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  • Exploring Programming Concepts

Results for "exploring programming concepts"


  • Status: New
    New
    P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Cybersecurity Tools & Cyberattacks

    Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Network Security, Threat Detection, Cyber Attacks, Authentications, Security Awareness, Digital Forensics, Security Controls, Infrastructure Security, Multi-Factor Authentication, Human Factors (Security)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, A/B Testing, Statistical Analysis, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Web Language, Web Design, HTML and CSS, Verification And Validation, Web Design and Development, Cloud Hosting, Web Development, Front-End Web Development, Web Content, Web Development Tools, GitHub, Semantic Web, Responsive Web Design, Integrated Development Environments, Web Servers, Servers, Cascading Style Sheets (CSS), Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Agentic AI: Actor Models and Subagent Architecture

    Skills you'll gain: Agentic Workflows, AI Workflows, Agentic systems, AI Orchestration, Claude Code, Generative AI Agents, Rust (Programming Language), Distributed Computing, Anthropic Claude, Go (Programming Language), LLM Application, Software Architecture, Maintainability, Software Design Patterns, Large Language Modeling, Scalability, TypeScript, Supervised Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Intuit

    Bookkeeping basics

    Skills you'll gain: Bookkeeping, Ledgers (Accounting), Financial Accounting, Financial Reporting, Accounting, Financial Statements, Accounting Records, General Accounting, General Ledger, Standard Accounting Practices, Transaction Processing, Balance Sheet, Income Statement, Business Ethics, Accounting Software, Ethical Standards And Conduct, Cash Flows, Equities, Journals

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Generative AI and LLMs on Databricks

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, AI literacy, AI Enablement, AI powered creativity, Artificial Intelligence, Large Language Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Museum of Modern Art

    Teaching with Art: Using Inquiry, Activities, and Themes

    Skills you'll gain: Instructional Strategies, Student-Centred Learning, Student Engagement, Teaching, Curriculum Planning, Liberal Arts, Creative Thinking, Creativity, Design Thinking, Art History, Curriculum Development, Empathy, Social Impact, Learning Styles, Aesthetics, Learning Strategies, Literacy, Self-Awareness, Emotional Intelligence, Communication Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular exploring programming concepts courses

  • Machine Learning with R: Packt
  • Introduction to Cybersecurity Tools & Cyberattacks: IBM
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Introduction to Machine Learning: Duke University
  • Introduction to HTML5: University of Michigan
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Agentic AI: Actor Models and Subagent Architecture: Pragmatic AI Labs
  • Bookkeeping basics: Intuit
  • Generative AI and LLMs on Databricks: Pragmatic AI Labs

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