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  • Mathematics For Ai Ibm

Results for "mathematics+for+AI+IBM"


  • Status: Free Trial
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    I

    IBM

    Generative AI for Executives and Business Leaders

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Artificial Intelligence, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Compliance Training, IBM Cloud, Cloud Computing Architecture, Strategic Leadership, Data Strategy, Brainstorming, Return On Investment, LLM Application, Governance

    4.7
    Rating, 4.7 out of 5 stars
    ·
    639 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
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    A

    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Responsible AI, Tensorflow, Data Ethics, PyTorch (Machine Learning Library), Internet Of Things, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Telecommunications, Artificial Intelligence, Emerging Technologies, Generative AI, Wireless Networks, Generative AI Agents, Network Performance Management, Network Architecture, Digital Communications, Network Protocols, Computer Networking, System Design and Implementation, Communication

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Probability & Statistics, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction, Graphing

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, Generative AI Agents, Vector Databases, OpenAI API, Model Deployment, Embeddings, Responsible AI, Software Development

    4.6
    Rating, 4.6 out of 5 stars
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    597 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New
    New
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    IBM

    Building AI Agents and Agentic Workflows

    Skills you'll gain: AI Orchestration, AI Workflows, LangChain, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Design, Prompt Engineering, Large Language Modeling, Context Management, Software Design Patterns, Software Development, Vector Databases

    4.7
    Rating, 4.7 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Web Applications, Python Programming, AI Enablement, Server Side, Artificial Intelligence, Code Review, Debugging, Integrated Development Environments, Programming Principles, Unit Testing

    4.5
    Rating, 4.5 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives

    Skills you'll gain: Data Strategy, Customer Relationship Management (CRM) Software, AI Personalization, AI Enablement, Sales Enablement, Model Deployment, Feature Engineering, Data Governance, Responsible AI, Model Evaluation, Data Preprocessing, Transfer Learning, Data Quality, Customer Data Management, Sales Management, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Reinforcement Learning, Natural Language Processing

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), 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, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    827 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Autoencoders, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

1234…9

In summary, here are 10 of our most popular mathematics+for+AI+IBM courses

  • Generative AI for Executives and Business Leaders: IBM
  • AI for Telecommunications: AI CERTs
  • Mathematics for Machine Learning: Imperial College London
  • Foundational Mathematics for AI: Johns Hopkins University
  • IBM RAG and Agentic AI: IBM
  • Building AI Agents and Agentic Workflows: IBM
  • Developing AI Applications with Python and Flask: IBM
  • IBM Generative AI Engineering: IBM
  • AI for Executives: Khalifa University
  • Generative AI Engineering with LLMs: IBM

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