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  • Ibm Python

Ibm Python Courses

IBM Python courses can help you learn data analysis, machine learning, web development, and automation techniques. You can build skills in data visualization, statistical modeling, and developing applications using Python. Many courses introduce tools like Jupyter Notebooks, Pandas, and TensorFlow, that support handling data and implementing AI solutions. By engaging with these resources, you can gain practical experience in coding, data manipulation, and leveraging Python for various applications in technology and business.

Popular Ibm Python Courses and Certifications


  • Status: Free Trial
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    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Application Deployment, Applied Machine Learning, Fine-tuning, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Intermediate Python and Practical Skills

    Skills you'll gain: File I/O, JSON, Package and Software Management, Authorization (Computing), Web Scraping, Application Programming Interface (API), File Management, Python Programming, Authentications, Performance Tuning, Simulations, Data Management, Performance Testing

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    STARWEAVER

    GenAI Model Development and Production Engineering

    Skills you'll gain: Generative AI Agents, Generative AI, Kubernetes, Containerization, Enterprise Application Management, Docker (Software), Cloud Infrastructure, Scalability, MLOps (Machine Learning Operations), Large Language Modeling, Infrastructure Architecture, Performance Tuning, Application Deployment, Model Training, Continuous Deployment, Continuous Monitoring, Technology Strategies, Process Optimization, Automation, Job Evaluation

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Form Parsing with Document AI (Python)

    Skills you'll gain: Google Cloud Platform, Data Import/Export, Data Capture, Unstructured Data, Scripting, Text Mining, Data Manipulation, Scripting Languages

    Intermediate · Project · Less Than 2 Hours

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    Packt

    Master AWS DynamoDB

    Skills you'll gain: Amazon DynamoDB, Amazon Web Services, NoSQL, Database Development, Database Management, Query Languages, Database Design, Development Environment, Command-Line Interface, Software Development Tools, Performance Tuning, Scalability, Capacity Management, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Coursera

    Testing and Refining LLM Applications

    Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Script Development, Test Driven Development (TDD), Unit Testing, CI/CD, Continuous Integration, Software Testing, Testability, Large Language Modeling, Model Deployment, Test Case, Responsible AI, Security Testing, AI Workflows, Python Programming, Statistical Analysis, SQL

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Using Specialized Processors with Document AI (Python)

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence, Unstructured Data, Python Programming

    Intermediate · Project · Less Than 2 Hours

  • Status: New
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    Pragmatic AI Labs

    GitHub: AI-Augmented Testing and Refactoring

    Skills you'll gain: GitHub Copilot, Infrastructure as Code (IaC), Terraform, Rust (Programming Language), Test Script Development, Ansible, Test Driven Development (TDD), GitHub, Test Automation, Dependency Analysis, AI Integrations, Code Coverage, AI Workflows, Containerization, Unit Testing, Maintainability, Test Tools, Docker (Software), Style Guides, Software Testing

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Intermediate Python – Libraries, Tools & Practical Projects

    Skills you'll gain: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Plot (Graphics), Interactive Data Visualization, Data Visualization, Geospatial Mapping, JSON, Dashboard, Data Visualization Software, Numerical Analysis, Web Applications, File I/O

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular ibm python courses

  • Deep Learning with Keras and Practical Applications: Packt
  • Intermediate Python and Practical Skills: Packt
  • Optimizing Models for Production: Coursera
  • GenAI Model Development and Production Engineering: STARWEAVER
  • Form Parsing with Document AI (Python): Google Cloud
  • Master AWS DynamoDB: Packt
  • Testing and Refining LLM Applications: Coursera
  • Using Specialized Processors with Document AI (Python): Google Cloud
  • GitHub: AI-Augmented Testing and Refactoring: Pragmatic AI Labs
  • Generative AI Models and GPU Systems: Edureka

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