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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
    Free Trial
    U

    University of Michigan

    Creative Coding for Designers Using Python

    Skills you'll gain: Animations, Visualization (Computer Graphics), Simulations, Computer Graphics, Python Programming, Game Design, Creative Design, Object Oriented Programming (OOP), Scripting, Algorithms, Development Environment, Data Structures

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Deploying a Python Flask Web Application to App Engine Flexible

    Skills you'll gain: Google App Engine, Cloud Deployment, Cloud Applications, Google Cloud Platform, Application Deployment, Cloud Development, Cloud API, Web Applications, Cloud Services, Flask (Web Framework), Data Access, Cloud Storage, Image Analysis

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Deep-Dive into Tensorflow Activation Functions

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Responsible and Ethical AI

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Artificial Intelligence, Data Governance, Dependency Analysis, Law, Regulation, and Compliance, Machine Learning, AI literacy, Ethical Standards And Conduct, Data-Driven Decision-Making, Data Integrity, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Data Quality, Risk Management Framework, Model Evaluation, Data Security

    3.5
    Rating, 3.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture, Data Science

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Analyze Advanced Data Processing

    Skills you'll gain: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Analysis, Risk Modeling, Data Preprocessing, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Business Intelligence, Marketing Analytics, Apache

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Agentic AI Protocols (MCP, A2A, ACP)

    Skills you'll gain: Model Context Protocol, AI Integrations, Performance Tuning

    3.2
    Rating, 3.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Supervised Learning, Machine Learning, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Literacy, Data Visualization, Data Transformation, Data Analysis, Box Plots, Model Training, Python Programming, Data Science

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 4 Weeks

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

  • Creative Coding for Designers Using Python: University of Michigan
  • Deploying a Python Flask Web Application to App Engine Flexible: Google Cloud
  • Deep-Dive into Tensorflow Activation Functions: Coursera
  • Responsible and Ethical AI: Northeastern University
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
  • Agentic AI Protocols (MCP, A2A, ACP): Coursera
  • Deep Learning with TensorFlow: Packt
  • ML Model Training & Validation: Coursera
  • Data Prep for Machine Learning in Python: Corporate Finance Institute

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