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  • Machine Learning Andrew Ng

Machine Learning Andrew Ng Courses

Machine learning courses can help you learn algorithms, data preprocessing, model evaluation, and neural networks. You can build skills in regression analysis, classification techniques, and clustering methods. Many courses introduce tools like Python, TensorFlow, and Scikit-learn, showing how these technologies are used to implement machine learning solutions in real-world applications.

Popular Machine Learning Andrew Ng Courses and Certifications


  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, AI powered creativity, Software Design Documents, Software Design, Prompt Engineering Tools, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, Machine Learning Software, Software Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Advanced · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud DevOps Engr

    Skills you'll gain: Site Reliability Engineering, Kubernetes, Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Application Deployment, Identity and Access Management, Prompt Engineering Tools, Cloud Deployment, Infrastructure As A Service (IaaS), Prompt Patterns, CI/CD, Containerization, Continuous Delivery, Dashboard Creation, Safety Culture, Culture Transformation, Problem Management, Data Import/Export, Data Access

    4.7
    Rating, 4.7 out of 5 stars
    ·
    55K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Google Cloud Database Engineer

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Prompt Engineering Tools, Containerization, Database Architecture and Administration, MySQL, Dataflow, PostgreSQL, Identity and Access Management, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Data Maintenance, Database Design, Database Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Job Skills
    Job Skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Kubernetes, Bash (Scripting Language), Restful API, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Grafana, Microservices, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Developer

    Skills you'll gain: Gemini, API Gateway, Google Gemini, Cloud Applications, Cloud-Native Computing, Kubernetes, Google Cloud Platform, Cloud Development, Containerization, Cloud Infrastructure, Application Deployment, Prompt Engineering, CI/CD, Serverless Computing, Microservices, Application Development, Identity and Access Management, Cloud Computing, Cloud Storage, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Software Design, Flask (Web Framework), Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Python Programming, NumPy, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Bestseller
    Bestseller
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Random Forest Algorithm, Advanced Analytics, Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Preprocessing, Fine-tuning, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Security Engineer

    Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Load Balancing, Prompt Engineering, Network Monitoring, Prompt Engineering Tools, Cloud Security, Containerization, Virtual Networking, Network Architecture, Infrastructure As A Service (IaaS), Network Routing, DevSecOps, Virtual Private Networks (VPN), Dashboard Creation

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Generative AI for Mobile App Developers: IBM
  • Preparing for Google Cloud Certification: Cloud DevOps Engr: Google Cloud
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Google Cloud Database Engineer: Google Cloud
  • IBM Back-End Development: IBM
  • Preparing for Google Cloud Certification: Cloud Developer: Google Cloud
  • Machine Learning: O.P. Jindal Global University
  • Applied Software Engineering Fundamentals: IBM
  • Data Science: Johns Hopkins University

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