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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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    Packt

    Building and Fine-Tuning LLM Applications

    Skills you'll gain: Retrieval-Augmented Generation, AI Workflows, Model Deployment, Transfer Learning, Application Deployment, Embeddings, Vector Databases, Model Evaluation

    Advanced · Course · 1 - 3 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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    Coursera

    Design Ethical AI Rewards and Policies

    Skills you'll gain: Reinforcement Learning, Regulatory Compliance, Due Diligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Policy Analysis, Policy Development, Algorithms

    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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    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Model Deployment, Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Statistical Methods, Prompt Engineering, Data Science, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Cloud Management, Model Evaluation, Data Management, AI Workflows, Azure Synapse Analytics, Cloud Computing, Data Pipelines, Continuous Monitoring, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

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    Macquarie University

    Cyber Security: Security of AI

    Skills you'll gain: AI Security, Responsible AI, Cyber Security Strategy, Cyber Attacks, Cyber Threat Intelligence, Cybersecurity, Data Security, DevSecOps, Security Engineering, Artificial Intelligence, Threat Modeling, Cyber Governance, Artificial Intelligence and Machine Learning (AI/ML), Risk Management, Encryption, Application Programming Interface (API), Machine Learning, Governance, Regulation and Legal Compliance, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 3 Months

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    Whizlabs

    Data Engineering in AWS

    Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Data Preprocessing, Amazon Web Services, Data Migration, Data Cleansing, Jupyter, Dimensionality Reduction, Machine Learning

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    Rating, 4 out of 5 stars
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    26 reviews

    Beginner · 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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    Whizlabs

    Modeling in AWS

    Skills you'll gain: Model Evaluation, AWS SageMaker, Predictive Modeling, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

    2.6
    Rating, 2.6 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Document and Evaluate LLM Prompting Success

    Skills you'll gain: Prompt Engineering, Prompt Patterns, MLOps (Machine Learning Operations), Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Development & Security

    Skills you'll gain: AI Security, Threat Modeling, Open Web Application Security Project (OWASP), Security Testing, Retrieval-Augmented Generation, Software Architecture, API Design, Test Automation, Vulnerability Management, Agentic systems, Systems Design, Model Evaluation, Test Driven Development (TDD), CI/CD, Python Programming, Continuous Deployment, Dependency Analysis, Large Language Modeling, Machine Learning, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Data Visualization with Plotly Express

    Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    269 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Building and Fine-Tuning LLM Applications: Packt
  • Introduction to RNN and DNN: Packt
  • Design Ethical AI Rewards and Policies: Coursera
  • Architecting with Google Compute Engine: Google Cloud
  • Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
  • Cyber Security: Security of AI: Macquarie University
  • Data Engineering in AWS: Whizlabs
  • Master Java Build Tools for ML Projects: Coursera
  • Modeling in AWS: Whizlabs
  • Document and Evaluate LLM Prompting Success: Coursera

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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