software, Relational Databases, SQL, Databases, Data Visualization Software, Web Scraping, Data Modeling, Object Oriented Programming (OOP), Data Processing, Python Programming, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
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    22K reviews

    Beginner · Course · 1 - 3 Months

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    DeepLearning.AI

    IA Para Todos (Español)

    Skills you'll gain: AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, AI literacy, Data Ethics, AI Integrations, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

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    KodeKloud

    AWS AI Practitioner (AIF-C01): Exam Walkthrough & Mock Exam

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, AWS SageMaker, Amazon Web Services, Model Evaluation, AWS Identity and Access Management (IAM), AI Enablement, Decision Intelligence, Prompt Engineering, AWS Kinesis, Large Language Modeling, AWS CloudFormation, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Data Processing, Cloud Computing, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Transformation, Model Evaluation, Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    147 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Reward Programming: Optimizing RL Efficiency and Safety

    Skills you'll gain: Reinforcement Learning, Computational Logic, Responsible AI, AI Workflows, Machine Learning Methods, Model Optimization, Agentic systems, Machine Learning, Theoretical Computer Science, Model Evaluation, Continuous Monitoring, Functional Specification, Markov Model, Verification And Validation, Safety and Security

    Intermediate · Course · 1 - 3 Months

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    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, PySpark, Model Training, Applied Machine Learning, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Data Science, Python Programming, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
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    62 reviews

    Advanced · Course · 1 - 4 Weeks

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    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Robotics, Machine Controls, Control Systems, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering, Mechanics, Mechanical Engineering, Applied Mathematics, Numerical Analysis, Simulations, Process Control, Virtual Environment, Torque (Physics), Graph Theory, Matlab, Algorithms, Engineering Calculations, Physics

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Full-Stack Web Development, Software Design, Web Development, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Web Language, Back-End Web Development, Integrated Development Environments, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    4.8K reviews

    Beginner · Course · 1 - 3 Months

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

  • Context Engineering for Beginners: SkillsBooster Academy
  • AI for Data Analysis: Google
  • Generative AI Language Modeling with Transformers: IBM
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Using Databases with Python: University of Michigan
  • IA Para Todos (Español): DeepLearning.AI
  • AWS AI Practitioner (AIF-C01): Exam Walkthrough & Mock Exam: KodeKloud
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Reward Programming: Optimizing RL Efficiency and Safety: University of Colorado Boulder
  • AI Workflow: Enterprise Model Deployment: IBM

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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