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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


  • E

    Edureka

    Prompt Engineering for LLMs

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, LangChain, Large Language Modeling, Responsible AI, Generative AI Agents, OpenAI, Generative AI, AI Personalization, Context Management, Natural Language Processing, CI/CD, Python Programming, Pandas (Python Package), Scalability, Application Development, Safety and Security

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Miami

    Advanced Concepts in Additive Manufacturing

    Skills you'll gain: Manufacturing Processes, Materials science, Emerging Technologies, 3D Modeling, Artificial Intelligence, Automation, Engineering, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Architecting and Integrating Scalable AI Systems

    Skills you'll gain: Systems Architecture, Cloud Deployment, Systems Design, System Design and Implementation, Solution Architecture, Cloud Computing Architecture, Enterprise Architecture, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Systems Integration, Cloud Management, Unified Modeling Language, Performance Tuning, Application Programming Interface (API), Restful API, Requirements Analysis, System Monitoring, Managed Services, Business Requirements

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    STAR-CCM+: Fluid Flow & Thermal Simulation

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Simulation and Simulation Software, Engineering, 3D Modeling, Thermal Management, Process Analysis, Scientific Visualization, Geometry, Star Schema, Environment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Experimentation, Performance Testing, Benchmarking, Performance Analysis, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Advanced RAG Patterns

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, AI Workflows, Prompt Engineering, Data-Driven Decision-Making, Generative AI, Data Validation, Model Evaluation, Verification And Validation, A/B Testing, MLOps (Machine Learning Operations), Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Grasp Vector DB Basics

    Skills you'll gain: Vector Databases, Semantic Web, Database Theory, Database Design, Databases, NoSQL, Decision Making, Relational Databases, Data-Driven Decision-Making, Data Architecture, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Machine Learning Methods, System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    952 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Production ML Engineering: Packaging, APIs, and Testing

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Continuous Delivery, Test Automation, CI/CD, Continuous Integration, Technical Documentation, Unit Testing, API Design, Application Programming Interface (API), Maintainability, Version Control, Package and Software Management, Code Review, Verification And Validation

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    655 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Prompt Engineering for LLMs: Edureka
  • Self-Driving Cars: University of Toronto
  • Advanced Concepts in Additive Manufacturing: University of Miami
  • Architecting and Integrating Scalable AI Systems : Coursera
  • STAR-CCM+: Fluid Flow & Thermal Simulation: Coursera
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Advanced RAG Patterns: Coursera
  • Meta Database Engineer: Meta
  • Grasp Vector DB Basics: Coursera
  • Generative AI Engineering with LLMs: 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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